BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-asia-2023 BEGIN:VTIMEZONE TZID:KST BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1 TZNAME:KST TZOFFSETFROM:+0900 TZOFFSETTO:+0900 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-Q7UAYK@talks.osgeo.org DTSTART;TZID=KST:20231128T093000 DTEND;TZID=KST:20231128T133000 DESCRIPTION:This workshop offers a comprehensive introduction to utilizing Python programming for geospatial analysis and visualization. Geospatial d ata is essential in various domains such as environmental sciences\, urban planning\, agriculture\, and disaster management. This workshop aims to e quip participants with foundational skills to harness the power of Python libraries and tools for handling\, analyzing\, and visualizing geospatial data.\nBy the end of the workshop\, participants will have a solid grasp o f the core principles of geospatial data handling using Python. They will be empowered to create their own geospatial projects\, capable of ingestin g\, analyzing\, and visualizing spatial data to derive meaningful analysis . DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Basic Python for Geospatial - Feye Andal\, FRITZ DARIEL ANDAL URL:https://talks.osgeo.org/foss4g-asia-2023/talk/Q7UAYK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-DEXQVW@talks.osgeo.org DTSTART;TZID=KST:20231128T093000 DTEND;TZID=KST:20231128T133000 DESCRIPTION:In this workshop we will first show you how to get started with plugin installation and plugin development using PyQGIS and related Pytho n packages in QGIS for automatic map generation.\nIf the participants can follow me\, we will follow these instructions.\n1. Plugin installation and plugin builder configuration\n2. Write simple Python code to upload a sha pe or geo package or PostGIS layer to QGIS desktop and add it to the plugi n with the appropriate PyQT design.\n3. some symbols and map creation and creating a special button in plugin to do such actions automatically.\n\nI will consider this workshop for beginner and intermediate level\, but und erstanding of QGIS is necessary. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:PyQGIS and plugin development in QGIS for automatic map creation - Hamidreza Ostadabbas URL:https://talks.osgeo.org/foss4g-asia-2023/talk/DEXQVW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-NDWJ3T@talks.osgeo.org DTSTART;TZID=KST:20231128T093000 DTEND;TZID=KST:20231128T133000 DESCRIPTION:In the era of cloud computing\, it is important to have a good understanding of cloud-optimized geospatial technologies in order to carry out earth observation tasks effectively. This workshop\, led by SI Analyt ics' experienced engineers\, will provide valuable insights about the curr ent status of cloud-native earth observation technologies.\n\nDuring the w orkshop\, we will delve into the details of cloud-optimized GeoTIFF (COG)\ , spatio-temporal asset catalog (STAC)\, TiTiler\, and Leafmap. These tech nologies have the potential to simplify earth observation workflows and ma ke them more efficient. Specifically\, we will cover the efficient storage and access of earth observation data using COG and STAC\, dynamic tiling using TiTiler\, and interactive map visualization using Leafmap.\n\nThis w orkshop is designed for researchers and engineers who are interested in im proving their earth observation tasks by using cloud-native geospatial too ls. While a basic understanding of Python programming\, remote sensing\, a nd GIS is assumed\, attendees will have the opportunity to learn and enhan ce their skills throughout the workshop. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Empowering Earth Observation Tasks with STAC and Leafmap: A Hands-O n Workshop - Sangwoo Ham URL:https://talks.osgeo.org/foss4g-asia-2023/talk/NDWJ3T/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LGRNZ3@talks.osgeo.org DTSTART;TZID=KST:20231128T093000 DTEND;TZID=KST:20231128T133000 DESCRIPTION:This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib\, Shape ly\, Fiona/Rasterio\, and common geospatial libraries like GDAL\, PROJ\, p ycsw\, as well as other tools from the geopython toolchain. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Doing Geospatial analysis with Python - krishna lodha\, json singh\ , Aman Bagrecha URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LGRNZ3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-WEAGWW@talks.osgeo.org DTSTART;TZID=KST:20231128T140000 DTEND;TZID=KST:20231128T180000 DESCRIPTION:Moving feature data can represent various phenomena\, including vehicles\, people\, animals\, weather patterns\, and more. Conceptually\, Moving Features are dynamic geospatial data that change location and poss ibly other characteristics over time. \n\nOGC API – Moving Features (OGC API – MF) provides a standard and interoperable way to manage such data \, with valuable applications in transportation management\, disaster resp onse\, environmental monitoring\, and beyond. OGC API – MF also includes operations for filtering\, sorting\, and aggregating moving feature data based on location\, time\, and other properties. \n\nThis workshop will ge t you started with OGC API – MF and its implementation in MF-API Server that is based on pygeoapi and MobilityDB\, covering the following question s:\n- What is the core concept of OGC API – MF (and OGC MF-JSON format)? \n- How to implement OGC API – MF with pygeoapi and MobilityDB?\n- How c an we visualize its results with STINUUM (with CesiumJS)?\n- How can we im plement a new feature that hasn't been implemented yet?\n\nThe below open sources will be used in this workshop:\n- MF-API Server based on pygeoapi: https://github.com/aistairc/mf-api \n- OGC API – Moving Features offici al GitHub repository: https://github.com/opengeospatial/ogcapi-movingfeatu res\n- MobilityDB (and its Python driver\, PyMEOS\, and MEOS): https://git hub.com/MobilityDB \n- STINUUM: https://github.com/aistairc/mf-cesium \nTh e installation of each program will use a Docker file.\n\nLastly\, you can check many helpful information about OGC API – MF here: https://ogcapi. ogc.org/movingfeatures/ DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:OGC API – Moving Features\, an introduction with MF-API Server ba sed on pygeoapi and MobilityDB - Wijae Cho\, Taehoon Kim\, Hirofumi Hayash i\, Tsubasa Shimizu\, Tran Thuan Bang\, Kyoungsook Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/WEAGWW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-89ZABR@talks.osgeo.org DTSTART;TZID=KST:20231128T140000 DTEND;TZID=KST:20231128T180000 DESCRIPTION:The Learning Objective of this session is "understand how to cr eate your own high quality artisinal point clouds\, pixels\, and triangula r meshes with low-cost hardware and open-source software".\n\nOpenDroneMap is free (libre) and open source photogrammetry toolkit targeted at low fl ying aircraft and other photogrammetric imagery processing. For the first half of the workshop\, we will go over drone mapping basics: hardware\, so ftware\, and best practices. \n\nThe second half of the workshop focuses o n software processing of images from the drone in order to make the images usable as geospatial datasets. We'll take users through installation and use of OpenDroneMap\, WebODM\, and the processing of datasets\, settings\, and options therein\, and discuss and demonstrate options for hosted and scalable OpenDroneMap solutions. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:FOSS4U -- Free and Open Source for Uncrewed Aerial Systems - Stephe n Mather URL:https://talks.osgeo.org/foss4g-asia-2023/talk/89ZABR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-BYLNPM@talks.osgeo.org DTSTART;TZID=KST:20231128T140000 DTEND;TZID=KST:20231128T180000 DESCRIPTION:In the era of geospatial data-driven insights\, the ability to efficiently retrieve and visualize environmental data is crucial for infor med decision-making. This session\, titled "Environmental Data Retrieval ( EDR) for Visualizing Coverage JSON on Maplibre-gl\," aims to delve into th e process of creating EDR APIs\, generating Coverage JSON files\, and seam lessly visualizing them on the Maplibre-gl platform. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Environmental Data Retrieval (EDR) for Visualizing Coverage JSON on Maplibre-gl - Nutthapol Jansuri\, Sattawat Arab URL:https://talks.osgeo.org/foss4g-asia-2023/talk/BYLNPM/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-SYDTNY@talks.osgeo.org DTSTART;TZID=KST:20231128T140000 DTEND;TZID=KST:20231128T180000 DESCRIPTION:GeoServer is a much loved open-source project and one of the mo st popular web mapping services in the world. This workshop provides a gen tle hands-on introduction in setting up and enjoying GeoServer.\n\nThis wo rkshop covers the advantages of using GeoServer\; looking at the abilities of this open-source technology.\n\n* We will start with a demonstration o f geoserver installation and touch on system requirements and installation of extensions\n\n* Hands-on publication of spatial data (vector\, raster and database).\n\n* GeoServer styling and web mapping use\n\n* Preflight c heck-lists making sure your datasets\, and web services\, are ready for us e.\n\n* Demonstration of one-click-publishing from Desktop GIS using geoca t-bridge tool.\n\n* For those migrating from ESRI software this workshop o ffers an opportunity to explore foss4g similarities and differences.\n\nTh is session is a great way to get started\, geared towards those with no pr ior open source experience. Familiarity with GIS concepts is recommended f or attendees\, and you are welcome to bring your own data.\n\nThis is a ha nds-on workshop: If you are comfortable installing software on your laptop you are encouraged to do so. If you can not install it is okay - GeoCat w ill provide a hosted GeoServer (so only a browser is required to attend). DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Getting Started with GeoServer - Jody Garnett URL:https://talks.osgeo.org/foss4g-asia-2023/talk/SYDTNY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-EDVX8D@talks.osgeo.org DTSTART;TZID=KST:20231129T100000 DTEND;TZID=KST:20231129T113000 DESCRIPTION:FOSS4G-Asia 2023 Seoul Opening Ceremony DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:FOSS4G-Asia 2023 Seoul Opening Ceremony - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/EDVX8D/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-HNWYZV@talks.osgeo.org DTSTART;TZID=KST:20231129T131000 DTEND;TZID=KST:20231129T132500 DESCRIPTION:- Opening Remark by Co-chairs: Ki-Joune Li and Maria A. Brovell i(5 minutes)\n- Welcoming Address by Seoul Metropolitan Government\, Miyeo n Seo(5 minutes)\n- Welcoming Address by Ministry of Defense\, Korea DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - Opening & Welcoming - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/HNWYZV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-UUYEDT@talks.osgeo.org DTSTART;TZID=KST:20231129T132500 DTEND;TZID=KST:20231129T134500 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - Overview on UN Open GIS Initiative by Kyoung-Soo Eom - FOSS4 G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/UUYEDT/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-9ZVLUX@talks.osgeo.org DTSTART;TZID=KST:20231129T133000 DTEND;TZID=KST:20231129T135000 DESCRIPTION:Welcome to GeoNetwork and FOSS4G! GeoNetwork is a leading open- source web catalog for keeping track of the spatial information. For those transitioning to FOSS4G from an integrated environment we help explain ho w everything fits together.\n\nThis orientation session introduces GeoNetw ork (as a software component)\, providing a high-level view to explain how foss4g software is intended to work together. If you are transitioning fr om an ESRI environment this critical talk to attend as open source technol ogy is often presented in isolation.\n\nThis presentation covers:\n\n* We look at what GeoNetwork is for\, the business challenge it is faced with\, and the amazing technical approach taken by the technology.\n\n* We will show the the publishing workflow to see what is required\, and look at how harvesting can jump start your catalog contents \n\n* We peek under the h ood at how the editor works\, and discover the central super-power of GeoN etwork\n\n* Look at examples of how GeoNetwork has been extended by organi zations to see what is possible with this technology\n\nGeoNetwork is an e stablished technology - recognized as an OSGeo project and member of the f oss4g community for over a decade. We would love to welcome you to the con ference and share what this project has to offer. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Welcome to Geonetwork - Jody Garnett URL:https://talks.osgeo.org/foss4g-asia-2023/talk/9ZVLUX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-FXHHCN@talks.osgeo.org DTSTART;TZID=KST:20231129T133000 DTEND;TZID=KST:20231129T135000 DESCRIPTION:North Nashville\, historically marginalized\, faces pronounced health disparities\, especially in hypertension and diabetes. Socioeconomi c factors intensify these health challenges\, with food accessibility emer ging as a pivotal determinant. This FOSS4G 2023 presentation underscores t he role of community mapping in addressing these disparities.\n\nWhile foo d accessibility—defined by the availability and affordability of nutriti ous options—shapes community health\, traditional USDA methods\, like fo od desert mapping\, might not fully encapsulate challenges in areas like N orth Nashville.\n\nOur solution is the North Nashville Community Mapping P roject\, a participatory initiative leveraging QGIS and Google Maps\, loca l insights\, and community engagement. This project\, detailed at https:// www.communitymap.net/nashville-food\, integrates geospatial data with comm unity feedback\, offering a holistic view of North Nashville's food landsc ape. Conducted on April 15th\, 2023\, participants engaged in mapping\, wo rkshops\, and surveys.\n\nThe data will guide strategies to enhance food a ccessibility and health in North Nashville. In essence\, we aim to spotlig ht community mapping's potential in mitigating health disparities and cham pioning health equity in marginalized regions. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Community Mapping in North Nashville\, TN: Navigating the Divide to Enhance Food Access in Underserved Areas - Wansoo Im URL:https://talks.osgeo.org/foss4g-asia-2023/talk/FXHHCN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-JVYZYN@talks.osgeo.org DTSTART;TZID=KST:20231129T133000 DTEND;TZID=KST:20231129T135000 DESCRIPTION:Working with data has many challenges on it’s own and when yo u add a geospatial factor into makes it even harder. In my belief data nev er lives in isolation\, it always exists in relation to something (sorry N oSQL) and PostgreSQL provides a great starting point as our not just geosp atial database but database for everything. \n\nIn this talk we’ll talk briefly about long history of postgres and how it’s ecosystem can help y ou build a database for all your needs. In particular we’ll look at exte nsions like:\n\n- PostGIS (obviously)\n- pg_raster (for handling rasters)\ n- timescaleDB (for handling time series data)\n- uber h3 (h3 indexing for your geospatial data)\n- ogr_fdw (OGR FDW allows you to connect to any OG R supported data source.)\n- pg_eventserv\, pg_cron\, pg_ivm and many more will be referenced\n\nMoreover we’ll look at how you can combine some e xtensions like (postgis[spatial] + timescaleDB[temporal]) to create someth ing that fits your use case. \n\nNow we have designed our database but it ’s time to deploy it on the cloud\, let’s look at available solutions which includes from self-managed to service based and everything in betwee n. \n\n- Managed services like - AWS RDS. Aurora\, CrunchyData\, EDB\, Tim escale\n- Deploying your own using Linux Instances\n- Deploying on K8s clu sters using postgres operators\n\nWe’ll use OSM data as our sample datas ets plus more as needed. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Building a Robust Open Source Geospatial Database Solution using Po stgreSQL and its Ecosystem - json singh URL:https://talks.osgeo.org/foss4g-asia-2023/talk/JVYZYN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-U9HWZA@talks.osgeo.org DTSTART;TZID=KST:20231129T134500 DTEND;TZID=KST:20231129T140500 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - UN Maps by Diego Gonzalez Ferreiro - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/U9HWZA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GEDDQG@talks.osgeo.org DTSTART;TZID=KST:20231129T135000 DTEND;TZID=KST:20231129T141000 DESCRIPTION:OpenStreetMap (OSM) is a well-known crowdsourced map collaborat ively created by global communities. The data production of OSM relies on a geographical data model enabling volunteers to collaboratively contribut e their data on the single platform. The data production mechanism of OSM actually gets attention from map authorities which attempt to move towards a collaboration-based framework. However\, the data production of map aut horities is required to be compatible with institutional policies and stan dards. The top-down approach of map authorities is actually different from the bottom-up approach of OSM. There is a gap between OSM’s collaborati ve model and the institutional model of map authorities. To embed the OSM framework into the production mechanism of map authorities\, the research starts with investigation of the differences in feature models between OSM and the map authority of Taiwan. According to the investigation of the fe ature models\, data transformation tools have been designed to transfer in stitutional data to OSM. The data transformation enables the institutional data providers to contribute their data on the OSM-based map platform. Th e institutional data providers can be surveyors of the map authority or ot her agencies taking charge of geographic data such as river\, land covers\ , forest\, etc. This OSM-based collaboration model is actually created for instructional data contribution but not for crowdsourced data contributio n. Moreover\, the insertion of the OSM mechanism in map authorities certai nly has impacts and conflicts with institutional data production. This res earch analyzes the possible impacts and conflicts. It would be valuable fo r map authorities to adopt the collaborative model for their data producti on. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Embedding the OpenStreetMap Framework into the Production Mechanism of Map Authorities: A story so far - Dongpo Deng URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GEDDQG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-HLXCSY@talks.osgeo.org DTSTART;TZID=KST:20231129T135000 DTEND;TZID=KST:20231129T141000 DESCRIPTION:In the past\, the installation of GIS applications often encoun tered challenges regarding the flexibility of services\, which were unable to be scaled to accommodate a growing number of users. The interconnectio n and exchanging of data across services were constrained\, and service se paration was not feasible. These issues had a significant impact on overal l usability.\n\nThe design and deployment of applications in the form of m icroservices are gaining popularity and widespread adoption. This approach aims to provide flexibility to the installation process\, allowing servic es to be added or reduced as needed to align with usage requirements. It c an subdivide services into smaller units to facilitate installation\, foll owing the principles outlined in The Twelve-Factor App (https://12factor.n et/).\n\nNowadays\, GIS application development has OGC Standards\, which are standardized guidelines that define the process of storing and providi ng geospatial data. These standards encompass a multitude of aspects of ge ospatial information interoperability. Therefore\, the principles of The T welve-Factor App can be adapted to the design and deployment of GIS applic ations\, ensuring compliance with OGC Standards.\n\nThis session will elab orate on how the principles of The Twelve-Factor App can be harmonized wit h OGC Standards\, as well as the various technologies selected for the des ign and deployment of applications. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Design and Deploy Microservice for GIS Application apply OGC Standa rd - Worrathep Somboonrungrod URL:https://talks.osgeo.org/foss4g-asia-2023/talk/HLXCSY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-W8WCWX@talks.osgeo.org DTSTART;TZID=KST:20231129T135000 DTEND;TZID=KST:20231129T141000 DESCRIPTION:GEOS WASM project (https://github.com/chrispahm/geos-wasm) was started by [@chrispahm](https://github.com/chrispahm) from the following i ssue.\n\n* [geos-wasm - Is it worth the effort? · Issue #2 · tmcw/geos-w asm](https://github.com/tmcw/geos-wasm/issues/2)\n\nI noticed the project from the following [@kylebarron](https://github.com/kylebarron)'s blog art icle\,\n\n* [Thoughts on GEOS in WebAssembly | Kyle Barron](https://kyleba rron.dev/blog/geos-wasm)\n\nthen started some contribution.\n\nI am just o ne contributor\, but I will explain the project status and current my tria l of tester app (https://sanak.github.io/geos-wasm-tester/\, now)\, then t alk further topic about WebAssembly power for geospatial analysis. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:GEOS runs on web browser - WebAssembly power for geospatial analysi s - Ko Nagase URL:https://talks.osgeo.org/foss4g-asia-2023/talk/W8WCWX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-PTGZXH@talks.osgeo.org DTSTART;TZID=KST:20231129T135000 DTEND;TZID=KST:20231129T141000 DESCRIPTION:The SpatioTemporal Asset Catalogs (STAC)\, introduced in 2017\, is an open standard for organizing and sharing geospatial data\, and its usage also conforms to FAIR principles for data. Consequently\, many organ izations have adopted the STAC specification as a standard for implementin g and providing their data in STAC format. As a means for spatial temporal asset indexing\, STAC is presented in JSON or GeoJSON formats\, enabling interoperability with various services and facilitating comprehension for both machines and humans. STAC is not constrained to specific types of geo spatial data\; it can be utilized to catalog a diverse range of assets\, f rom satellite imagery to environmental datasets. Through a well-designed s tructure\, it can be integrated into various applications\, allowing organ izations to harness existing datasets for diverse purposes. STAC also poss esses the capability to search for metadata describing assets based on tim e and location\, rendering spatial temporal assets easily discoverable and accessible. \n\nIn Thailand\, STAC is applied in various scenarios\, incl uding the GISTDA Decision Support System for Disaster Management Platform. In the platform\, STAC catalogs vector data related to flooding areas\, t hermal activities\, and drought indices. Therefore the implemented applica tion can efficiently browse and retrieve data from the STAC catalog\, enha ncing data retrieval speed and user experience. Similarly\, the GISTDA Sat ellite Platform utilizes STAC to catalog satellite imagery. In the impleme nted application\, users can search for desired satellite images based on time\, location\, and conditions. This streamlined approach simplifies the process\, allowing users to find the images they need quickly and easily. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:STAC Specification and Implementation in Real World - Siriya Saenkh om-or\, Sattawat Arab URL:https://talks.osgeo.org/foss4g-asia-2023/talk/PTGZXH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GPP9MB@talks.osgeo.org DTSTART;TZID=KST:20231129T140000 DTEND;TZID=KST:20231129T180000 DESCRIPTION:11/29 Seoul Geospatial Forum DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:Seoul Geospatial Forum - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GPP9MB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GRTY7F@talks.osgeo.org DTSTART;TZID=KST:20231129T140500 DTEND;TZID=KST:20231129T142500 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - Open Source Software Operation in GSI Japan by Soichiro Take saki - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GRTY7F/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MDBKTZ@talks.osgeo.org DTSTART;TZID=KST:20231129T141000 DTEND;TZID=KST:20231129T143000 DESCRIPTION:The OGC SensorThings API is one of the OGC API Standards introd uced in 2016. Its primary goal is to standardize and provide a unified app roach to managing and interacting with Internet of Things (IoT) sensor dat a within a geospatial context. This standardization is essential for appli cations that rely on location-based data\, including environmental monitor ing\, smart cities\, precision agriculture\, and asset tracking.\n \nNowad ays\, there is an increasing adoption of IoT (Internet of Things) technolo gy which facilitates the connection of devices to the cloud\, making it m ore convenient to monitor information originating from these devices\, the reby unlocking the value of incoming data over time. The OGC SensorThings API serves as an optimal choice for managing IoT data\, enabling seamless interaction and analysis of observations.\n\nIn the context of the SensorT hings API\, an IoT device or system is conceptualized as a "Thing\," which has a specific "Location" and can link to one or multiple "Datastreams." Each "Datastream" observes an individual "ObservedProperty" through a corr esponding "Sensor\," generating numerous "Observations." Each "Observation \," measured from the "Sensor\," pertains to a distinct "FeatureOfInterest ." Collectively\, these interconnected relationships establish a flexible and standardized approach for describing and modeling diverse sensing syst ems.\n\nThe SensorThings API contains a comprehensive Create-Read-Update-D elete (CRUD) endpoint\, facilitating a user interface where users can effe ctively manage device data. To enhance convenience and facilitate streamli ned management of device-related information\, a management interface\, wh ether in the form of a website or an application\, significantly contribut es to the ease of data management. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:IoT Management System in OGC SensorThings API Standard - Siriwat Su ttipanyo\, Siriya Saenkhom-or URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MDBKTZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MTXPRN@talks.osgeo.org DTSTART;TZID=KST:20231129T141000 DTEND;TZID=KST:20231129T143000 DESCRIPTION:Hydrological models play a pivotal role in mathematically simul ating the complexities of real-world hydrological processes. However\, acc urately capturing the intricate physical nature of basin hydrology through parameterized representations remains a formidable challenge\, particular ly in regions with limited or unavailable gauge sites\, a prevalent scenar io in developing nations and remote locales. A notable trend has recently emerged where remote sensing inversion products or reanalysis data\, such as evapotranspiration\, soil water\, and leaf area index\, are increasingl y used as substitutes for ground truth observations in the calibration of hydrological models. But this introduces a considerable risk when directly employing them for hydrological modeling as these products inherently har bor unknown errors.\n\nThis study intends to address the above challenges by proposing an adaptive procedural fitting algorithm to support multivari ate calibration\, employing an iterative stepwise approach. The algorithm simplifies the hydrological model into a directed graph\, with each node r epresenting a subprocess in the hydrological model. This allows for quanti fying the impact of a parameter on each subprocess by considering the trav ersal relationship between the subprocess to which the parameter is attach ed and other subprocesses. Consequently\, the iterative calibration proces s enables the updating of parameters at different levels or learning rates . Furthermore\, two categories of methods were introduced to evaluate the outputs of subprocesses relative to their calibrated datasets: ground trut h observations and non-observation data with unknown errors. One category employs standard metrics to evaluate the simulated data against observatio ns\, while the other utilizes multiple collocation methods to evaluate the simulation with the data with unknown errors. The proposed multivariate c alibration framework offers an innovative approach to hydrological modelli ng\, facilitating the effective utilization of increasingly abundant remot e sensing products and reanalysis data to enhance the accuracy and reliabi lity of hydrological models.\n\nThe presented approach has been realized t hrough the utilization of an open-source GIS solution\, integrating tools such as Python\, xarray\, geopandas\, multiprocessing and SWAT to form an efficiently processed parallel program. The demonstration was applied in a case study conducted within the Malian river Basin situated in Gansu Prov ince\, China\, involving the integration of remotely sensed ET products an d gauged streamflow datasets to showcase the applicability and effectivene ss of the proposed method. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Adaptive Process Fitting: A Novel Approach to Multivariable Calibra tion in Hydrological Modeling - Song\, Xianfeng\, Yan He\, chen wang URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MTXPRN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-99QP7U@talks.osgeo.org DTSTART;TZID=KST:20231129T141000 DTEND;TZID=KST:20231129T143000 DESCRIPTION:Ecosystems in desert areas are very sensitive and their protect ion is necessary. Nebakhs are one of these ecosystems in many parts of the world. These phenomena have a special importance in preventing desertific ation and their proper monitoring and management can be a way to preserve them. However\, the difficulty of conducting field surveys and measurement s in desert areas can hinder the collection of accurate\, up-to-date and c omprehensive information from these areas. Volunteered geographic informat ion (VGI) from cheap drones and their operators can be very useful in this regard. But on the one hand\, these drones usually only have RGB sensors\ , and on the other hand\, the people who work with these drones do not hav e much access to commercial software. Therefore\, using RGB-based indices and open source software can help a lot. In the current research\, QGIS op en source software is used to calculate RGB indices including NRI and RBD\ , NBI\, MGRVI\, GRRI\, RGBVI\, NGI\, EXG\, GLA\, etc to extract informatio n related to Nebkhas including canopy area and so on. The results show tha t UAV images and RGB indices\, especially RGBVI\, NGI and EXG\, can help t o extract properties of Nebkhas. The use of VGI data in the form of cheap UAV images and RGB indices in the framework of open source software has th e ability to improve the process of monitoring and managing sensitive dese rt ecosystems such as Nebkhas in a good and accurate way. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Drones Help to Desert Ecosystems: The Use of RGB indices and open s ource software (a case study of Lut desert) - Masoud Minaei URL:https://talks.osgeo.org/foss4g-asia-2023/talk/99QP7U/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MV3H9R@talks.osgeo.org DTSTART;TZID=KST:20231129T141000 DTEND;TZID=KST:20231129T143000 DESCRIPTION:We created a REST API to register\, search\, and delete spatio- temporal data based on OGC API-Features\, an international standard specif ication of the Open Geospatial Consortium (OGC)\, an international standar dization organization for geospatial information\, and the Moving Feature Encoding Extension-JSON (MF-JSON) specification\, an international OGC sta ndard specification developed mainly by AIST. \nTo create the API\, we bui lt an OGC-API server using pygeoapi and PyMEOS.PostgreSQL was used as the DB\, and mobilityDB was used as an extension library for storing spatio-te mporal data.For spatio-temporal data were stored using MobilityDB-specific type formats (TBool\, TText\, TInt\, and TFloat).When converting MF-JSON for spatio-temporal data using PyMEOS functions\, some tag names were not supported for conversion.Therefore\, we implemented an additional process to convert the tag name to one that can be successfully registered before executing the PyMEOS function.\nAlso\, at the time of this implementation\ , there were no source code modification guidelines for pygeoapi\, so the API implementation was realized by directly modifying the source code of t he lib directory that handles the API request processing. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:API Implementation of the OGC API Moving Feature - Taehoon Kim\, Hi rofumi Hayashi\, Tsubasa Shimizu\, Tran Thuan Bang\, Kyoungsook Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MV3H9R/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-E9W9NQ@talks.osgeo.org DTSTART;TZID=KST:20231129T142500 DTEND;TZID=KST:20231129T144500 DESCRIPTION:This talk is about the current state of MilMap and its ongoing development. MilMap is a military geo-portal system widely and successfull y used in every sectors of Korean military. The system is now undergoing m ajor upgrade from geo-portal to military digital twin system. \n\nMilMap i s developed on top of numerous open source projects such as PostGIS\, GeoS erver\, GeoWebCache\, Cesium\, OpenLayers\, mago3D\, OpenGXT. The system p rovides several functionalities like POI search\, geospatial data search\, layer control\, satellite image search and download\, spatial terrain ana lysis\, coordinates reading\, and map notes\, to the military officers thr ough the intranet. Although the system provides geospatial analytics funct ions through OGC WPS(Web Processing Service)\, the current system is basic ally a web based 3D GIS for data viewing and printing. Thanks to MilMap\, military officers can now access the huge amount of geospatial data(maps\, imagery\, 3D\, POI\, and others) in their browser without installing addi tional software. \n\nMilMap is now undergoing major development to be a mo re customized\, automated\, and analytical system. The future MilMap will support user data uploading for intelligence sharing\, more bespoke battle field analysis and others. In the long run\, MilMap is expected to be a c loud based military digital twin system for geospatial intelligence sharin g and battle field analysis & simulation.\n\nThis research is financially supported by the Institute of Civil Military Technology Cooperation funded by the Defense Acquisition Program Administration and Ministry of Trade\, Industry and Energy of Korean government under grant No. UM22402RD4. DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - Geospatial Analysis for Defense Digital Twins(MilMap 4.0) - Sanghee Shin URL:https://talks.osgeo.org/foss4g-asia-2023/talk/E9W9NQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-A3SUZH@talks.osgeo.org DTSTART;TZID=KST:20231129T143000 DTEND;TZID=KST:20231129T145000 DESCRIPTION:We\, GSI\, are distributing the web map data "GSI Tiles" as ope n data and are also releasing the web map site "GSI Maps" using FOSS as op en source under the open policy in order to make our national geospatial i nformation available to as many people as possible. \nIn this effort\, whi le we have so far continued to provide a stable supply of map tiles in ima ge format mainly\, we are also interested in promoting map tiles that can be flexibly used at a lower cost. To this end\, in recent years\, we have released vector tiles on a test basis and tried building a scheme from pro duction to consumption of vector tiles with the use of FOSS. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Adopting new technologies in a national geospatial information auth ority - FOSS4G use in Geospatial Information Authority of Japan (GSI) - So ichiro Takesaki URL:https://talks.osgeo.org/foss4g-asia-2023/talk/A3SUZH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-W9FGGN@talks.osgeo.org DTSTART;TZID=KST:20231129T143000 DTEND;TZID=KST:20231129T145000 DESCRIPTION:In this talk we discover various aspects of styling in Geoserve r. It allows us to style using various languages such as SLD\, YSLD\, CSS\ , etc. along with ability to create style using no-code way ( Geostyler ) .\nIn this talk we explore how to style Point\, LineString\, Polygon\, Ras ters. We'll cover following tasks\n1. Attribute based Styling\n2. Zoom bas ed Styling\n3. Variable Styling\n4. Labelling and it's optimisation\n5. Le gends DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Geoserver Styling Guide - krishna lodha URL:https://talks.osgeo.org/foss4g-asia-2023/talk/W9FGGN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-UGY3XT@talks.osgeo.org DTSTART;TZID=KST:20231129T143000 DTEND;TZID=KST:20231129T145000 DESCRIPTION:Remote sensing evapotranspiration (RS-ET) products have been th e ubiquitous datasets of echo-hydrology\, increasingly employed in precise hydrological modeling. However\, these diverse ET products often offer co nsiderable uncertainties\, posing substantial challenges when incorporatin g them into hydrological models. This study aims to investigate the effect s of integrating remote sensing evapotranspiration (RS-ET) products into t he calibration of hydrological models. Specifically\, we address two main questions: (1) among those RS-ET products considered\, which offers the hi ghest hydrologic predictability for hydrological modeling? (2) What is the optimal scale for incorporating RS-ET datasets into the hydrological mode l to achieve maximum benefits for enhancing hydrological modeling accuracy ? \nWe conducted an in-depth exploration of these questions by implementin g a hydrological modeling experiment using the Soil and Water Assessment T ool (SWAT) within the Meichuanjiang Basin in Jiangxi Province\, China. Thi s research employed four distinct RS-ET products: MOD16\, GLASS\, SSEBop\, and ETMonitor\, along with a merged product. Additionally\, we examined t hree distinct scales for aggregating RS-ET datasets: subbasin (SUB)\, land use (LU)\, and hydrological response unit (HRU).\nOur findings revealed d iscernible variations in the evapotranspiration (ET) simulations of SWAT m odels across the study area\, upon the calibration with five distinct prod ucts. Notably\, GLASS and the fusion datasets demonstrated superior ET sim ulation performance with best scores\, evaluated by a Kling-Gupta Efficien cy (KGE) both surpassing 0.6. However\, SSEBop yielded the lowest KGE of a pproximately 0.5. This study further highlighted that while the accuracy o f ET simulations was enhanced\, this improvement incurred a marginal cost in terms of a slight reduction in streamflow precision. However\, this com promise was deemed acceptable due to its role in contributing to a more ac curate spatial representation of catchment behavior while mitigating equif inality.\nSimilarly\, at different scales of the same ET dataset used in c alibration\, although the differences in simulation results might be minim al\, each dataset seems to have a specific optimal input scale. Notably\, during the simulation of the evapotranspiration hydrological component\, t here is a particularly significant observation: the land use (LU) or subba sin (SUB) scale often proves to be more effective. The rationale for selec ting the LU scale lies in the strong correlation between ET and various la nd use types. By analyzing each land use type separately\, we can more acc urately capture their distinct ET patterns\, leading to improved simulatio n outcomes. Conversely\, the enhanced effectiveness of the SUB scale can b e attributed to the scale aggregation effect.\nConsidering that different RS-ET datasets and aggregation scales introduce uncertainty in observation data for calibration\, we infer that the uncertainty in observation data gives rise to simulation uncertainty in inversing SWAT\, subsequently back propagating into parameter uncertainty. These findings shed light on the c ritical significance of carefully considering the quality of RS-ET dataset s and the chosen aggregation scale in the context of hydrological modeling . DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Enhancing Hydrological Modeling with Remote Sensing Evapotranspirat ion Products: Impacts of Dataset Qualities and Aggregation Scales - Song\, Xianfeng\, Yan He\, chen wang URL:https://talks.osgeo.org/foss4g-asia-2023/talk/UGY3XT/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LKR99R@talks.osgeo.org DTSTART;TZID=KST:20231129T143000 DTEND;TZID=KST:20231129T145000 DESCRIPTION:This presentation introduces Scan data to Building Information Modeling (BIM) in 3D Geographic Information System (GIS). The focus of the methodology is on automatically generating building mass and facade infor -mation on the GIS platform using 3D Point Cloud Data (PCD). Advanced scan ning techniques capture detailed geometry from the physical site and gener ate high-resolution point clouds\, which are processed to create 3D models for GIS integration. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Scan to BIM in 3D GIS - Taewook Kang URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LKR99R/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-TT8A8R@talks.osgeo.org DTSTART;TZID=KST:20231129T144500 DTEND;TZID=KST:20231129T150500 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - Hybrid GIS Platform by Timur Obukhov - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/TT8A8R/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MFVTEG@talks.osgeo.org DTSTART;TZID=KST:20231129T145000 DTEND;TZID=KST:20231129T151000 DESCRIPTION:Air pollution poses a significant health threat worldwide. As p er a 2022 Lancet report (Pollution and health: a progress update)\, it acc ounts for 1 in 6 premature deaths\, making it the largest environmental ri sk factor for disease and premature mortality. This impact is especially s evere for residents of low and middle income countries. Despite being perv asive\, air pollution is often accepted as an unavoidable reality\, forcin g us to endure its detrimental health effects.\n\nHow can we effectively b ridge this gap and nudge both public and policy makers alike to take actio n on the silent killer that is air pollution? \n\nThe AQLI tool is a free and open source interactive tool that attempts to address this global heal th crisis by estimating the relationship between PM2.5 and Life Expectancy allowing anyone to interactively visualize and explore the average gain i n life expectancy they could experience if their community met the WHO PM2 .5 guideline. AQLI also publishes an Annual Report and various regional fa ctsheets. All of these resources\, alongside our methodology\, can be foun d on our website (https://aqli.epic.uchicago.edu/).\n\nSo far\, the AQLI t ool has been used in 216 countries by over 300\,000 users. This user base includes (but is not limited to) policy makers (e.g. Indian Member of Parl iament\, Vandana Chavan used the AQLI tool to demand a change in the India Air Act\, 1981)\, air pollution activist groups (e.g. the Thailand Clean Air Network using AQLI to push for Clean air law in Thailand)\, environmen t conservation societies\, medical professionals\, geospatial community\, academic researchers\, teachers\, students from both schools and colleges. In 2022 alone\, AQLI has been cited in the New York Times\, The Guardian\ , The Washington Post\, Reuters\, the Times of India (the largest selling English-language daily in the world)\, notices of National Human Rights Co mmision in India and many other outlets globally. \n\n\nThe AQLI geospatia l data processing pipeline combines three free and open source datasets us ing the R programming language. It overlays high-resolution population (la ndscan: https://landscan.ornl.gov/) and pollution rasters (ACAG: https://s ites.wustl.edu/acag/datasets/surface-pm2-5/) onto a rasterized global shap efile (GADM: https://gadm.org/). The resulting data is collapsed to genera te regional datasets for further analysis..\n \nOver the last year in our move towards fully open source\, we have worked on a complete transition o f our current codebase to R\, all of which can be accessed via our organiz ational GitHub page (https://github.com/aqli-epic). It’s easier now more than ever for anyone to explore both AQLI’s underlying geospatial data pipelines and its finished results (e.g. aqverse R package: https://github .com/aqli-epic/aqverse). \n\nWe have witnessed first hand the ability of a publicly available geospatial tool in raising awareness about a major hea lth crisis. In the coming months\, we are planning to add additional layer s\, show higher resolution data among other things and in doing so both co ntribute towards and leverage from the wider foss4G community. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Air Quality Life Index (AQLI): A free and open Source global intera ctive tool that shows the impact of pollution on human life expectancy aro und the world - Aarsh Batra URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MFVTEG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MRUPV9@talks.osgeo.org DTSTART;TZID=KST:20231129T145000 DTEND;TZID=KST:20231129T151000 DESCRIPTION:Of India's 1.4 billion people\, 64.3% live in rural areas. Unde r the Svamitva Scheme (https://svamitva.nic.in/)\, the Govt. of India has set up an ambitious target to map India's 568k villages using drones. Base d on the orthomosaics prepared from the drone surveys\, the government is going to distribute property cards to India's millions of rural residents. Aereo (previously Aarav Unmanned Systems Private Limited https://aus.co.i n/) is playing a pivotal role in implementation of this scheme\, having co mpleted drone surveys for more than 60k villages. The Aereo Cloud platform allows for scalable orthomosaic generation\, QC and digitization using th e open-source PostGIS database and the Cloud Optimised GeoTIFF format. Bui lding Aereo Cloud using open-source technologies such as PostGIS\, COG\, g eodjango and gdal has allowed Aereo Cloud to build scalable\, robust and s ecure solutions for drone-based mapping quickly as per market demand. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Utilising Cloud-Optimised GeoTIFF and PostGIS for mapping India's r ural areas - Abhiroop Bhatnagar URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MRUPV9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-YAZBXR@talks.osgeo.org DTSTART;TZID=KST:20231129T145000 DTEND;TZID=KST:20231129T151000 DESCRIPTION:In community-sourced data platforms like OpenStreetMap (OSM)\, the significance of localizing map data transcends language—it's about f ostering inclusivity\, preserving cultural identity\, and amplifying local voices on a global canvas. This talk explores the pivotal role of map dat a localization\, focusing on the inspiring context of OSM Nepal\, and intr oducing OSMLocalizer as a game-changing solution.\n\nLocalization breathes life into maps\, making them relatable and accessible to diverse communit ies. At the heart of this concept lies OSM Nepal's campaign to localize pl ace names\, which exemplifies the essence of this endeavor. However\, the process posed challenges as there were no dedicated tools specifically des igned for map data localization. Contributors had to rely on existing tool s like MapRoulette\, causing inefficiency as they had to juggle multiple t abs between editing tools\, Project Management\, and translation engines. Here\, OSMLocalizer emerges as the beacon of efficiency and integration.\n \nOSMLocalizer's approach is simple yet revolutionary. With a built-in edi tor\, contributors can seamlessly edit and localize map features within th e same interface\, eliminating the need to switch tabs. Further streamlini ng the process\, OSMLocalizer integrates translation engine APIs\, making translations accessible within the tool. This holistic approach transforms map data localization from a tedious chore to an engaging and intuitive e xperience.\n\nThe context of OSM Nepal accentuates the relevance of such a tool. As contributors passionately pursued localized place names\, OSMLoc alizer bridged the gap between editing\, translation\, and seamless contri butions. This talk will present OSMLocalizer as a catalyst for efficient a nd community-centered map data localization.\n\nIn a world where maps conn ect people and places\, this presentation delves into the heart of map dat a localization and its profound impact. By weaving OSM Nepal's narrative i nto the equation and introducing OSMLocalizer's innovation\, we aim to ins pire a new era of map contributions that resonate deeply with local commun ities worldwide. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Empowering Local Communities: Enhancing OpenStreetMap Localization with OSM Localizer - Aadesh Baral URL:https://talks.osgeo.org/foss4g-asia-2023/talk/YAZBXR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-ZS8QBF@talks.osgeo.org DTSTART;TZID=KST:20231129T145000 DTEND;TZID=KST:20231129T151000 DESCRIPTION:The tropospheric delay is a source error for positioning using the Global Navigation Satellite System (GNSS). The signals of GNSS transmi t the troposphere to the receiver\, which are usually represented by zenit h tropospheric delay (ZTD). ZTD can be estimated by using the Precise Poin t Positioning (PPP) method. Currently\, there several positioning software packages to calculated PPP and estimated ZTD values by using GNSS data. T his study aims to estimate ZTD value using PPP technique and analyze diffe rent results. Bernese\, goGPS\, and Net_Diff GNSS processing software are used to process GNSS data. To analyze the positioning PPP values\, we comp are between N/E/U components of coordinate estimated and referent values. Different ZTD values are investigated by using statistical basic and Pears on correlation analysis. The positioning result show PPP values calculated by Bernese software is very stability with standard deviation about < 1 c m. The Net_Diff packages can estimate PPP coordinate of N/E/U components a re least error values which RMSE are <13 cm\, < 4 cm\, and <9 cm respectiv ely. The different ZTD values from three software packages at DSNI and LSN 2 stations show very high relationship in near perfective value that is (R > 0.90). DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Comparative Analysis of Zenith Tropospheric Delay Estimation using PPP Technique: A Study of Bernese\, goGPS\, and Net_Diff GNSS Processing S oftware - Sarawut Ninsawat\, Rangsan Khamkhon URL:https://talks.osgeo.org/foss4g-asia-2023/talk/ZS8QBF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-7BVB33@talks.osgeo.org DTSTART;TZID=KST:20231129T151000 DTEND;TZID=KST:20231129T153000 DESCRIPTION:The question “How can Mongolia\, which has a huge amount of r enewable energy resources\, develop “green” sources of energy in accor dance with the specifics of its’ climate and energy consumption?” has become a pressing issue in the energy sector. There is an urgent need to t ake comprehensive measures to reduce air pollution in Ulaanbaatar\, where half of the country's population lives and which has a coal-dependent ener gy supply. Within this\, the research to create sustainable and environmen tally friendly renewable energy has become a priority.\nAbout 48 percent o f air pollution in Ulaanbaatar comes from households in ger districts. To reduce this amount\, the need to use solar energy for their heating is req uired\, so it is practical to estimate the potential amount of solar energ y based on digital surface models. \nIn this study\, we used Geographic In formation System (GIS) to calculate the potential amount of solar energy r esources in 6 districts of central Ulaanbaatar using a digital elevation m odel (DEM). The DEM was calculated from a topographic map with a scale of 1: 25000. In addition\, objects such as buildings and trees were added to the Ulaanbaatar city database\, and a numerical surface model was develope d digital surface model (DSM) and used for further processing. The results were compared with the results of previous research. The results of this work are in line with previous estimates from meteorological data surveys. In the latitudes of Ulaanbaatar\, the sunshine lasts 2\,800 hours a year\ , which is relatively longer than in the highlands. The sun shines 145-170 hours in winter\, 276-300 hours in spring for 3-4 months\, 290-300 hours in summer\, and 225-250 hours a month in autumn and summer.\nAccording to the study\, the potential amount of solar energy resources was calculated on a total area of 206\,705 hectares\, and the maximum area that could sto re 1\,200-1\,500 kWh / m 2 of energy per year was 47\,313 hectares. Exclud ing areas where it is not possible to build renewable energy facilities\, such as sanitary restrictions\, forests\, cemeteries\, farmland\, special needs areas\, reservoirs\, waste disposal sites\, and airport protection z ones\, 1100-1500 kWh per year. * 17\,000 ha of potential energy storage ar ea is within the boundaries of the construction restriction. This research is an unprecedented work in our country\, as it calculates the potential amount of solar energy resources using a digital model of the surface. In addition\, it provides an opportunity to use renewable energy for future p lanning and research.\nIn the policy of Mongolian green development main t arget is to reduce greenhouse gas and supporting to new friendly-environme nt energy sources. According to this policy\, renewable energy will reach 30% in 2030 including all energy industries. This research has estimated s olar radiation in Ulaanbaatar city using the Digital Elevation Model (DEM) \, Digital Surface Model (DSM)\, and building height information DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Estimating the Solar Radiation Using a DigitalSurface Model of Ulaa nbaatar - Bilguuntugs URL:https://talks.osgeo.org/foss4g-asia-2023/talk/7BVB33/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-ZY8PE7@talks.osgeo.org DTSTART;TZID=KST:20231129T160000 DTEND;TZID=KST:20231129T162000 DESCRIPTION:Vector tiles are changing the way we create maps. Client-side r endering offers endless possibilities to the cartographer and has introduc ed new map design tools and techniques. Let’s explore an innovative appr oach to modern cartography based on simplicity and a comprehensive vector tiles schema. Take a tour of vector tiles cartography basics and learn abo ut the latest trends through a number of examples illustrated with the Map Tiler maps. Get an overview of best practices and learn about simple open- source recipes\, towards advanced combinations of fills\, patterns\, fonts \, and symbols. Selected layer parameters and style expressions will be di scussed in a visual way and explained with basic syntax that you can take away. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Cartographic design for vector tiles: Best practices and open-sourc e recipes for beautiful maps - Nicolas Bozon\, Petra Duriancikova URL:https://talks.osgeo.org/foss4g-asia-2023/talk/ZY8PE7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LK9RML@talks.osgeo.org DTSTART;TZID=KST:20231129T160000 DTEND;TZID=KST:20231129T162000 DESCRIPTION:**DigiAgriApp** is a client-server application to manage differ ent kinds of data related to farming fields. It is able to store informati on about *crops* (specie\, farming forms/system...)\, any kind of *sensor data* (included sensors and device hardware\, weather\, soils...)\, *irrig ation* information (system type\, openings...)\, *field operations* (pruni ng\, mowing\, treatments...)\, *remote sensing data* (taken from different devices as mobiles\, drone\, satellites)\, *evidences and thesis* in expe rimental field\, and *production quantities*.\n\nThe DigiAgriApp server is composed of a PostgreSQL/PostGIS database and a REST API service to inter face with it. The server is developed using Django and the Django REST fra mework extension with other minor extensions are used to create the REST A PI. This service plays the key interface between the database and the clie nts.\n\nThe **DigiAgriApp server** is composed of a **PostgreSQL/PostGIS d atabase** and a **REST API service** to interface with it. The server is d eveloped using **Django** and the **Django REST** framework extension with other minor extensions are used to create the REST API. This service play s the key interface between the database and the client.\n\nThe **main cli ent** instead is developed using **Flutter**\, an open-source UI software development kit based on dart\, a programming language designed for client development. Flutter is able to create **cross-platform applications** an d it was chosen precisely because of its ability to realize cross platform applications. \n\nA **QGIS plugin** is also developed to manage geographi cal and remote sensing data in a simplified way. It is able to synchronize all the vector data (fields\, subfields\, rows\, plants) from the server to your desktop\, furthermore it is able to upload and download remote sen sing data\, for example upload data got from a drone or download remote se nsing data got from the server it self.\n\nAll the code is released as Fre e and Open Source software with a **GNU General Public License Version 3 l icense**\; it is available in the **DigiAgriApp repository on GitLab**. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:DigiAgriApp: the FOSS app to manage your agricultural field - Luca Delucchi URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LK9RML/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-QBKZUM@talks.osgeo.org DTSTART;TZID=KST:20231129T160000 DTEND;TZID=KST:20231129T161000 DESCRIPTION:UNVT Portable\, powered by RaspberryPi\, offers offline web map access essential during disaster events. Integrating drone imagery\, Open StreetMap\, and open data tiles\, this tool is a game-changer for real-tim e disaster response. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:UNVT Portable: Offline Mapping for Disaster Response - ShogoHirasaw a URL:https://talks.osgeo.org/foss4g-asia-2023/talk/QBKZUM/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-JTNCUU@talks.osgeo.org DTSTART;TZID=KST:20231129T160000 DTEND;TZID=KST:20231129T162000 DESCRIPTION:The Malacca Strait region is a strategically crucial maritime c hokepoint between Asia\, the Middle East\, and Europe\, and North America. This makes it a frequent area of cross-border criminal activity\, illegal trade\, and ship piracy. In recent years\, piracy in the Straits of Malac ca has increased significantly. To address this problem\, it is necessary to strengthen security activities through military-civilian joint operatio ns using geospatial open-source data.\n\nThis study proposes a concept for military-civilian interoperability based on geospatial open-source data t o support defense systems in the Straits of Malacca region. The study uses a literature review of military and civilian interoperability and examine s the use of GEE (Google Earth Engine) for maritime surveillance.\n\nGEE i s a cloud-based platform that provides access to a massive library of sate llite imagery\, weather data\, and other geospatial data. This data can be used to track the movement of ships\, identify potential threats\, and pl an security operations. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Concept design of interoperability of military and civilian-based o n Google Earth Engine (GEE) in the Malacca Strait region - Syachrul Arief URL:https://talks.osgeo.org/foss4g-asia-2023/talk/JTNCUU/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-D3XYHN@talks.osgeo.org DTSTART;TZID=KST:20231129T160000 DTEND;TZID=KST:20231129T162000 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - Open Geo-AI for UN by Maria A. Brovelli - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/D3XYHN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-WDSRJ8@talks.osgeo.org DTSTART;TZID=KST:20231129T161000 DTEND;TZID=KST:20231129T162000 DESCRIPTION:Experience a swift immersion into the heart of Re:Earth\, the g roundbreaking open-source WebGIS platform. This brief session highlights i ts core architecture\, efficient data management\, and seamless visualizat ion capabilities. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Re:Earth Quick Dive: WebGIS Revolution in a Nutshell - ShogoHirasaw a\, Haruka Yasuda URL:https://talks.osgeo.org/foss4g-asia-2023/talk/WDSRJ8/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-JP3UYD@talks.osgeo.org DTSTART;TZID=KST:20231129T162000 DTEND;TZID=KST:20231129T164000 DESCRIPTION:Individual mobility is a crucial indicator of personal health a nd behavior. To assess individual mobility and activity\, mobile sensing u sing global positioning systems (GPS) and surveys on smartphones are incre asingly being employed\, providing high spatial and temporal resolution da ta. This advancement has facilitated in-depth studies into the interaction s between individuals' real-life behaviors\, health\, personal characteris tics\, and environments at a micro spatiotemporal scale. For such studies related to personal health and mobility\, several open-source software pac kages (e.g.\, R/Python libraries) and open trajectory data (e.g.\, GPS dat a) have been developed.\n\nIn this presentation\, we will introduce our R package development project for individual mobility analytics\, focusing o n GPS-based trajectory data processing and analysis at an individual level . The open-source package includes: (1) GPS data preprocessing\, (2) const ruction of semantically enriched trajectory data from GPS data using autom ated methods for home detection\, stop-move detection\, and transport mode detection\, and (3) computation of mobility indicators at two different a ggregation levels (daily vs. by-person). We will also showcase case studie s using open GPS data (such as Geolife) and datasets from other research p rojects. Furthermore\, we will discuss the challenges faced during this pr oject and outline its future directions. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Individual Mobility Analytics with Open Data and Software - Eun-Kye ong Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/JP3UYD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-DFKFGC@talks.osgeo.org DTSTART;TZID=KST:20231129T162000 DTEND;TZID=KST:20231129T164000 DESCRIPTION:The growing availability of free geospatial data and satellite imagery has unlocked numerous opportunities for applying geospatial inform ation in climate resilience\, disaster risk reduction\, and environmental monitoring. The United Nations Satellite Centre (UNOSAT)\, which is part o f the United Nations Institute for Training and Research (UNITAR)\, utilis es these satellite imagery and geospatial data to enhance the capabilities of Member States in evidence-based decision-making for peace\, security\, and resilience building. UNOSAT\, under its partnership with the Norwegia n Development Agency (NORAD)\, is currently strengthening the capacities o f eight partner countries: Bangladesh\, Bhutan\, Fiji\, Lao PDR\, Nigeria\ , Solomon Islands\, Uganda\, and Vanuatu by providing geospatial solutions for improved decision-making in the fields of Disaster Risk\, Climate Res ilience\, Environmental Preservation\, and Food Security. The different op en-source tools\, algorithms\, and web solutions play key roles in the imp lementation of the capacity development interventions of the project. In t his project\, UNOSAT has been delivering technical trainings in the use of open-source software such as QGIS\, OpenDroneMap\, and CloudCompare for p rocessing different types of spatial data\, including drone imagery and Li DAR datasets. In the application of knowledge gained through training\, UN OSAT frequently receives technical support requests from various key stake holders in each country. To address these requests\, the project team prio ritises the use of open-source tools and methodologies. This approach aims not only to deliver products but also to facilitate knowledge transfer to ensure the sustainability of technical capacities. In addition\, web sol utions have been developed using GeoNode\, Terria\, and WebODM to further support the need for services using geospatial technology. Co-creation is at the core of developing these solutions so that partner countries will h ave the ability to autonomously maintain and operate these solutions beyon d the project lifetime. By using open-source software\, this project allow ed UNOSAT to help countries find ways to work together more effectively de spite their limited resources. This approach of prioritising open-source solutions for capacity development has been contributing to transformatio nal change in the partner countries by improving climate resilience throug h effective and efficient disaster preparedness and response and supportin g evidence-based decision-making for a more systematic climate change adap tation response by the government and the local communities. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Using Open-Source Geospatial Tools for Building Climate Resilience in Least Developed Countries (LDCs) in Asia-Pacific and Africa - Sheryl R ose Reyes\, Wittawat Bunnasarn\, Khaled Mashfiq URL:https://talks.osgeo.org/foss4g-asia-2023/talk/DFKFGC/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-NWV9PA@talks.osgeo.org DTSTART;TZID=KST:20231129T162000 DTEND;TZID=KST:20231129T164000 DESCRIPTION:Currently\, map application development has been undergoing con tinuous transformation due to advancements in technology and evolving user needs. This evolution has led to a diverse range of functionalities and a n increased variety of visual representations. Furthermore\, modern techno logy like Augmented Reality (AR) and Virtual Reality (VR) have been harnes sed to enhance user experiences. Moreover\, present-day map applications a re tailored to function across a broad spectrum of devices\, including Des ktops\, Mobiles devices\, Tablets\, Watches etc. So the display on the scr een must be designed to be suitable for use in each device as well.\n\nDes igning User Experience (UX) and User Interface (UI) in map application is a crucial aspect that impacts the user's interaction. This makes map data available and complicated to be displayed in a simple\, clear\, efficient and respond to user needs. Get along with the times and changes in technol ogy. Map Interface design is a map display design. Consists of various imp ortant elements\, including Layout\, Basemap\, Symbology Icon\, Legend\, M ap detail display\, Search box\, Map view\, Map display changes\, connecti on to other applications etc. Apart from ensuring user-friendly map displa y\, aesthetics are also essential\, creating a map-related work that is mo dern and aligned with the current trends.\n\nCurrently\, the development o f Map Applications in Thailand emphasizes the significance of designing Us er Experience (UX) and User Interface (UI). In the past\, certain organiza tions used to create maps solely focusing on functionality. However\, when the principles of UX/UI are adapted and applied to map-related tasks\, it leads to improved presentation on platforms or map applications. This inc ludes enhanced interaction with users\, aesthetics\, and contemporary desi gn that caters to a diverse range of devices. For instance\, various proje cts undertaken by the Geo-Informatics and Space Technology Development Age ncy (Public Organization) – GISTDA in Thailand\, such as the Disaster Ma nagement Platform\, Satellite\, Spatial Data Service\, Agriculture Platfor m\, and Digital Data Service Platform\, embrace these principles. As a res ult\, UX/UI Designers have begun developing Design Guidance as a framework for crafting user-friendly\, efficient\, and user-responsive map applicat ions. These efforts aim to create exceptional user experiences and aesthet ics in accordance with the ever-evolving of the maps and technology trends .\n\nIn session\, we will present a Map Interface that applies the princip les of User Experience (UX) and User Interface (UI). This interface will b e standardized and visually appealing\, suitable for the modern mapping\, so that developers can use it as a guide to create Map Applications. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Designing maps interface and crafting elements in modern map applic ations - Suttikarn Toungtee\, Jirayut Naksin\, Sasitorn Chookainoo URL:https://talks.osgeo.org/foss4g-asia-2023/talk/NWV9PA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-ANNWAU@talks.osgeo.org DTSTART;TZID=KST:20231129T162000 DTEND;TZID=KST:20231129T163000 DESCRIPTION:GeoTools is the “Java Geospatial Toolkit” responsible for p owering a wide range of applications\, tools and utilities!\n\nA quick upd ate from the Project Team on this popular Open Source Geospatial Foundatio n project. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:State of GeoTools - Jody Garnett URL:https://talks.osgeo.org/foss4g-asia-2023/talk/ANNWAU/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LKGG8E@talks.osgeo.org DTSTART;TZID=KST:20231129T162000 DTEND;TZID=KST:20231129T164000 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - OpenDroneMap and 3D for UN by Stephan Mather - FOSS4G-Asia 2 023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LKGG8E/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-KRBZV9@talks.osgeo.org DTSTART;TZID=KST:20231129T163000 DTEND;TZID=KST:20231129T164000 DESCRIPTION:The LH Urban Digital Twin Platform is a comprehensive solution for new town planning and development that utilizes open source digital tw in technology. The platform combines real-world data with spatial informat ion context to offer a three-dimensional sharing/collaboration integration support system. \n\nDevelopers will appreciate the platform's flexibility and scalability\, which are based on a microservice architecture that con nects multiple modules independently and loosely. The platform utilizes op en standards WMS\, WFS\, WCS\, WPS OGC Web Service standard features throu gh GeoServer and GeoWebCache\, a tile cache server that accelerates map de livery built into GeoServer. Additionally\, the platform supports visualiz ation of data in various formats using mago3D\, F4DConverter\, and Smart T iling. \n\nThe platform offers a range of services\, including automatic a partment building placement\, construction site safety management\, 3D urb an landscape simulation\, environmental planning simulation\, and undergro und facility visualization simulation. The platform also features real-tim e monitoring and visualization of IoT-based data\, which is of particular interest to developers interested in smart city development. \n\nFirstly\, the presentation will show how open source based digital twin visualize t he complex 3D city models in a web browser. Secondly it will showcase the platform's features and data\, including actual system's functions and ser vice UI/UX through a video. Attendees will gain insights into how the plat form can be used to support rational decision making during complex urban planning\, design\, development\, and operation stages. \n\nThis presentat ion is of interest to developers working in the field of urban planning\, design\, and development\, as well as those interested in open source digi tal twin technology. \n\n(FYI) LH Corp is one of the largest public compan ies in Korea providing land and housing for public purpose. They are owned and controlled by the Korean government. They’ve played a large role in new town development and housing welfare. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Open Source Basded 3D City Model Visualization - A LH Urban Digital Twin Case - Cheun-gill Park\, Hansang Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/KRBZV9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GTFGBL@talks.osgeo.org DTSTART;TZID=KST:20231129T164000 DTEND;TZID=KST:20231129T170000 DESCRIPTION:This Talk is about a novel method for visualizing geospatial da ta using integrated charts using OpenLayers\, an open-source mapping libra ry. The integration of various chart formats in maps allows users to inter actively explore complex data sets\, and gain insights into spatial modeli ng and development Usage Popular chart libraries such as D3.js\, Recharts\ , and OpenLayers integrate seamlessly\, enabling dynamic modification of c hart parameters and spatial details Analyzed data from different sources t o reveal hidden relationships Statistics. The integrated system provides a powerful tool for practitioners and researchers to make informed decision s based on a comprehensive view. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Frontend and Visualization With Geospatial Data - Deepak Pradhan URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GTFGBL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-P8RFSZ@talks.osgeo.org DTSTART;TZID=KST:20231129T164000 DTEND;TZID=KST:20231129T170000 DESCRIPTION:Nowadays\, the demand for services that facilitate precise and dynamic location finding has increased exponentially. To meet this need Th us came the idea of ​​developing efficient Place APIs. This session fo cuses on the conceptual design and development of Place APIs using OpenSea rch\, a powerful and versatile search engine technology. Its purpose is to develop an efficient API. To facilitate access to location information\, locations or other interesting information. as required by developers\n\nT his session will begin by introducing the concept of the Place API and its importance in modern applications. It focuses on the core features and fu nctionality that these APIs should have. including collecting geolocation data search by keyword\, filtering and sorting the results. OpenSearch\, k nown for its flexibility and scalability\, is then introduced as a suitabl e framework for implementing Place APIs due to its ability to handle large datasets and support a wide range of search operations.\n\nThe implementa tion section demonstrates a step-by-step process for creating Place APIs u sing OpenSearch. Code snippets and examples illustrate how to set up the n ecessary infrastructure\, index location-based data\, and implement variou s search functionalities.\n\nEvaluating active Place APIs focuses on perfo rmance such as response time\, query volume\, and performance. and the abi lity to scale Real world scenarios are simulated to illustrate the API's a bility to handle concurrent requests and evolving datasets. Comparison ana lytics with existing location-based APIs Demonstrates the strengths of the OpenSearch-based approach in terms of speed\, flexibility\, and cost-effe ctiveness.\n\nIn conclusion\, the session underscores the significance of well-designed and implemented Place APIs in enriching location-aware appli cations. It emphasizes the power of OpenSearch as a versatile platform for creating such APIs\, offering developers the tools needed to create robus t\, dynamic\, and accurate location-based services. By following the guide lines and insights provided in this session\, developers can contribute to the advancement of location-based technologies and meet the increasing de mand for innovative digital experiences. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Design and Implementation of Location-Based Place APIs using OpenSe arch - Athitaya Phankhan URL:https://talks.osgeo.org/foss4g-asia-2023/talk/P8RFSZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MMPKBV@talks.osgeo.org DTSTART;TZID=KST:20231129T164000 DTEND;TZID=KST:20231129T170000 DESCRIPTION:Open-source resources are vital in promoting collaboration\, in novation\, and accessibility in the digital age\, making them an essential component of modern society. These resources empower individuals and orga nizations to work together\, share knowledge and ideas\, and ultimately cr eate new and innovative solutions that benefit everyone. Development and u se of open-source resources have diversified into all research and develop mental domains\, among which utility management has also become essential. Unlike commercial-grade resources\, open-source resources are free\, cust omizable\, and subject to the larger community of developers for fixing vu lnerabilities. This has emphasized the need to utilize technology and free ly available resources to create structured and effective systems for mana ging utilities. Utilities such as electricity\, water\, sewer\, drainage\, and infrastructures like cable lines\, supply pipelines\, roads\, and oth ers have become integral to modern life. Adopting innovative strategies th at cater to the community's changing needs is crucial to keep up with the constantly evolving urban landscape. This research delves into the case st udy of utility management system for Kathmandu University\, demonstrating the potency of web-enabled utility management systems using open-source re sources. We developed a Django-based backend\, PostgreSQL backed database and employed HTML\, CSS\, JavaScript\, and jQuery for the front end of the utility system. Data for the case study were prepared using UAV imageries and open-source tools like QGIS. Its interactive web map facilitates user engagement\, issue reporting\, and complaint logging\, enabling timely re sponses and sustainable resource allocation. Our study showcases the open- source web-enabled utility management prototype that can be further extend ed for use in larger communities and industries for improved and managed u rban living\, prompt resource distribution\, and monitoring. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:An open source web-enabled utility management system - A case study of utility system developed for Kathmandu University\, Nepal. - Sandesh S harma Dulal\, Raj Bhattarai\, Sudip Pandey URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MMPKBV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-9HDAEL@talks.osgeo.org DTSTART;TZID=KST:20231129T164000 DTEND;TZID=KST:20231129T165000 DESCRIPTION:In the majority of cases\, I find that deep learning of point c loud data\, e.g.\, in the case of classification\, learning with datasets available on the Internet is not accurate enough when trying to solve our specific practical problems. We are then forced to manually label the poin t cloud\, which can be time consuming and difficult to achieve accuracy in detail when processing on a 2D display\, as point cloud data is generally not highly visible.\nTherefore\, I am trying to speed up the labeling of point clouds using VR. I would like to share my idea with you this time. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Accelerate labeling of original point cloud data for deep learning in VR with Unreal Engine. - TAISEI NAKAMURA URL:https://talks.osgeo.org/foss4g-asia-2023/talk/9HDAEL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-SFGJRM@talks.osgeo.org DTSTART;TZID=KST:20231129T164000 DTEND;TZID=KST:20231129T170000 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - UN Smart Maps by Hidenori Fujimura - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/SFGJRM/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-WFDPAG@talks.osgeo.org DTSTART;TZID=KST:20231129T165000 DTEND;TZID=KST:20231129T170000 DESCRIPTION:As the maritime traffic increases\, maritime accidents are on t he rise. Drones are being used to detect distressed vessels quickly in the open ocean. The current system does not have a plan to operate drones acc ording to the search target\, which means it is inefficiently operated and the search time is delayed\, reducing the chance of survival. The operati on plan should be developed based on tests in various environments and con ditions. However\, real-world implementations of distress situations have limitations. In the real world\, implementing human distress in the ocean is limited by safety issues.\nIn order to find the optimal way to operate the drone for marine search and rescue\, this study aims to construct a si mulation environment with various environments and conditions.\nTo realize the simulation environment\, Unity Engine was used. The environmental asp ects of the simulation include the sea (sea colour\, wave height)\, object s (vessels\, people\, etc.)\, and the environment (day\, night\, sunny\, r ain\, snow\, fog\, etc.). In terms of functionality\, camera angles can be set\, and adding a drone function allows the drone to move and shoot. In this paper\, the environment factor was fixed to daytime clear weather\, a nd the focus was on the object to be searched. The simulation was develope d with five types of distress vessels (2-tonne fishing vessel\, 5-tonne fi shing vessel\, cargo vessel\, passenger vessel\, and motorboat) and six ty pes of distressed persons (baby\, adult\, and with or without life jackets ). The distress vessels can be set to sink\, capsize\, or drift\, and the distress persons are drifting on the surface of the water. The altitude of the drone was limited to a maximum of 150m to comply with Korean law\, an d the camera angle could be set to (-30︒\, -45︒\, -60︒\, -90︒). To reflect real-world coordinates\, Cesium was integrated into Unity to simu late a marine environment. To do this\, Cesium's coordinate system was ada pted to be compatible with Unity's coordinate system\, and the positions o f the distressed person and the marine police in the distress scenario wer e expressed in terms of actual Earth longitude\, latitude\, and height. Th is maintains the scale and realism of the simulation environment.\nIt is e xpected that future simulation results will be used to develop a drone ope ration plan to effectively search for various distress ships and distresse d person to minimize human casualties. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Developing simulation technology to plan drone operations customize d for maritime search and rescue - Jeonghyo Oh\, Lee Juhee URL:https://talks.osgeo.org/foss4g-asia-2023/talk/WFDPAG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-JNEYZ9@talks.osgeo.org DTSTART;TZID=KST:20231129T170000 DTEND;TZID=KST:20231129T171000 DESCRIPTION:It is often difficult to expand the use of FOSS4G softwares and business solutions due to lack of promotional materials and introductory resources. This talk introduces ways to expand the use of FOSS4G softwares through experiences with providing scheduled systematic QGIS workshops an d publishing of introductory videos on the use of FOSS4G solutions. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Expanding the use of FOSS4G through QGIS workshops - Yuen Pakhin URL:https://talks.osgeo.org/foss4g-asia-2023/talk/JNEYZ9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-U3RFJK@talks.osgeo.org DTSTART;TZID=KST:20231129T170000 DTEND;TZID=KST:20231129T172000 DESCRIPTION:A talk for UN Open GIS Joint Workshop DTSTAMP:20261015T054800Z LOCATION:Baseurak Hall SUMMARY:[UN] - What Next for UN Open GIS Initiative? by Ki-Joune Li - FOSS4 G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/U3RFJK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-8X9BA3@talks.osgeo.org DTSTART;TZID=KST:20231129T170000 DTEND;TZID=KST:20231129T172000 DESCRIPTION:**GisHosting2** is the revamped version of the *cloud GIS solut ion based on QGIS created by the* **GTER company**. Users only need to set up the correct folder where to save their QGIS and Lizmap data and projec ts to immediately have their work published on the web on a Lizmap-based c lient.\nOne of the most important innovation brought in the new version is the introduction of a docker infrastructure. This new version is complete ly container-based\, which allows for almost immediate activation of new i nstances as well as easier management and updating by system administrator s. In addition\, an administration system has been developed to automate a nd simplify user management (creation\, change of plan\, disabling\, etc.) and to provide certain user information.\n\nDuring the presentation\, an overview will be given of the software that makes up the infrastructure an d how they communicate with each other. It will also show how to try out t he cloud service using a trial version and how to register in case you are interested in using the service.\n\nLast but not least\, we will show you some use cases of our clients who have been using the product for several years. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:GisHosting2: the new era for your GIS cloud solution - Luca Delucch i\, SarinoAlfonso Grande\, Manuele Pesenti URL:https://talks.osgeo.org/foss4g-asia-2023/talk/8X9BA3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-8KDVRF@talks.osgeo.org DTSTART;TZID=KST:20231129T170000 DTEND;TZID=KST:20231129T172000 DESCRIPTION:PyQGIS: the Python environment within QGIS that empowers your g eospatial journey. Let's explore how it streamlines workflows and enhances QGIS with Python libraries. With PyQGIS\, you can automate things. How? B y writing simple Python scripts. No more manual clicking – PyQGIS script s can do the heavy lifting for you. This means more time for creativity an d exploration. Even if you're not a coding expert\, no problem. I will wal k you through the basics\, so you can use Python in QGIS without any stres s. You'll learn how to make your own solutions and automate tasks\, all wi th the magic of PyQGIS.\n\nThis talk is relevant to anyone interested in a utomating multiple processes using QGIS. Attendees will come away with a d eeper understanding of the basics to advance the level of PyQGIS and how t o use it for their own individual projects. Discover how PyQGIS transforms your workflow\, turning repetitive tasks into automated processes. DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:PyQGIS Unveiled: Elevating Your Geospatial Workflow with QGIS and P ython - Dimple Jain URL:https://talks.osgeo.org/foss4g-asia-2023/talk/8KDVRF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-UJDAS7@talks.osgeo.org DTSTART;TZID=KST:20231129T170000 DTEND;TZID=KST:20231129T172000 DESCRIPTION:Environmental problems have been exacerbated\, including the is sue of plastic waste. Regarding practicability\, the plastic waste issue c an be tackled with collaborative acts and participation from all to exhibi t strategic solutions. Mapping of plastic waste is one of the strategic so lutions where effective management and monitoring can be adhered. This stu dy analysed the inclusivity of open-source spatial data processing for pla stic waste management governance. We addressed the three main components o f the monitoring process of plastic waste\, such as crowdsourced data\, re plicability of the GIS methodology\, and geocoding in translating informat ion into spatial analysis. The overall analysis is incorporated in the mod el builder to enhance the practicability and enable the flow data manipula tion to integrate with the other data analysis result. The main analysis i ncluded data extraction\, proximity analysis\, and spatial join analysis. The result has been showcased in the interactive hotspot maps and addresse d the vulnerable exposure to plastic waste leakage. The obtained results a re practicable for translating the report and regulation in managerial bas ed into the spatial context\, which potentially complements the national a ction plans in plastic waste management. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Extending the Utility in Open-source Data Processing for Plastic Wa ste Management Governance: Potential and Practices - Aprilia Nidia Rinasti URL:https://talks.osgeo.org/foss4g-asia-2023/talk/UJDAS7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-BR93CX@talks.osgeo.org DTSTART;TZID=KST:20231129T172000 DTEND;TZID=KST:20231129T174000 DESCRIPTION:The identification of critical infrastructure facilities is cri tical for climate and disaster risk assessments that forms part of a resil ient land use plan. This study utilized the application of a geo-analytics platform using free and open source software for geospatial analysis\, na mely Quantum GIS (QGIS) in generating multi-hazard exposure maps of critic al infrastructure facilities in Taguig City\, Philippines. The study was c onducted as a necessity for planners looking for an alternative viable sol ution for resilient land use planning using non-proprietary Geographic Inf ormation Systems (GIS).\n The study developed a workflow for geospatial an alysis with direct application in hazard exposure mapping for floods\, act ive fault lines\, and waterway easements. A review of open data portals wa s first performed which discussed the limitations and opportunities of exi sting official data repositories. A supplementary online survey was likewi se conducted with local planners to understand their knowledge\, skills\, attitudes\, and perceptions to GIS and its application to disaster risk as sessment. The survey responses from local planning and development offices showed that they are open to improving institutional capacity and profess ional capabilities in GIS\, particularly in QGIS. A comparative review of different spatial decision support systems for climate and disaster risk a ssessment was also carried out that revealed important ways forward in fur ther developing open tools for disaster risk assessment. The case study wa s able to identify the multi-hazards exposure profile of Taguig City using open data while using the free and open-source software QGIS. The data us ed were accessed from online data portals that have free public access\, a nd data formats useful for independent study. \nThe online survey also pro vided invaluable insights into the knowledge\, skills\, awareness\, percep tions\, and preferences of the respondents with regards to GIS-related top ics. The results of the survey showed that there is a need for GIS trainin g programs and in particular an expressed openness to learning QGIS. Also\ , the review of existing spatial decision support systems available in onl ine and standalone platforms showcase the limitations and opportunities of adapting graphical models to automate the process of disaster risk assess ments.\n The study was able to demonstrate a viable alternative geo-analyt ics platform using free and open-source software for geographic informatio n systems and open data. Results of the comparative review of existing dat a portals and spatial decision support systems helped in the development o f the proposed open resilience framework. Said framework was able to produ ce the required exposure maps of critical infrastructure in Taguig City. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Open Resilience: Application of a Geo-Analytics Platform using Free and Open Source Software towards Resilient Land Use Planning - Francis Jo sef Gasgonia URL:https://talks.osgeo.org/foss4g-asia-2023/talk/BR93CX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-UWN8XZ@talks.osgeo.org DTSTART;TZID=KST:20231129T172000 DTEND;TZID=KST:20231129T174000 DESCRIPTION:In recent years\, it has become fashionable in Japan to take a historical walk based on old maps. For map lovers (like us!)\, old maps ar e a lot of fun!\n\nHowever\, for the general public\, cartographic decorat ion of old maps is somewhat difficult.\n\nTherefore\, I created an easy-to -understand historical map of the 19th century (Edo period) by applying a modern style design.\n\nI have created line strings and POIs for roads\, r ivers\, post towns\, temples\, shrines\, etc. using old maps and various d ocuments. I created and applied modern style designs in QGIS and published them as WebGIS.\nhttps://rekichizu.jp/map DTSTAMP:20261015T054800Z LOCATION:Taepyeong Hall SUMMARY:Modern-style Historical Map Design with QGIS - Hajime Kato URL:https://talks.osgeo.org/foss4g-asia-2023/talk/UWN8XZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-AUWSRL@talks.osgeo.org DTSTART;TZID=KST:20231129T172000 DTEND;TZID=KST:20231129T174000 DESCRIPTION:In this paper\, we explore innovative and practical ways of equ ipping youth and young academic experts with skills related to effective d ata collection\, curation\, sharing\, and visualization. We present a case study of Resilience Academy\, a successful initiative implemented in Tanz ania\, to highlight the creative approaches used to teach these skills. Re silience Academy conducted a series of training sessions that employed com munity-led data collection\, data visualization\, and participatory mappin g to engage youth and provide them with hands-on experience in the use of geospatial data. The initiative not only equipped the youth with practical skills but also empowered them as change agents who could address local c hallenges. This case study underscores the importance of providing creativ e and participatory approaches to teaching and learning geospatial skills to empower youth. DTSTAMP:20261015T054800Z LOCATION:Online Talks SUMMARY:Using open-source technologies and creative approaches to equip you th and young academic experts with geospatial data skills - Msilikale Msil anga URL:https://talks.osgeo.org/foss4g-asia-2023/talk/AUWSRL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-N8MNTL@talks.osgeo.org DTSTART;TZID=KST:20231130T100000 DTEND;TZID=KST:20231130T120000 DESCRIPTION:2023 conference of KSGIS Opening DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:2023 conference of KSGIS Opening - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/N8MNTL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-VP7TC3@talks.osgeo.org DTSTART;TZID=KST:20231130T100000 DTEND;TZID=KST:20231130T101000 DESCRIPTION:I will introduce the activity of wheelchair mapping. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:About Wheelchair mapping - Tomoki Fukamizu URL:https://talks.osgeo.org/foss4g-asia-2023/talk/VP7TC3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-JCTHWK@talks.osgeo.org DTSTART;TZID=KST:20231130T100000 DTEND;TZID=KST:20231130T130000 DESCRIPTION:OpenStreetMap & OSGeo community will gather together to have a fun mapping party! DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:OSM & OSGeo Mapping Party - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/JCTHWK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-CXT83K@talks.osgeo.org DTSTART;TZID=KST:20231130T100000 DTEND;TZID=KST:20231130T102000 DESCRIPTION:OpenLayers makes it easy to put a dynamic map in any web page. In this talk we'll discover how Openlayers works\, what is the methodology behind adding new data to it. We'll understand how to spin up new openlay ers map under 5 minutes using React. \n\nOpenlayers allows us to put data on map\, interact with it depending upon whether you use it on computer or mobile\, export data with map\, etc. We'll explore examples few examples from https://openlayers.org/en/latest/examples/ .\n\nApart from this we'll also take a look at https://viglino.github.io/ol-ext/ this is extension t o the openlayers using which we can add more types of interactions\, visua lisations\, controls\, etc. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Openlayers above and beyond - krishna lodha URL:https://talks.osgeo.org/foss4g-asia-2023/talk/CXT83K/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-9N7R89@talks.osgeo.org DTSTART;TZID=KST:20231130T100000 DTEND;TZID=KST:20231130T102000 DESCRIPTION:Seoul's subway route map is complex and it is not easy to intui tively understand it. In this presentation\, we introduce a web applicatio n that allows you to check the real-time movement of the Seoul subway on a 3D map through a web browser by utilizing subway route\, station\, and ti metable data.\n\n \n\nThe data used is based on public data provided by th e ‘Korea Transport Database’ and the ‘Seoul Open Data Plaza’ API s ervice\, and has been appropriately processed to optimize the system. The subway timetable data changes frequently\, so we built a data pipeline to reflect it in real time\, so that even if the data changes\, it can be qui ckly applied to the system to provide the latest information.\n\n \n\nVari ous open sources such as GeoTools\, CesiumJS\, and turf.js were used to cr eate the application\, and the real-time movement of the subway was expres sed in various colors and icons on the 3D map. Click on a particular subwa y to see the change in travel time and the train's travel information.If y ou click on a specific subway\, you can check the change in. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:Visualizing Seoul’s subway traffic and data in a 3D city model. - Hanjin Lee\, MinJeong KIM URL:https://talks.osgeo.org/foss4g-asia-2023/talk/9N7R89/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-HZYJJ9@talks.osgeo.org DTSTART;TZID=KST:20231130T101000 DTEND;TZID=KST:20231130T102000 DESCRIPTION:To improve the safety of autonomous driving\, ample data is req uired. However\, obtaining driving data takes considerable manpower\, and driving an autonomous vehicle is dangerous. Recently\, vehicle driving sim ulations have been efficiently researched in the field of autonomous drivi ng as a solution to this problem. However\, these simulations are difficul t to obtain for public users\, and users must pay expensive license fees. Moreover\, existing vehicle driving simulations can only be used in a limi ted environment because users have limited modification rights. Therefore\ , we want to develop a simulator with better accessibility than paid simul ators and establish a simulation each user can acquire data in the customi zed environment. It will include the core functions of commercial simulato rs\, such as setting the vehicle's route\, creating a realistic environmen t\, and acquiring the vehicle's sensor data. This simulator\, implemented as a "toolchain\," incorporates open-source platforms.\nIn this study\, we will integrate the open-source platforms 'Vehicle Route Planning Simulati on Platform'\, '3D Vehicle Driving Simulation Platform'\, and '3D Road Mod eling Tool'. The 'Vehicle Route Planning Simulation Platform' is specializ ed in planning the route of a vehicle\, the '3D Vehicle Driving Simulation Platform' is developed to support autonomous driving systems so it is eas y to obtain vehicle sensor data\, and the '3D Road Modeling Tool' helps to build a realistic environment. Therefore\, we adopted these platforms. Ve hicle driving simulation have essential elements.\nWe need a Vector Map th e vehicle references to drive and a 3D model to visualize it. Based on the vector map\, the scenario of the vehicle is determined and the environmen t similar to the real world is created with the 3D model. To implement the actual vector map\, we first download the road network in OSM format from Openstreetmap. And the road network is converted to a road network used b y the 'Vehicle Route Planning Simulation Platform'(network). The network g enerates vehicle scenario(route) and 3D road data with road shape and prop erties through the 'Vehicle Route Planning Simulation Platform'. The 3D ro ad data has a real-world environment by creating buildings and structures\ , vegetation\, and the slope of the road using the 3D Road Modeling Tool. Import the previously created network file\, route file\, and 3D road data into the '3D Vehicle Driving Simulation Platform'\, and you can see the v ehicles driving on a set route in the 3D simulator. Additionally\, We defi ne Camera\, LiDAR\, and GNSS sensors and assign the location and propertie s of the sensors. And we can obtain customized data. Using the method desc ribed above\, we implemented a simulator based on the environment near the main gate of Seoul National University and obtain a camera\, LiDAR\, and GNSS data from 1000 vehicles at a time. The vehicle driving simulator crea tes a virtual mirror world of the real road. Moreover\, simulators with op en source can interact with various developers and improve rapidly\, which is an opportunity to expand the simulator market. Furthermore\, this rese arch is expected to help develop algorithms to improve the location inform ation of vehicles. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Development of a real-world based 3D driving simulator with open-so urce software and data - Impyeong Lee\, LeeChong URL:https://talks.osgeo.org/foss4g-asia-2023/talk/HZYJJ9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-V8JZSY@talks.osgeo.org DTSTART;TZID=KST:20231130T102000 DTEND;TZID=KST:20231130T104000 DESCRIPTION:The Los Angeles County Metropolitan Transit Authority (Metro) i s creating an API based on open technologies and would like to share our l earnings and how to replicate our work flow. We will discuss the current t echnology stack\, (FastAPI\, Python\, docker\, Github Actions\, and postgr esql). The only closed source portion is the usage of AWS Lightsail to dep loy our docker image. The key takeaways from this talk will be the followi ng: 1) what was done with open source tools 2) how to replicate the techno logy stack 3) lessons learned/how to improve for the future. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Making A Realtime Interoperable Open-data Stack for Transit - Alber t Kochaphum\, Nina Kin URL:https://talks.osgeo.org/foss4g-asia-2023/talk/V8JZSY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-HEVJTR@talks.osgeo.org DTSTART;TZID=KST:20231130T102000 DTEND;TZID=KST:20231130T103000 DESCRIPTION:In this presentation\, I will talk about data visualization usi ng the web library "deck.gl" to display vector data\, 3D data\, and more.\ n\nI will introduce some points and tips that you should keep in mind whil e using examples.\n\nI will also discuss ways to further enhance the visua l representation of data using deck.gl. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Introduction to Data Visualization with deck.gl - Norihiro Narayama URL:https://talks.osgeo.org/foss4g-asia-2023/talk/HEVJTR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-DD8NLJ@talks.osgeo.org DTSTART;TZID=KST:20231130T102000 DTEND;TZID=KST:20231130T104000 DESCRIPTION:In 2022\, global autism rates increased\, affecting 1 in 100 ch ildren[1]. In the Philippines\, the prevalence rate is 1 in 122[2]\, total ing almost 350\,000 affected Filipino children. \nChildren with Autism req uire 10 to 40 hours of therapy per week[3]\, encompassing various sessions like speech-language\, occupational\, and physical therapy\, to foster cr ucial social and learning skills for integration. However\, obtaining thes e interventions proves challenging due to high demand\, uneven spatial dis tribution of resources\, and a lack of centralized credible information so urce. Given these\, tracking a child's milestones and progress often takes a back seat.\nEmpowering families in their search for suitable therapy or special education places is essential. Location emerges as a key factor a fter service availability\, warranting an updated\, comprehensive\, and cr edible map.\nAusome Maps\, a She Leads and She Inspires grant project fund ed by the Humanitarian OpenStreetMap Team via the Open Mapping Hub Asia-Pa cific. It aims to map schools with special education classes\, therapy cli nics\, and institutions aiding differently abled Filipinos on OpenStreetMa p. Initially\, out of over 5000 identified school points of interest (POIs )\, only 12 were tagged as 'special needs'\, with fewer than 10 POIs tagge d as places for therapy. \nAusome Maps conducted events to raise autism aw areness\, elucidate map importance\, teach about open data and mapping on OpenStreetMap\, and offer hands-on training on data gathering\, engineerin g\, and other related activities. To date\, over 500 students\, profession als\, and families have been part of Ausome Maps’ journey through these sessions.\nAusome Maps has completed the tag updating of schools with spec ial education classes with existing feature in OpenStreetMap. Remaining sc hools to be tagged – 40%\, predominantly private schools\, will be on Op enStreetMap following further data completion and integrity check. For the places of therapy\, Ausome Maps have successfully completed and validated 70% of the national datasets provided by the Philippine Association of Sp eech Pathologists and Philippine Academy of Occupational Therapists. \nUsi ng Map Roulette\, Ausome Maps was able to conduct beginner friendly mapath ons. Kobo Toolbox allowed us to reach out to our community and solicit sup port in gathering primary-sourced information or data validation about eit her the schools or therapy centers.\nMoving forward\, Ausome Maps continue s to create a replicable activities framework that will enable for the sam e impact to be recreated in other regions. A part of the project’s bid f or continued impact\, a platform called TherapEase is under development. \ nTherapEase will incentivize users – families and intervention providers – to ensure data about schools and therapy centers on the platform is u p to date. Data which in turn will be used to update corresponding mapped feature on OpenStreetmap. Currently\, TherapEase is one of the 35 projects undergoing investment-readiness development through the U.S.-ASEAN Scienc e\, Technology\, and Innovation Cooperation Program startup incubator.\nAu some Maps remains dedicated to its mission\, aiming to bring about positiv e changes in various regions and communities\, fostering a more inclusive and supportive environment for individuals with Autism Spectrum Disorder. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:Ausome Maps: Empowering Filipino Families by Mapping the Spectrum o f Autism Resources in the Philippines using OpenStreetMap and Open-Source Tools - Charmyne Mamador\, Luis Caezar Ian Panganiban URL:https://talks.osgeo.org/foss4g-asia-2023/talk/DD8NLJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-VWBQM3@talks.osgeo.org DTSTART;TZID=KST:20231130T103000 DTEND;TZID=KST:20231130T104000 DESCRIPTION:For Someone who unfamiliar with multidimensional spatio-tempora l data like netcdf or grib\, I'd like to share how to convert them to poin ts or grid polygons using Python's xarray and geopandas packages DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:How to convert netcdf data to points or grid polygons - Tong-Hoon\, Lee (Gaia3D. Inc) URL:https://talks.osgeo.org/foss4g-asia-2023/talk/VWBQM3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-VXWM8Z@talks.osgeo.org DTSTART;TZID=KST:20231130T104000 DTEND;TZID=KST:20231130T110000 DESCRIPTION:In recent years\, 3D city models have been instrumental in adva ncing urban planning\, stimulating citizen engagement\, and fostering rese arch. With advancements in technology and infrastructure\, a growing numbe r of cities and nations have come to rely on 3D models to tackle urban cha llenges\, bolster public participation\, and steer informed decision-makin g processes.\n\nThe Japanese government\, notably through the Ministry of Land\, Infrastructure\, Transport and Tourism's Project PLATEAU\, has been an advocate for open 3D city models and 3D point cloud data. As of Februa ry 2023\, over 100 cities are in the process of curating and disseminating open digital twin data in the CityGML format. The outcomes of these endea vors have been documented by Binyu et al.\, and further spotlighted in the 3D City Index benchmarking report. Notably\, this report indicates that a n impressive seven out of 40 cities (18%) examined were located in Japan.\ n\nThis presentation sheds light on the present status of open digital twi n data in Japan\, which aligns with the open database license ODbL. This d ata is adaptable to widely-used platforms like OpenStreetMap\, and specifi c converters have been crafted to facilitate this transition. Since 2022\, importation efforts have been executed on a trial basis\, orchestrated in conjunction with both national and global communities. This year\, after several rounds of import operations\, we have successfully integrated sign ificant portions of the data into OpenStreetMap. Our results show improved urban planning accuracy and heightened public engagement in the areas whe re the data was implemented. By sharing both our accomplishments and the o bstacles we encountered\, we aspire to spur the worldwide utilization of 3 D city model data. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Integrating Digital Twin City Data into OpenStreetMap: Insights fro m Japan's Project PLATEAU. - Taichi Furuhashi URL:https://talks.osgeo.org/foss4g-asia-2023/talk/VXWM8Z/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RXLXXV@talks.osgeo.org DTSTART;TZID=KST:20231130T104000 DTEND;TZID=KST:20231130T110000 DESCRIPTION:The Uber H3 library is a powerful geospatial indexing system th at offers a versatile and efficient way to index and query geospatial data . It provides static indexing scheme that allows for fast and accurate cal culations of geospatial distances\, as well as easy partitioning of data i nto regions. In this proposal\, we suggest using the Uber H3 indexing libr ary in Postgres for geospatial data analytics.\n\nPostgres is an open-sour ce relational database management system that provides robust support for geospatial data processing through the PostGIS extension. PostGIS enables the storage\, indexing\, and querying of geospatial data in Postgres\, and it offers a range of geospatial functions to manipulate and analyze geosp atial data.\n\nHowever\, the performance of PostGIS can be limited in some cases when dealing with large datasets or complex queries. This is where the Uber H3 library can be of great use. By integrating Uber H3 indexing w ith Postgres\, we can improve the performance of PostGIS\, especially for operations that involve partitioning of data\, distance calculations and z onal statistics\n\nThis talk will demonstrate the use of Uber H3 indexing library in Postgres for geospatial data processing through a series of exa mples and benchmarks. The proposed presentation will showcase the benefits of using Uber H3 indexing for geospatial data processing in Postgres\, su ch as improved query performance and better partitioning of data. \n\nThe proposed presentation will be of interest to developers\, data scientists\ , and geospatial analysts who work with geospatial data in Postgres. It wi ll provide a practical guide to integrating Uber H3 indexing with Postgres \, and offer insights into the performance gains and applications of this integration. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:Using Uber H3 Indexing Library in Postgres for Geospatial Data Anal ytics - json singh URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RXLXXV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RER9UL@talks.osgeo.org DTSTART;TZID=KST:20231130T104000 DTEND;TZID=KST:20231130T105000 DESCRIPTION:Title : Revitalizing Urban Voids in Coimbatore\, India: A Remot e Sensing Approach for Sustainable Development and Community-driven Regene ration using Open source software\n\nThe study on urban void regeneration in Coimbatore\, India\, utilizing remote sensing applications is an essent ial and promising endeavor. Urban voids\, characterized by underutilized o r abandoned spaces\, are prevalent in many cities and pose both challenges and opportunities for urban regeneration and development.\nThe integratio n of satellite imagery and GIS using open source software in this research allows for comprehensive mapping and analysis of the distribution and ext ent of urban voids in Coimbatore. The use of spectral and spatial analysis to classify these voids based on their characteristics\, such as size\, l ocation\, and land use patterns\, provides valuable insights for understan ding the current state of these spaces.\nThe focus on sustainable developm ent and community-driven interventions is crucial for ensuring that the re generated urban voids contribute positively to the city's overall fabric a nd cater to the needs and aspirations of the residents. By considering soc io-economic indicators and involving the community in decision-making proc esses\, the study can propose strategies that align with the local context \, thereby increasing the chances of successful and inclusive urban regene ration.\nThe identification of suitable functions for each void\, such as green spaces\, recreational areas\, or mixed-use developments\, based on r emote sensing data and socio-economic indicators is a commendable aspect o f the research. By selecting appropriate functions\, the regenerated space s can serve as valuable assets for the community\, contributing to their w ell-being and enhancing the urban environment.\nThe advocacy for integrati ng remote sensing technology into urban planning practices is well-founded . Evidence-based decision-making\, enabled by remote sensing data\, can si gnificantly improve the efficiency and effectiveness of resource allocatio n and urban development initiatives. This data-driven approach ensures tha t urban regeneration efforts are well-informed and targeted\, leading to b etter outcomes for the city and its residents.\nThe discussion on the broa der applicability of remote sensing in urban regeneration efforts is highl y relevant\, as it encourages other cities facing similar challenges to em brace these tools and methodologies. Leveraging remote sensing technology can empower cities to make informed decisions\, identify opportunities for regeneration\, and create more vibrant\, resilient\, and sustainable urba n environments.\nIn conclusion\, the study on urban void regeneration in C oimbatore demonstrates the potential of remote sensing applications in add ressing urban challenges and unlocking opportunities for sustainable devel opment. By combining technological advancements with community engagement\ , the research offers a holistic approach to urban regeneration that can s erve as a model for other cities seeking to revitalize underutilized space s and create thriving urban environments.\n\nKeywords : Urban Voids\, Open source software\, Spatial Analysis\, Urban Renewal\, Geographic Informati on System (GIS) DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Revitalizing Urban Voids in Coimbatore\, India: A Remote Sensing Ap proach for Sustainable Development and Community-driven Regeneration using Open source software - Prabhakaran Palanisamy\, CHANDRAMATHY\, Salghuna N N URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RER9UL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-DDYFMD@talks.osgeo.org DTSTART;TZID=KST:20231130T110000 DTEND;TZID=KST:20231130T112000 DESCRIPTION:Local Climate Zone (LCZ) maps represent a valuable informative tool for several applications including outdoor thermal comfort assessment \, building energy consumption\, and microclimate modelling. Typically\, t hese maps are produced by taking advantage of multispectral satellite imag ery and multiple geospatial layers (e.g. topographic databases and land us e/land cover maps)\, according to established workflows. Nonetheless\, cut ting-edge data and technologies leave large room for improvement. Furtherm ore\, different features in terms of map accessibility\, format and resolu tion may be required for the different applications depending on the end-u sers' needs. This is why user requirements should be gathered and addresse d during the mapping workflow’s design and implementation.\nIn view of t he above considerations\, the LCZ-ODC project (agreement n. 2022-30-HH.0)\ , funded by the Italian Space Agency (ASI)\, aims to produce multi-tempora l LCZ maps for the Metropolitan City of Milan\, in northern Italy\, using innovative open data sources and Free and Open Source Software (FOSS) tool s. The project is being carried out from a user-oriented perspective to ac hieve high levels of usability while fulfilling different end-user informa tional needs. Stakeholders\, including public administration\, professiona l associations\, foundations\, and researchers\, are actively involved in the project development and validation phases through dedicated workshops and educational events aiming to consolidate user needs\, guide product im plementation\, and assess the usability of the project outcomes.\nThe LCZ- ODC project uses a hybrid remote sensing/Geographic Information System (GI S) based approach for LCZ mapping\, utilizing both open geospatial layers and high-resolution satellite imagery. The latter include multispectral Se ntinel-2 images distributed by the European Space Agency (ESA) and hypersp ectral data acquired by the PRISMA (Hyperspectral Precursor of the Applica tion Mission) satellite\, provided by ASI. Additionally\, in-situ weather measurements sensed by authoritative monitoring networks are used to asses s the statistical correlation between the LCZ classes and air temperature. \nThe Open Data Cube (ODC) technology serves as the project’s backend sy stem\, facilitating multi-source data integration\, pre-processing\, and t he distribution of ready-to-use data. In particular\, geospatial layers co ntained in the ODC include multi-temporal and multi-resolution LCZ maps\, preprocessed satellite images\, and static layers describing the LCZ morph ological properties\, like sky-view factor\, building height\, and impervi ous surface fraction. A preconfigured ODC instance will be published in a Docker container\, equipped with libraries and tools needed for interactin g with and downloading the available datasets. Moreover\, Jupyter Notebook s will be made available as a project outcome\, enabling non-expert users to easily visualize\, query\, and download the data from the ODC. These No tebooks also offer documentation and ready-to-use code for expert users\, streamlining the data analysis and exploration process.\nThe ongoing work focuses on developing interactive and user-friendly interfaces to allow us ers with different levels of expertise to directly access and interact wit h the data contained in the ODC. Additionally\, training sessions are plan ned during the project's validation phase to demonstrate the products' ope rational use while tailoring outputs to the specific needs of users. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:A user-oriented FOSS solution for LCZ mapping: the LCZ-ODC project - J. R. Cedeno Jimenez URL:https://talks.osgeo.org/foss4g-asia-2023/talk/DDYFMD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-QYLJYW@talks.osgeo.org DTSTART;TZID=KST:20231130T110000 DTEND;TZID=KST:20231130T112000 DESCRIPTION:The "AIST 3DDB Client" is a web application designed to utilize the 3D database developed and operated by the National Institute of Advan ced Industrial Science and Technology (AIST) in Japan.\n\nThis app\, which allows for the viewing\, searching\, and downloading of various 3D data\, is released as an open-source software: https://github.com/aistairc/aist_ 3ddb_client\n\nIn this presentation\, along with an introduction to the ap p\, we will discuss the current state and challenges of 3D data visualizat ion on the web\, as well as provide tips when using Vue.js and CesiumJS. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:AIST 3DDB Client: an open-source web application for the 3D databas e - Sorami Shiromizu URL:https://talks.osgeo.org/foss4g-asia-2023/talk/QYLJYW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GF8WUG@talks.osgeo.org DTSTART;TZID=KST:20231130T112000 DTEND;TZID=KST:20231130T114000 DESCRIPTION:The point cloud is becoming a valuable resource for building Di gital Twins\, the virtual representation of a real-world physical feature\ , with the LiDAR developments. The semantic information of each point (suc h as walls\, floors\, doors\, windows\, etc.) is essential to handle and a nalyzing point clouds. However\, the raw point cloud captured from the LiD AR sensor doesn’t have semantics\, and the annotation task for adding se mantics is time-consuming and needs expert experience with commercial soft ware. Therefore\, we set up two goals for accelerating the 3D point clouds annotation task:\n- Machine-based assistants\, such as AI techniques\, an d\n- Task-based collaboration.\n\nRecently\, deep learning has been used t o derive semantic classes by automated classification and segmentation. Th erefore\, it can be used to address the manual task (bottleneck) in the tr aditional annotation process. Also\, the data format for deploying is esse ntial for collaboration. It should be easy to understand and efficient to share.\n\nPCAS (Point Cloud Annotation System) is a 3D point cloud annotat ion system that enhances the quality and speed of annotation tasks with de ep learning techniques. This system can be summarized as four key points:\ n- This system mainly develops based on Potree[1]\, an open-source library for point cloud visualization. It also utilizes various open sources\, su ch as open3d[2] and torch-points3d[3]\, for handling point clouds with dee p learning modules.\n- This system supports three tools to accelerate anno tation work: semi-automatic labeling with a deep learning module\, 3D shap e object-based labeling\, and normal vector-based cluster labeling.\n- The annotation task can be easily shared and tracked\, similar to GitHub.\n- The annotation task results are stored as an HDF5 file based on a predefin ed profile[4] for the labeled point clouds\, easily sharing and managing s emantic information.\nThis talk will introduce the four main points above\ , including the structure of PCAS with other open sources\, the design pur pose\, and problems and solutions encountered during development.\n\nRefer ences: \n[1] Potree\, WebGL point cloud viewer for large datasets\, https ://github.com/potree/potree \n[2] torch-points3d\, Pytorch framework for doing deep learning on point clouds\, https://github.com/torch-points3d/to rch-points3d \n[3] Open3D\, A Modern Library for 3D Data Processing\, htt ps://github.com/isl-org/Open3D \n[4] The HDF5 profile for labeled point c loud data\, https://docs.ogc.org/dp/21-077.html DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:Accelerating the 3D Point Clouds Annotation Task with Deep Learning and Collaboration - Wijae Cho\, Taehoon Kim\, Kyoungsook Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GF8WUG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-3DQ8KX@talks.osgeo.org DTSTART;TZID=KST:20231130T112000 DTEND;TZID=KST:20231130T114000 DESCRIPTION:UNVT Portable is a RaspberryPi-based package that enables users to access a map hosting server via a web browser\, primarily for offline applications during disaster events. By integrating aerial drone imagery\, OpenStreetMap\, and open data tile datasets\, this tool significantly enh ances disaster response capacities. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:UNVT Portable: Empowering Disaster Response through Offline Map Acc essibility - ShogoHirasawa URL:https://talks.osgeo.org/foss4g-asia-2023/talk/3DQ8KX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-WMWGSM@talks.osgeo.org DTSTART;TZID=KST:20231130T114000 DTEND;TZID=KST:20231130T120000 DESCRIPTION:Dive into the technological foundations of Re:Earth\, the open- source WebGIS platform. This session delves into the intricacies of core a rchitecture\, data management\, visualization techniques\, and plug-in dev elopment. Secure an in-depth understanding of Re:Earth's revolutionary app roach to geospatial data interaction. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Re:Earth Unearthed: Pioneering the Future of WebGIS Technology - Sh ogoHirasawa\, Piyush Chauhan URL:https://talks.osgeo.org/foss4g-asia-2023/talk/WMWGSM/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-KJJLNG@talks.osgeo.org DTSTART;TZID=KST:20231130T114000 DTEND;TZID=KST:20231130T120000 DESCRIPTION:The name fAIr is derived from the following terms:\n\nf: for fr eedom and free and open-source software\nAI: for Artificial Intelligence\n r: for resilience and our responsibility for our communities and the role we play within humanitarian mapping\n\nfAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT)\, designed to enhance the efficiency and accuracy of mapping efforts for humanitaria n purposes. By utilizing computer vision techniques and open-source AI mod els\, fAIr detects crucial map features from satellite and UAV imagery\, s tarting with buildings. The service fosters collaboration with local commu nities\, enabling them to create and train their own AI models\, ensuring relevance and fairness in mapping. Through a constant feedback loop\, fAIr progressively improves its computer vision models\, contributing to the c ontinuous advancement of humanitarian mapping.This talks will talk about o ur journey and vision for using AI DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:fAIr - Free and Open Source AI for Humanitarian Mapping - Kshitij R aj Sharma\, Emran ALCHIKH ALNAJAR URL:https://talks.osgeo.org/foss4g-asia-2023/talk/KJJLNG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-3LVW3L@talks.osgeo.org DTSTART;TZID=KST:20231130T120000 DTEND;TZID=KST:20231130T122000 DESCRIPTION:Smart Seoul Map is Seoul's representative map portal service.\n Smart Seoul Map is operated based on the newly created geospatial informat ion platform as open source SW in 2017-2018.\nSmart Seoul Map is an open-s ource software that is equipped with new technologies every year\, and the government introduces various policy projects to citizens. In particular\ , in the past COVID-19\, we made a map of corona medical information that citizens need to know\, such as screening clinics and respiratory treatmen t centers\, to communicate with citizens as quickly as possible. Today\, w e introduce Smart Seoul Map made with open source GIS SW. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:The new innovation in citizen communication with Smart Seoul Map by Open Source SW. - YONG IK LEE URL:https://talks.osgeo.org/foss4g-asia-2023/talk/3LVW3L/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-K37ASC@talks.osgeo.org DTSTART;TZID=KST:20231130T130000 DTEND;TZID=KST:20231130T150000 DESCRIPTION:2023 Conference of Korea Spatial Information Society DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:2023 conference of KSGIS - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/K37ASC/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-KRKVX7@talks.osgeo.org DTSTART;TZID=KST:20231130T130000 DTEND;TZID=KST:20231130T150000 DESCRIPTION:2023 Conference of Korea Spatial Information Society DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:2023 conference of KSGIS - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/KRKVX7/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MDLWUX@talks.osgeo.org DTSTART;TZID=KST:20231130T133000 DTEND;TZID=KST:20231130T135000 DESCRIPTION:A greenhouse is an important infrastructure for protecting out- of-season plants against extreme cold or hot weather. Remote sensing datas ets are useful for identifying the greenhouse locations\, measuring the g reenhouse sizes and accessing the greenhouse directions. In this research\ , the greenhouses were detected from the Planetscope satellite imagery usi ng the YOLO algorithm through the following steps. First\, the training sa mples of the greenhouses were made using the Planetscope satellite imagery . Second\, the YOLO model was trained using the generated training sample s. Finally\, the greenhouses were detected from the given Planetscope sate llite image using the trained YOLO model. The trained YOLO model had the o utstanding performance for detecting the greenhouse features from the give n Planetscope satellite imagery with the medium spatial resolution (3m). \ n\nAcknowledgment: This work was carried out with the support of "Cooperat ive Research Program for Agriculture Science and Technology Development (P roject No. PJ0162342022)" Rural Development Administration\, Republic of K orea. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Detection of the greenhouses from the Planetscope satellite image u sing the YOLO algorithm - YUN-JAE CHOUNG URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MDLWUX/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-E9FKAV@talks.osgeo.org DTSTART;TZID=KST:20231130T133000 DTEND;TZID=KST:20231130T135000 DESCRIPTION:The MapLibre Organization is an umbrella for open-source mappin g libraries with the two central rendering projects being MapLibre GL JS a nd MapLibre Native which are surrounded by an ecosystem of plugins and too ls to generate maps. \n\nMapLibre started as a fork of Mapbox GL JS 1.13 i n December 2020\, after Mapbox announced a second version of the library t hat was no longer open-sourced.\n\nIn this talk we'll showcase Maplibre wi th a few examples\, state of libraries in the ecosystem including native s dks\, current development process and more. DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:State of Maplibre - json singh URL:https://talks.osgeo.org/foss4g-asia-2023/talk/E9FKAV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-U3M3CH@talks.osgeo.org DTSTART;TZID=KST:20231130T135000 DTEND;TZID=KST:20231130T141000 DESCRIPTION:Testing is one of the stages in software development. It is a p rocess to identify errors that may occur in the system\, ensuring that the developed software is correct\, secure\, of high quality\, and efficient. This involves checking various aspects such as the user interface\, APIs\ , business logic\, data\, as well as the integration of different function s to ensure proper alignment and compliance. This is crucial to instill co nfidence that the tested system will have minimal errors. Developers must conduct testing before deploying a system\, whether it's a small feature\, a mobile application\, a machine\, or various types of software\, includi ng web mapping.\n\nIn this presentation\, we will explore a testing proces s specifically for web applications\, which is the most popular approach f or creating applications that can be used on both computers and mobile dev ices. This aims to ensure that users can comprehend the information being conveyed\, especially in the context of online maps\, involving location a nd map data to be presented on a website. The essential task is to establi sh a systematic testing process that aligns with the designed functionalit ies.\n\nTesting the system involves not only manual processes but also tec hnology frameworks that enable us to create automated test scripts. These scripts repeat tests on various functions within the web application\, suc h as invoking the web application\, navigating between pages\, entering te xt\, clicking buttons\, and performing actions related to maps\, such as s etting zoom levels\, panning\, and toggling layers. This testing will be p resented using an Automated Test Script Framework\, which will guide furth er development and enhancement of testing for online web map applications\ , ensuring efficiency and maximum accuracy.\n\nThis is an interesting area of applying application testing processes to online web map applications\ , inviting those interested in enhancing and ensuring the accuracy of thes e applications to participate. The presentation will outline the steps of creating a testing process using Automated Test Scripts and encourage inte rested individuals to collaborate and further develop the testing process in this session. DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:Automate Testing on Web Map Application with Cypress - Parichat URL:https://talks.osgeo.org/foss4g-asia-2023/talk/U3M3CH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GGG8B3@talks.osgeo.org DTSTART;TZID=KST:20231130T135000 DTEND;TZID=KST:20231130T141000 DESCRIPTION:The proliferation of high-resolution satellite imagery has dram atically transformed urban planning\, disaster response\, and environmenta l monitoring domains. A persistent challenge\, however\, is the precise ex traction and delineation of building footprints\, as traditional methods o ften yield results with irregular shapes and misalignments. To address the se limitations\, we present CornerRegNet\, a pioneering deep neural networ k designed to predict oriented building corners and subsequently regulariz e building footprints derived from satellite imagery.\nCentral to CornerRe gNet's design is its unique ability to harness oriented building corners a s primary anchoring points. This approach significantly streamlines and re fines the shape of the extracted building footprints. Using advanced multi -modal autoencoders\, CornerRegNet adeptly embeds a blend of corner featur es\, their inherent orientations\, and overarching semantic context. This intricate fusion of features allows the network to capture micro-level det ails and macro-level building structural context.\nEnhancing the accuracy of corner prediction\, the model incorporates active rotating filters. The se filters\, combined with uniquely devised equivariant convolutions\, ens ure that the predicted corners are not only spatially correct but also mai ntain their intended orientation concerning the building's overall layout. \nA pivotal component of CornerRegNet is the integrated Graph Convolution Network (GCN). This GCN is instrumental in iteratively refining the positi ons of corners from the preliminary footprints. Further\, the in-built sha pe regularizer within the GCN aids in achieving architecturally consistent and coherent footprints\, effectively minimizing typical extraction anoma lies.\nIn comparative evaluations\, CornerRegNet stands out\, consistently outperforming contemporary models. The network's resilience in managing a nd regularizing building shapes is a distinguishing attribute\, even under challenging scenarios marked by occlusions.\nIn conclusion\, CornerRegNet represents a unique advancement in building footprint extraction from sat ellite imagery. Its unique combination of corner orientation prediction an d shape regularization techniques sets new standards for accuracy\, effici ency\, and architectural interpretability. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:CornerRegNet: A Deep Learning Approach for Oriented Corner-Predicti on and Shape Regularization of Building Footprints from Satellite Imagery - Gunho Sohn URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GGG8B3/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LAGKWG@talks.osgeo.org DTSTART;TZID=KST:20231130T140000 DTEND;TZID=KST:20231130T143000 DESCRIPTION:With the development of drone technology\, multi-channel image sensor cameras are being installed along with general color imaging camera s. In particular\, thermal image sensors are increasingly interested becau se they are widely used in various ways in urban areas. However\, it is no t easy to create ortho-images because most thermal images have a very low resolution compared to color images and it is difficult to determine the c ontrol point in the image. In this study\, a thermal image geometric corre ction based on ortho-images was performed and its utilization was analyzed . DTSTAMP:20261015T054800Z LOCATION:Gallery 3 SUMMARY:Proposal for Utilization through Fusion of Drone Thermal and ortho Imagery - Seunghee Han URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LAGKWG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-9WU8PR@talks.osgeo.org DTSTART;TZID=KST:20231130T141000 DTEND;TZID=KST:20231130T143000 DESCRIPTION:This presentation delves into the fundamental characteristics\, capabilities\, and real-world usage of RGeo. \n\n1. Core concepts and dat a models of RGeo\n2. Basics of manipulating and querying geospatial data\n 3. Integration with Ruby on Rails and real-world application examples usin g RGeo\n\nAll materials can download from [my github](https://github.com/s mellman/foss4g-asia-2023-rgeo) DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:RGeo: Handling Geospatial Data for Ruby and Ruby on Rails - Taro Ma tsuzawa URL:https://talks.osgeo.org/foss4g-asia-2023/talk/9WU8PR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-F8RTUL@talks.osgeo.org DTSTART;TZID=KST:20231130T141000 DTEND;TZID=KST:20231130T143000 DESCRIPTION:Driven by the interest in efficient monitoring and maintenance\ , digital twins are being established across various domains such as archi tecture\, manufacturing\, and urban planning. Constructing a digital twin requires diverse forms of data based on the target area and purpose. To vi sualize vast and complex regions\, data acquisition is partitioned into ae rial and ground levels. In the aerial level\, aircraft and UAVs are utiliz ed\, while on the ground\, methods like Mobile Mapping Systems (MMS) and T errestrial Laser Scanners (TLS) are employed. However\, the registration o f cross-view images\, such as aerial-ground images\, is challenging due to differences in field of view\, hindering smooth image matching. While man ual registration through tie points established by humans is possible\, it comes at a high cost and time\, thereby impeding the efficiency of digita l twin construction. Recent advancements in deep learning-based image matc hing are enhancing the potential for the registration of cross-view images . In this study\, deep learning image matching is employed to automate the registration of cross-view images\, contributing to efficient digital twi n construction. Tie points are generated through deep learning image match ing between nadir/oblique UAV images acquired via autonomous flights and g round images captured by terrestrial laser scanners. Utilizing these tie p oints\, bundle adjustment is performed\, and a subset of tie points is ext racted based on reprojection error criteria. By incorporating these extrac ted tie points\, image registration is performed again to produce the resu lt. Experimental results demonstrate successful registration of previously unregistered ground images\, and the addition of ground-exclusive areas e nhanced the performance of the 3D model. This research is anticipated to c ontribute to the enhancement of efficiency and precision in digital twin c onstruction across diverse domains\, including spatial data analysis\, 3D modeling\, and national geospatial information systems. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Automatic Image Registration of Aerial-Ground Cross-view Images bas ed on Deep Learning Image Matching for Efficient Digital Twin Construction - Hwiyoung Kim\, SungJungHoon URL:https://talks.osgeo.org/foss4g-asia-2023/talk/F8RTUL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-ZY7NHR@talks.osgeo.org DTSTART;TZID=KST:20231130T143000 DTEND;TZID=KST:20231130T150000 DESCRIPTION:The Open Mapping Hub Asia-Pacific's Disaster Services Project a ims to support\, assist and connect the local OpenStreetMap communities an d partners in the disaster management sector\, particularly through disast er mapping-related activities using free and open source tools to increase resilience and reduce impact through data-driven decision-making in all s tages of disaster phases. This poster is a 2-year review of what has been accomplished in the project and the impact of the hub in becoming the go-t o open mapping data provider for the disaster management cycle of several local/national emergency management agencies and local government partners . DTSTAMP:20261015T054800Z LOCATION:Gallery 3 SUMMARY:Amplifying Disaster Services in the Region with Open Mapping Hub A sia-Pacific - Honey Fombuena URL:https://talks.osgeo.org/foss4g-asia-2023/talk/ZY7NHR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-ERLPKA@talks.osgeo.org DTSTART;TZID=KST:20231130T143000 DTEND;TZID=KST:20231130T145000 DESCRIPTION:This talk introduces a new open-source fast Memory-Efficient Fl ow Accumulation (MEFA) algorithm using OpenMP parallelization. Flow accumu lation is one of the most important parameters for any hydrologic and/or e nvironmental analyses. There have been many studies that focus on the impr ovement of its computational efficiency using OpenMP\, MPI\, and CUDA\, bu t most of benchmark algorithms are not memory-efficient in terms of the nu mber of write operations and the amount of bytes read/written. This memory -inefficient nature of those algorithms deteriorates their computational p erformance during parallel processing of the input flow direction matrix. The new MEFA algorithm has reduced its memory requirements in both writes and bytes by eliminating a need for intermediate output matrices and writi ng its final value to each cell only once deterministically. The new algor ithm performed 45% and 19% faster than its OpenMP and MPI benchmark algori thms\, respectively\, using 20% less memory asymptotically. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Memory-Efficient Flow Accumulation Using OpenMP Parallelization - H uidae Cho URL:https://talks.osgeo.org/foss4g-asia-2023/talk/ERLPKA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-8YG7LN@talks.osgeo.org DTSTART;TZID=KST:20231130T143000 DTEND;TZID=KST:20231130T145000 DESCRIPTION:The web browser is the most widely adopted open technology plat form\, and has powerful localization capabilities. For maps\, however\, th ese technologies can be inadequate. FOSS web map technology has often focu sed on commercial use cases in North America or Europe\, and international ization has not been a priority.\n\nFor FOSS4G Asia let’s take a high le vel tour of challenges that remain for Asian web mapping\, including:\n\n* Data availability: the prevalence of localized data such as place names a nd tagging schemes in OpenStreetMap\n\n* Data preparation: Approaches to l ocale-specific vector tile generation using the Protomaps open source base map generation tools\n\n* Map rendering: challenges for map display in Asi an languages using Mapnik and MapLibre GL\n\nWe’ll look at specific exam ples of cartographic applications in CJK (Chinese\, Japanese and Korean) l ocales\, South Asia and Myanmar. DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:The state of Asian web map localization with OpenStreetMap\, Protom aps and MapLibre - Brandon Liu URL:https://talks.osgeo.org/foss4g-asia-2023/talk/8YG7LN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-VHQLEK@talks.osgeo.org DTSTART;TZID=KST:20231130T145000 DTEND;TZID=KST:20231130T151000 DESCRIPTION:The interdisciplinary nature of forest ecology requires a seaml ess integration of traditional ecological methods with advanced computatio nal tools. With this in mind\, we introduce "skye-vision\," an open-source collection of Python libraries specifically curated to bridge the gap in the Python ecosystem for forest ecologists. By leveraging remote sensing\, photogrammetry\, and machine learning\, these libraries offer researchers an extensive toolkit for in-depth forest structure analysis.\n\nNoteworth y functionalities of Skye-Vision are:\n1. Advanced Visualization: Capabili ty to generate and visualize detailed point clouds and meshes\, offering i nsight into forest morphology.\n2. Structural Analysis: Tools to quantify forest attributes\, including leaf area index\, leaf area density\, plant volume density\, foliage height diversity\, and canopy cover.\n3. Hemisphe rical Image Processing: Techniques for converting 360-degree images into h emispherical photos\, enriching the study of forest canopies and their def ining metrics.\n4. Data Access & Processing: Simplified workflows for down loading and processing LiDAR data from GEDI and street-level imagery from Mapillary.\n\nWhile the primary focus of Skye-Vision is forest ecology\, t he flexibility of these libraries ensures applicability in a wider context . For instance\, their utility extends to ground truthing in various ecosy stems or analyzing urban environments for optimizing shade-rich pathways\, thereby aiding urban planning and conservation.\n\nIn this presentation\, we'll provide a comprehensive exploration of Skye-Vision’s capabilities . Beyond its primary application in forest ecology\, we will discuss poten tial extensions into other research domains. Attendees will gain insights into the library’s functionalities\, its contributions to current resear ch methodologies\, and its potential for advancing both academic and pract ical projects. As we emphasize the spirit of FOSS4G\, Skye-Vision exemplif ies the collaborative and transformative power of open-source endeavors in the scientific community. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:skye-vision: An Open-Source Ensemble of Python Libraries for Forest Structure Analysis through Remote Sensing and Imagery - Iosefa Percival\, Ben Leamon URL:https://talks.osgeo.org/foss4g-asia-2023/talk/VHQLEK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-7UWJFN@talks.osgeo.org DTSTART;TZID=KST:20231130T145000 DTEND;TZID=KST:20231130T151000 DESCRIPTION:GeoServer is a web service for publishing your geospatial data using industry standards for vector\, raster and mapping\, as well as to p rocess data!\n\nGeoServer widely used throughout the world by organization s to manage\, disseminate and analyze data at scale. GeoServer is an estab lished open-source components used projects like GeoNode\, geOrchestra and MapStore.\n\nThis presentation provides an update on our community as wel l as reviews of the new and noteworthy features in GeoServer. Attend this talk whether you are an user\, a developer\, or simply curious about what GeoServer can do for you.\n\nAttend this talk for a cheerful update on wha t is happening with this popular OSGeo project\, whether you are an expert user\, a developer\, or simply curious what GeoServer can do for you. DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:State of GeoServer - Jody Garnett URL:https://talks.osgeo.org/foss4g-asia-2023/talk/7UWJFN/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RH39DQ@talks.osgeo.org DTSTART;TZID=KST:20231130T150000 DTEND;TZID=KST:20231130T153000 DESCRIPTION:Contrails potentially influence the Earth’s energy balance by altering the radiative forcing (i.e.\, heating or cooling)\, particularly in middle latitudes where a cold and sometimes moist upper-troposphere (U T) intersects the mean jet-flight path altitude. Such contrail radiative f orcing should be amplified when multiple occurrences of these anthropogeni c clouds are grouped spatio-temporally as ‘contrail outbreaks’ and con trail cirrus on at least 1 × 103 km2\, extending over approximately 104~1 05 km2\, and persisting for approximately 1-6 h. To more definitively dete rmine the net radiative forcing of contrails and their role in contemporar y and future climate changes\, and to establish appropriate climate change mitigation strategies (e.g.\, jet flight activity regulation)\, it is ess ential to reliably detect contrail incidence and assess the spatio-tempora l distribution of contrail outbreaks as well as understand the underlying mechanisms of contrail formation. \n\nThanks to recent advanced technologi es\, one can obtain flight tracking data as well as automate an individual contrail occurrence detection on the satellite or aerial images and allev iate the burden of labor-intensive manual contrail detection tasks. In thi s context\, our COVID-Contrail project aims to (1) assess the changes of c ontrail occurrence patterns and relevant atmospheric factors in the contin ental United States (CONUS) before and during COVID-19 and (2) develop an automated data processing and analysis system to construct and publish a m assive contrail incidence database in high spatio-temporal resolution. Thi s project is expected to make significant advances in diverse aspects of c ontrail and climate studies. In the poster presentation\, we will introduc e our COVID-Contrail project and present work in progress of our project. DTSTAMP:20261015T054800Z LOCATION:Gallery 3 SUMMARY:COVID-Contrail: Automated Contrail Detection through Deep Learning Model - Eun-Kyeong Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RH39DQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RNCAQ8@talks.osgeo.org DTSTART;TZID=KST:20231130T151000 DTEND;TZID=KST:20231130T153000 DESCRIPTION:The quality of wine grapes is heavily influenced by environment al conditions such as geology\, meteorology\, geomorphology\, and more. Th erefore\, it's necessary to consider these factors when selecting the loca tion of a vineyard and the specific variety of wine grapes to be cultivate d. However\, these selections are often based on the experience of the far mers\, making it a barrier for newcomers and raising concerns about potent ial economic losses from inappropriate choices of vineyard locations and v arieties. In this research\, we attempt to estimate suitable areas for win e grape cultivation using machine learning\, utilizing the distribution of vineyards as supervised data. The evaluation areas include the surroundin gs of Ueda\, Toumi\, and Saku City in Nagano Prefecture. The locations of vineyards were identified through field surveys and interview surveys\, an d the data were aggregated on a 3rd level Japanese Standard Grid. The envi ronmental factors used for evaluation include geology\, slope angle\, slop e direction\, average annual temperature\, lowest annual temperature\, and highest annual temperature. These factors are publicly available in Data PNG format\, and a Python script was created to aggregate these data at th e 3rd Standard Grid. By incorporating the spatial distribution of existing vineyards as the supervised data and analyzing various environmental fact ors\, this approach aims to provide a more systematic and accessible way t o identify optimal vineyard locations\, thereby reducing reliance on indiv idual farmer experience. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Estimation of Vineyard Suitable Areas Using Machine Learning and Da ta PNG - Nobusuke Iwasaki URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RNCAQ8/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-9KXCH8@talks.osgeo.org DTSTART;TZID=KST:20231130T151000 DTEND;TZID=KST:20231130T153000 DESCRIPTION:ZOO-Project is a WPS (Web Processing Service) platform which is implemented as an Open Source project and following the OGC standards\, i t was released under an MIT/X-11 style license and is an official OSGeo pr oject. It provides a WPS compliant developer-friendly framework to easily create and chain web services. This presentation gives a brief overview of the platform and summarizes new capabilities and enhancement available in the new version. A brief summary of the Open Source project history with its direct link with FOSS4G will be presented. The new release comes up wi th a brand new ZOO-Kernel Fast Process Manager and\, with the approved sta ndard OGC API - Processes part 1: core. The new functionalities and concep ts available in the latest release will be presented and described\, also highlight their interests for applications developers and users. Apart fro m that\, various use of OSGeo software\, such as GDAL\, GEOS\, PostGIS\, p gRouting\, GRASS\, OTB\, SAGA-GIS\, as WPS services through the ZOO-Projec t will be presented. Then\, the ongoing developments and future innovation s will be explored. DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:ZOO-Project: from OGC WPS to OGC API - Processes Part 1 and Part 2 - Gérald Fenoy URL:https://talks.osgeo.org/foss4g-asia-2023/talk/9KXCH8/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RTJDRW@talks.osgeo.org DTSTART;TZID=KST:20231130T153000 DTEND;TZID=KST:20231130T173000 DESCRIPTION:2023 Conference of Korea Spatial Information Society DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:2023 conference of KSGIS - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RTJDRW/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-EHK9CS@talks.osgeo.org DTSTART;TZID=KST:20231130T153000 DTEND;TZID=KST:20231130T160000 DESCRIPTION:In recent years\, aging infrastructure facilities has become an issue in various regions around the world. According to Japan's Ministry of Land\, Infrastructure\, Transport and Tourism\, the lifespan of infrast ructure is 50 years after construction\, but the number of infrastructure facilities that have exceeded their lifespan is increasing every year. On the other hand\, inspections are still conducted visually by facility mana gers\, and the inability to properly conduct detailed inspections due to a lack of engineers has become a social issue. Furthermore\, conventional v isual inspections lack consistency due to the large variation in results f rom one inspector to another. To address these issues\, we developed a web system that automatically detects cracks\, one of the inspection items\, by object detection\, and manages and visualizes the results using locatio n information. In this study\, we focused on cracks located on the apron's top of a quay wall\, one of the port facilities. In the inspection proces s\, we first used a small general-purpose drone to automatically photograp h the inspection target and create orthophotos. The orthophotos are then u ploaded to a crack detection web system. The system segments the uploaded orthophoto into smaller sections and uses object detection to locate crack s in the segmented image. Using the detection results and the orthophoto's location information\, the system calculates the detected cracks' locatio n. The results are displayed on the orthophoto and output in GeoJSON forma t\, which has the advantage that it can be easily combined with other geog raphic information data using QGIS for analysis and comparative analysis b ased on time series. In addition\, the system can perform everything from crack detection to display and download of results centrally on the Web\, making it easier and faster for inspectors to proceed with their inspectio ns. This new method\, which involves detecting cracks through object detec tion and acquiring consistent quality aerial images through automated dron e flight\, improves inspection efficiency while reducing the variability o f inspection results. DTSTAMP:20261015T054800Z LOCATION:Gallery 3 SUMMARY:Development of a crack detection system using aerial images taken b y a small general-purpose drone and utilization of location information - Daiki Komi\, Tomohito Kameyama\, Naoki Ueda\, Daisuke Yoshida URL:https://talks.osgeo.org/foss4g-asia-2023/talk/EHK9CS/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-3XFSGV@talks.osgeo.org DTSTART;TZID=KST:20231130T153000 DTEND;TZID=KST:20231130T154000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - MapTiler - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/3XFSGV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-BMTY77@talks.osgeo.org DTSTART;TZID=KST:20231130T153000 DTEND;TZID=KST:20231130T173000 DESCRIPTION:2023 Conference of Korea Spatial Information Society DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:2023 conference of KSGIS - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/BMTY77/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-PYKS3U@talks.osgeo.org DTSTART;TZID=KST:20231130T154000 DTEND;TZID=KST:20231130T155000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - Applied Technologies - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/PYKS3U/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RDEN8V@talks.osgeo.org DTSTART;TZID=KST:20231130T155000 DTEND;TZID=KST:20231130T160000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - Protomaps LLC - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RDEN8V/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-QATUQG@talks.osgeo.org DTSTART;TZID=KST:20231130T160000 DTEND;TZID=KST:20231130T161000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - Stadia Maps - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/QATUQG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-3QBZJA@talks.osgeo.org DTSTART;TZID=KST:20231130T160000 DTEND;TZID=KST:20231130T162000 DESCRIPTION:A talk for digital twin special session DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[DT] Spatial Digital Twins – the Australian experience by Ana Bel gun(CSIRO Data61) - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/3QBZJA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-WDDEGD@talks.osgeo.org DTSTART;TZID=KST:20231130T160000 DTEND;TZID=KST:20231130T162000 DESCRIPTION:The insecure environment in which slum households reside expose s them to many vulnerabilities as they struggle to protect their livelihoo d. Vulnerability is a dynamic and context-specific phenomenon. "livelihood " refers to a means of gaining a living\, livelihood capabilities and tang ible and intangible livelihood assets. People are less vulnerable if they possess more livelihood assets. Although\, the relationship between people 's livelihood assets and vulnerability remains largely untested. The susta inable Livelihood Framework overlooks the interactions and transformations between different livelihood assets. The paper aims to identify the under utilize dimensions and indicators to analyze the livelihood vulnerability in the urban poor context. The paper identifies 11 dimensions with 99 indi cators through the literature review. The expert's opinion and the empiric al study will help finalize the indicators list. An integration of livelih ood capital can help develop a framework for assessing the vulnerability o f urban livelihoods. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Understanding Livelihood Assets: Opportunities or Constraints in Ac cessing Livelihood for Urban Poor. - Anjali Pathak URL:https://talks.osgeo.org/foss4g-asia-2023/talk/WDDEGD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-BWLEWF@talks.osgeo.org DTSTART;TZID=KST:20231130T161000 DTEND;TZID=KST:20231130T162000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - Aereo - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/BWLEWF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-SHYVTD@talks.osgeo.org DTSTART;TZID=KST:20231130T162000 DTEND;TZID=KST:20231130T164000 DESCRIPTION:In the present research the land surface temperature (LST) has been calculated from Landsat 8 data of Jeju island to understand the spati al distribution of temperature on island which would be strongly related w ith ecological characteristics of the island. The dates were selected base d on seasons (Winter and Summer) March 12 and September 19\, 2020\, respec tively. Results calculated from thermal band of Landsat 7 revealed the tem perature variations in the island. Winter temperature varies from -3.7 to 31 oC degree Celsius while minimum temperature in Summer season was 20.6 a nd maximum 43.1 degree Celsius. The surface temperature was also calculate d on different elevation for both the seasons. It was found that on 100 m elevation\, in winter North and South directions have same temperature\, c omparatively\, in Summer the North direction has 0.97 oC higher temperatur e over South. East direction showed 0.55 oC higher temperature as compared to West in Winter but in Summer season the case was opposite and West has 1.46 oC higher surface temperature from East. Interestingly on 100 m heig ht in Summer\, North and West has also same temperature (34.25 oC). In sec ond case\, on 500 m height for all four directions the LST was compared an d results showed that South has 0.58 and 1.52 oC higher temperature in Win ter and Summer season respectively from North. On the contrary\, West has 3.33 and 0.5 oC higher temperature over East in Winter and Summer season r espectively. It revealed that seasons and altitude have great impact on th e LST in different cardinal directions of the island. From the results it can be assumed that the island ecological diversity would be strongly rela ted to the geographical distribution of temperature. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Elevation-wise and direction-wise distribution of Land Surface Temp erature in Jeju Island using Landsat Data - Muhammad Farhan Ul Moazzam URL:https://talks.osgeo.org/foss4g-asia-2023/talk/SHYVTD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-N9QLAQ@talks.osgeo.org DTSTART;TZID=KST:20231130T162000 DTEND;TZID=KST:20231130T164000 DESCRIPTION:A talk for digital twin special session DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[DT] The Frontier of Digital Twin in KOREA by Sijung Kim(Korea Gove rnment) - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/N9QLAQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-KW9XQB@talks.osgeo.org DTSTART;TZID=KST:20231130T162000 DTEND;TZID=KST:20231130T163000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - Francis Gasgonia - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/KW9XQB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GDRZWF@talks.osgeo.org DTSTART;TZID=KST:20231130T163000 DTEND;TZID=KST:20231130T170000 DESCRIPTION:Recently\, the rapid advancement of autonomous driving-related technologies has led to swift progress in the development of various sensi ng devices and application methods. In particular\, plans to produce highl y precise maps to support this technology are being promoted\, and researc h and data production projects related to this are being conducted continu ously.\n\nOn the other hand\, the nature of maps\, which must maintain a c ertain level of accuracy\, makes them difficult to update frequently. This is due to the substantial manpower and financial resources required not o nly for initial production but also for continuous updating of the maps.\n \nI believe that the most fitting solution to this problem is AI technolog y. It has already been actively applied in other fields and can provide bo th speed and cost-effectiveness. However\, since the deep learning models currently available have limitations in terms of accuracy when producing m aps\, a separate AI model that can guarantee this accuracy must be develop ed. In this study\, we aim to introduce a method that can automatically up date road maps by enhancing previously announced deep learning models and integrating various spatial data. DTSTAMP:20261015T054800Z LOCATION:Gallery 3 SUMMARY:Development of deep learning model for road mapping - Suhong Yoo URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GDRZWF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-BUNEMV@talks.osgeo.org DTSTART;TZID=KST:20231130T164000 DTEND;TZID=KST:20231130T170000 DESCRIPTION:Linear geomorphic features such as valleys and ridges tend to r epresent geologic lineaments and contribute important information in targe ting natural resources\, evaluating hazard risk and elucidate surface defo rmation caused by tectonic forces. Several methods have been proposed for automatic lineaments detection and are mainly implemented using proprietar y software. As a result\, refinement of algorithm and optimization of para meter selection remains unresolved.\nThe focus of this research was to inv estigate the process of extracting lineaments from Digital Elevation Model s (DEM). The entire workflow was implemented and tested using the Free and Open Source GRASS GIS framework using existing functions and addons.\nAs a preliminary step\, DEM was used to calculates terrain forms and associat ed geometry using the GRASS r.geomorphon function. As an alternative appro ach\, application of Convergence Index that depicts the structure of the r elief as channels and ridges was also applied. Test data covering parts of the Rokko mountain range in southeastern Hyōgo Prefecture\, Japan\, was used to hightlight valley systems used as input for the Canny edge. The Ca nny filter generates one-pixel-wide line(s) representing the most probable edge position and combines several steps to produce an edge and an angle map.\nIn the final step\, the Hough Transform algorithm used to extract si gnificant lines features by elimination the outlying pixels. The Hough tra nsform is optimized by using angle of edges as additional input to search only pixels which are in the direction of a particular line. \nThe results using the data processing workflow were evaluated for the test site and t he efficacy of automatic lineament extraction techniques were successfully demonstrated. Further\, the algorithm was also tested on multi-direction relief shades that highlight terrain features which would not in terrain f orm or Convergence Index maps alone. As an ongoing work\, optimizing param eter selection using machine learning is being tested to minimize subjecti vity in linear feature extraction. The presentation will highlight on adva ntages of the approach to extract and validate “geologic” lineaments a nd demonstrate results obtained using high-resolution DEM.\n\nKeywords: Li neaments\, DEM\, Terrain Forms\, Convergence Index\, Edge Extraction\, Hou gh Transform DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Evaluation of Workflow for Linear Feature Extraction from Digital E levation Models Using GRASS GIS - Venkatesh Raghavan URL:https://talks.osgeo.org/foss4g-asia-2023/talk/BUNEMV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GRF8F8@talks.osgeo.org DTSTART;TZID=KST:20231130T164000 DTEND;TZID=KST:20231130T170000 DESCRIPTION:A talk for digital twin special session DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[DT] The Urban Digital Twin “Project PLATEAU” by Yuri TSUBAKI(J apan Government) - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GRF8F8/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-SEXBVE@talks.osgeo.org DTSTART;TZID=KST:20231130T165000 DTEND;TZID=KST:20231130T170000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - MIERUNE Inc - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/SEXBVE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RC7L8H@talks.osgeo.org DTSTART;TZID=KST:20231130T170000 DTEND;TZID=KST:20231130T173000 DESCRIPTION:The registration of multi-modal satellite images (e.g.\, SAR\, EO) is essential in fields using multiple images such as time series analy sis\, change detection\, and image fusion. The usability of satellite imag es acquired from various sensors can be increased only when the images are accurately registered to each other. However\, multi-modal satellite imag e registration is still challenging due to the different characteristics o f the images. Therefore\, in order to explore an effective way for multi-m odal satellite image registration\, this study intends to apply a matching method using feature extractors of pre-trained deep neural networks and c ompare the matching performance of the models.\n\nThis work was supported by the Agency For Defense Development by the Korean Government. DTSTAMP:20261015T054800Z LOCATION:Gallery 3 SUMMARY:Multi-modal satellite image registration - Mi-Kyeong Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RC7L8H/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-CMQV7B@talks.osgeo.org DTSTART;TZID=KST:20231130T170000 DTEND;TZID=KST:20231130T172000 DESCRIPTION:A talk for digital twin special session DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[DT] Digital Twin in Support of Peace – Experience from the UN by Diego Gonzalez Ferreiro(UN Global Service Centre) - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/CMQV7B/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-R7CSEY@talks.osgeo.org DTSTART;TZID=KST:20231130T170000 DTEND;TZID=KST:20231130T171000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - Sandeep Mehta(Parul University) - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/R7CSEY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-VXGFRQ@talks.osgeo.org DTSTART;TZID=KST:20231130T170000 DTEND;TZID=KST:20231130T172000 DESCRIPTION:Accurate prediction of land use and land cover (LULC) is essent ial for effective\nconservation\, sustainable development planning\, and m anaging competing user\ndemands. This study employs an ANN-Cellular Automa tion model to simulate and\npredict future LULC maps in Chitwan District\, Nepal. Three spatial variables\, namely\nDEM\, distance from road and riv er\, and aspect play a significant role in predicting the\nLULC map of the area. The model achieves a high accuracy level\, with a Kappa value\nof 0 .95636 indicating a strong agreement between observed and predicted 2020 L ULC\nmaps. By utilizing the 2010 and 2015 LULC maps in combination with th e same spatial\nvariables\, the study projects the LULC maps for 2020 and 2030. The results reveal that\ndue to anthropogenic pressures\, there will be a conversion of forest land and other\ncategories into built-up and cr opland areas. The study also identifies dynamic changes\nin land use and l and cover patterns within Chitwan District. The area of water bodies\ninit ially decreased from 76.88 sq. km in 2010 to 72.14 sq. km in 2015 but unde rwent a\nsignificant expansion to 99.81 sq. km in 2020 and further to 106. 39 sq. km in 2030.\nForest area exhibits a minor reduction from 1506.14 sq . km in 2010 to 1528.78 sq. km\nin 2020\, followed by a small increase to 1539.53 sq. km in 2030. Built-up areas witness\na steady increase from 3.9 0 sq. km in 2010 to 14.69 sq. km in 2020 and further growth\nto 18.86 sq. km in 2030. The agricultural area shows a decline from 597.05 sq. km in\n2 010 to 519.36 sq. km in 2020\, continuing the slight decline to 511.62 sq. km in 2030.\nThe study also observes an increase in the area of other woo ded land from 35.99 sq. km\nin 2010 to 57.34 sq. km in 2020\, but a subseq uent decrease to 43.58 sq. km in 2030.\nAdditionally\, the analysis of lan d surface temperature (LST) maps in December for\n2010\, 2015\, and 2020 r eveals distinct patterns\, with settlement areas consistently\ndisplaying higher temperatures than forest areas. These findings highlight the impact of\nland cover on local microclimates\, potentially leading to increased urban heat island\neffects in settlements. The study underscores the signi ficance of considering land use\nand land cover changes when managing urba n and forest environments in Chitwan\nDistrict\, Nepal.\n\nKeywords: Land use and Land cover\; ANN- Multi-layer perception\; Predicted LULC\,\nMOLUS CE\, QGIS DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Assessment of variation of land use/land cover and its impact on la nd Surface Temperature: a case study from Chitwan District\, Nepal - Netra Bahadur Katuwal\, Indra Kumar Subedi\, Jung-Sup Um\, Daejong Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/VXGFRQ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GLKDTP@talks.osgeo.org DTSTART;TZID=KST:20231130T171000 DTEND;TZID=KST:20231130T172000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - InnoPAM - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GLKDTP/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-SAQF7V@talks.osgeo.org DTSTART;TZID=KST:20231130T172000 DTEND;TZID=KST:20231130T173000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - TomTom - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/SAQF7V/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-V8HLFY@talks.osgeo.org DTSTART;TZID=KST:20231130T172000 DTEND;TZID=KST:20231130T174000 DESCRIPTION:Cocoa is a major global commodity\, and its production involves millions of mostly smallholder farmers in developing countries. Efficient and accurate counting of cocoa fruits during harvest is essential for eff ective resource management\, yield estimation\, and overall productivity i mprovement. Traditional manual counting methods are time-consuming\, labor -intensive\, and susceptible to errors\, necessitating the exploration of innovative technological solutions. \n\nThis research introduces a novel a pproach to automatic cocoa fruit counting using a mobile application integ rated with computer vision techniques. The proposed system leverages four services: 1) acquisition of farmers monitoring data using the mobile devic es\, 2) develop explainable AI model for automatic cocoa fruit recognition \, 3) presentation of Cocoa pod detection and counting services through a web & mobile based application and 4) collect the farmers feedback on coco a pod count to improve the services. To do this\, Mobile app for data coll ection was co-designed and tested with local farmers in Cameroon. This app allows farmers to take geo-tagged photographs and transfer them to the se rver when connectivity permits. In total\, 2132 Cocoa tree photos were man ually annotated and different artificial intelligence (AI) models (e.g.\, faster R-CNN\, darknet\, ResNet-50\, mobilenetv3) were developed and teste d for automatic counting of Cocoa pods. The Faster R-CNN model with a ResN et-50 performed better and provides accuracy above 70%. The model was depl oyed on a web service and provides real-time prediction through a web- & M obile based application \n\nThe insights gleaned from this research will s pawn a new generation of tools for Cocoa farmers to use. It is an efficien t\, non-destructive\, and low-cost method which offers useful information for them to plan agricultural work and obtain economic benefits from the c orrect administration of resources. Nonetheless\, further research is need ed to address potential limitations data collection strategies (specifical ly variable environmental conditions\, complex Backgrounds for image colle ction)\, image Annotation challenges and ensure seamless integration into the existing agricultural workflow. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Automatic Cocoa fruit count using a mobile app and computer vision - Arun Kumar Pratihast\, Eliya Buyukkaya\, Jappe Franke\, Hugo de Groot URL:https://talks.osgeo.org/foss4g-asia-2023/talk/V8HLFY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-NWMGTE@talks.osgeo.org DTSTART;TZID=KST:20231130T172000 DTEND;TZID=KST:20231130T174000 DESCRIPTION:A talk for digital twin special session DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[DT] LH Urban Digital Twin(Digital Twin for Urban planning) by Hyoc heol Park(LH Corp.) - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/NWMGTE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-SDCLHJ@talks.osgeo.org DTSTART;TZID=KST:20231130T173000 DTEND;TZID=KST:20231130T174000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - SIIS - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/SDCLHJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-N7N97Z@talks.osgeo.org DTSTART;TZID=KST:20231130T174000 DTEND;TZID=KST:20231130T180000 DESCRIPTION:A talk for digital twin special session DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[DT] Digital Twin Collaborating with Citizens\, S-Map by KiSung Son g(Seoul Metropolitan Government) - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/N7N97Z/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-JLCFRH@talks.osgeo.org DTSTART;TZID=KST:20231130T174000 DTEND;TZID=KST:20231130T175000 DESCRIPTION:A talk for B2B Session DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - i-bitz Company Limited - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/JLCFRH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-NUBYSE@talks.osgeo.org DTSTART;TZID=KST:20231130T174000 DTEND;TZID=KST:20231130T180000 DESCRIPTION:Vietnamese students may feel differently about Open Source envi ronment\, depending on each student and their level of technological under standing. Especially\, Free Open Source Software for Geospatial (FOSS4G) a llows students to access and explore new technology easily\, with plenty o f applications in daily life and the society. It provides diverse and rich resources for students\, being able to read\, research and participate in the development of FOSS4G and helps students expand their knowledge and s kills.\n\nSubjects currently taught for students of the Information System s Program include Open GIS Software Developments\, GIS Programming Techniq ues\, Data structure and Algorithms\, and Data Mining with Open Source Res ources. All the courses use Open Source software and Open data for labs an d practice. Google Earth Engine codes development using Java Scripts and P ython is introduced as extra selective course. QGIS Plugins development wi th Python is included as Mini-projects as well.\n\nFOSS4G has a growing an d supportive community that contributes through problem solving\, mentorin g\, and evaluation of solutions. This gives students the opportunity to le arn from experienced people\, creating a positive community learning envir onment. This also enables students to create personal projects and applica tions\, while also practicing software development and creativity skills. However\, not all students can feel positive about Open Source. Some stude nts may have difficulty reading and understanding source codes\, or a feel ing that they do not have enough time and knowledge to contribute to Open Source projects.\n\nOur Vietnamese students have many ways to approach ope n source such as: learning from university curriculum\, from various train ings online or offline\, joining online communities and forums in the inte rnet such as GitHub\, GitLab and Bitbucket\, just to name a few. They may participate in competitions and events like hackathons or software develop ment competitions to practice their skills and learn deeper in the field. Free courses on online platforms like Coursera\, edX or Codecademy are qui te useful for beginners\, where they can follow blogs and documentation. B ut most importantly\, students should set goals and have a strong consent to study\, work actively and continuously in this area\, and that is indee d the goal of our FOSS4G curriculum at university. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Teaching Open Source for Vietnamese students – my two-year’s ex perience - Ho Dinh Duan URL:https://talks.osgeo.org/foss4g-asia-2023/talk/NUBYSE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-NXD3XU@talks.osgeo.org DTSTART;TZID=KST:20231130T175000 DTEND;TZID=KST:20231130T180000 DESCRIPTION:FOSS4G-Asia 2023 Business to Business Talk DTSTAMP:20261015T054800Z LOCATION:SSM1 13th Fl. SUMMARY:[B2B] - Gaia3D - FOSS4G-Asia 2023 URL:https://talks.osgeo.org/foss4g-asia-2023/talk/NXD3XU/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RVSQCF@talks.osgeo.org DTSTART;TZID=KST:20231201T093000 DTEND;TZID=KST:20231201T110000 DESCRIPTION:City planning is a hard task given the scale and complexity of urban systems. Urban planners need better tools to help them understand an d contextualise large urban systems. To address this concern\, we introduc e Urbanity\, an open global tool that provides planners a seamless interfa ce to generate city-scale representation of urban networks and their conte xtual features. Urbanity is developed with Python and built entirely on op en source software and open data. The tool has been applied and tested at a global scale and demonstrates the powers and promises of urban analytics across any geographical location and scale. The proposed workshop session will include: 1) a presentation on Urbanity\, 2) demonstration of its key functionalities\, and 3) a step-by-step code along session to use Urbanit y in urban science workflows. Urbanity plays an important role in helping urban planners and policymakers to make sense of the big data that is emer ging from cities. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:Urbanity: A Global Tool for Open Urban Network Analytics - Winston Yap URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RVSQCF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-D9W8WM@talks.osgeo.org DTSTART;TZID=KST:20231201T100000 DTEND;TZID=KST:20231201T113000 DESCRIPTION:2023 Conference of Korea Spatial Information Society DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:2023 conference of KSGIS Poster Session 1 - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/D9W8WM/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GLZZGJ@talks.osgeo.org DTSTART;TZID=KST:20231201T100000 DTEND;TZID=KST:20231201T113000 DESCRIPTION:2023 Conference of Korea Spatial Information Society DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:2023 conference of KSGIS Poster Session 2 - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GLZZGJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RXFPQU@talks.osgeo.org DTSTART;TZID=KST:20231201T100000 DTEND;TZID=KST:20231201T102000 DESCRIPTION:As spatial data in indoor space is quite different from outdoor space\, building and processing indoor spatial data significantly differ from outdoor spatial data. In order to meet the demand for indoor spatial information\, OGC has published a standard for indoor spatial information\ , called OGC IndoorGML\, which is a standard data model and encoding schem a. Accordingly\, we need software and tools supporting indoor spatial data in IndoorGML. In this talk\, we will introduce several open source softwa re supporting OGC IndoorGML\, which cover the lifecycle of spatial data fr om building indoor spatial data to applications. Several use-cases will be presented to explain how to apply these tools for specific projects. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Open Source Tools for Handling OGC IndoorGML - Ki-Joune Li URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RXFPQU/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-DYRE8P@talks.osgeo.org DTSTART;TZID=KST:20231201T102000 DTEND;TZID=KST:20231201T104000 DESCRIPTION:3D buildings layer is essential to implement geospatial digital twin environment. Considering content construction cost\, having 3D build ings of LOD 1 is regarded cost-effective for location-based visualization and simulation. 3D buildings of LOD 1 layer without texture can be easily created by extruding the building heights from building footprint's planar geometry. 3D building models are processed to be a streamable tileset ove r the web. To apply enormous number of building features at nation-wide sc ale\, a global tileset by merging external tilesets was implemented. \n\ nThe author has implemented creating 3D buildings of LOD 1 and tiling it a s a streamable tileset of 3D Tiles. Per each building feature\, 3D COLLADA model with local coordinate was created from buliding footprint's geometr y of shapefiles by FME Desktop. In order to manage each building's metadat a\, KML reference model per building is applied while 3D model is linked a s a COLLADA file. At a building footprint's centroid location\, a KML is c reated containing longitude\, latitude\, altitude and linking a correspond ing COLLADA file. The metadata in KML is generated from shapefile's attrib utes by a custom bash shell script. When KML/COLLADA models are ready\, Ce sium ion 3D Tiling Pipeline is used to create a per-building tileset of 3D Tiles. As the number of building features grow up to nation-wide scale\, managing a single tileset is not only difficult to create but also causing network payloads. To resolve these issues\, tilesets are granulated at ma nageable level and merged as a global tileset by merging external tilesets using open source 3D Tiles Tools. The characteristics of this talk is in its streamlined process workflow rather than each part of the job. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Tiling a Per-Building Tileset of 3D Tiles and Making It Perform at Nation-Wide Scale using External Tilesets - Kyu-sung Choi URL:https://talks.osgeo.org/foss4g-asia-2023/talk/DYRE8P/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RGH7QE@talks.osgeo.org DTSTART;TZID=KST:20231201T104000 DTEND;TZID=KST:20231201T110000 DESCRIPTION:While the world of free open-source geospatial software is vast \, mobile navigation remains relatively uncharted territory. Despite apps like OSMAnd and Organic Maps offering navigation\, the landscape lacks com prehensive and accessible SDKs. Perhaps the most well-known prior work of this type is the Mapbox Navigation SDK. It was originally open-source\, bu t over the years it progressively more difficult to plug in routes from ot her vendors\, and eventually the critical components were made closed sour ce.\n\nThe future of mobility is evolving. Micromobility is one important trend of course\, but we are also seeing innovation in routing itself with the advent of wheelchair routing\, preference for lit areas\, and even cu stom routing for golf cart communities in the United States. However\, the barrier to integrating these custom routes into your own apps remains fai rly high. In this changing landscape\, the need for a flexible and open-so urce navigation SDK is more pronounced than ever.\n\nThis talk will introd uce Ferrostar\, a new open-source\, cross-platform\, vendor-neutral SDK wh ich aims for these lofty goals. It will give a high-level overview of the prior work\, our decision to use Rust for the core\, and some of the techn ical challenges we have encountered in trying to build idiomatic libraries for both iOS and Android.\n\nThis talk is aimed equally at mobile and sys tems developers. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Ferrostar: Building the Future of Mobile Navigation in Rust - Ian W agner URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RGH7QE/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-38VQPY@talks.osgeo.org DTSTART;TZID=KST:20231201T110000 DTEND;TZID=KST:20231201T112000 DESCRIPTION:The GRASS GIS community celebrated its 40th birthday this past summer! Its version 8.3 provides more than 360 changes compared to the 8.2 release\, and it comes with many fixes and improvements in its modules an d graphical user interface. The single-window layout is now mature and pro vided as the default UI. We have extensively cleaned up the C/C++ code by adopting the Clang format and fixing almost all compiler warnings. Not onl y that\, we started modernizing the build system using CMake for cross-pla tform build automation\, testing\, and packaging. We are also converting t he HTML manuals to easier-to-maintain Markdown/mkdocs to collect more user contributions. Last but not least\, for internalization efforts\, we have migrated our translation platform from Transifex to Weblate\, which autom atically creates pull requests with new translations. As always\, we welco me new contributors for development\, documentation\, and translation! DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:State of GRASS GIS: 40 Years Strong and Counting - Huidae Cho URL:https://talks.osgeo.org/foss4g-asia-2023/talk/38VQPY/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-BLR3HB@talks.osgeo.org DTSTART;TZID=KST:20231201T112000 DTEND;TZID=KST:20231201T114000 DESCRIPTION:OSMSG is an Open Source Python command line tool for OpenStreet Map statistics\, can be installed through pip. It processes planet files d irectly\, allowing for generation of stats for any time period without any database or additional resources. It can also process changefiles for cus tomized analysis. OSMSG can extract country-level data and generate hashta g stats\, supporting multiple output formats for data visualization. Ideal for researchers \,developers and mappers\, it's a simple yet powerful too l for timely and relevant OSM data insights. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:OSMSG : On the Fly OpenStreetMap Stats Generator - Kshitij Raj Shar ma\, Deepak Pradhan URL:https://talks.osgeo.org/foss4g-asia-2023/talk/BLR3HB/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LZUSLH@talks.osgeo.org DTSTART;TZID=KST:20231201T114000 DTEND;TZID=KST:20231201T120000 DESCRIPTION:We're living in the world of APIs. CRUD operations are base of lot of operations. Many smart frameworks such as Django\, Flask\, Laravel provides out of the box solutions to filter the data\, which covers almost all needs to separate data based on column values. \nWhen it comes to Geo spatial data\, we expect to filter data based on their location property i nstead of metadata. This is where things get complicated\, if you are usin g framework that doesn't have package\, library built to handle such use c ases\, you are likely to be dependent on either database or any external p ackage to handle it.\n\nFortunately Geodjango[https://docs.djangoproject.c om/en/4.0/ref/contrib/gis/] (Django's extension) allows us to create datab ases which understands geometry and can process it[https://docs.djangoproj ect.com/en/4.0/ref/contrib/gis/geoquerysets/#gis-queryset-api-reference]. It also provides support to write APIs using Rest Framework extension [htt ps://pypi.org/project/djangorestframework-gis/] which takes this to next l evel allowing user to output the data in various formats\, creating pagina tions inside geojson\, create TMSTileFilters\, etc.\n\nIn this talk we'll scratch the surface of this python package and see how to build basic CRUD APIs to push\, pull GIS data along with filtering it to the PostgreSQL da tabase DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Creating GIS Rest APIS using Geodjango under 30 minutes - krishna l odha URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LZUSLH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-MBUBEK@talks.osgeo.org DTSTART;TZID=KST:20231201T130000 DTEND;TZID=KST:20231201T130500 DESCRIPTION:Introduction of Session (Urban Thinkers Campus: Open Data and A rtificial Intelligence for Urban Proximity)\nOpening Remarks DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:Urban Thinkers Campus: Open Data and Artificial Intelligence for Ur ban Proximity (Moderator: Junyoung Choi) - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/MBUBEK/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LMW77V@talks.osgeo.org DTSTART;TZID=KST:20231201T130500 DTEND;TZID=KST:20231201T131000 DESCRIPTION:[Urban Thinkers Campus] Opening Remarks DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[UTC] Opening Remarks - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LMW77V/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-SXZEM8@talks.osgeo.org DTSTART;TZID=KST:20231201T131000 DTEND;TZID=KST:20231201T132500 DESCRIPTION:[UTC] Responsible AI for Cities by Soumaya Ben Dhau(E-governanc e unit of United Nations University\, Guimarães\, Portugal) DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[UTC] Responsible AI for Cities by Soumaya Ben Dhau(E-governance un it of United Nations University\, Guimarães\, Portugal) - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/SXZEM8/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-9BWG9T@talks.osgeo.org DTSTART;TZID=KST:20231201T133000 DTEND;TZID=KST:20231201T135000 DESCRIPTION:[UTC] AI powered Geospatial Platform\, Artificial Intelligence Data Center DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[UTC] PntML: AI-powered Geospatial Data Platform by Kyoungsook Kim( AIST\, Artificial Intelligence Research Center) - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/9BWG9T/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-QJ9AQP@talks.osgeo.org DTSTART;TZID=KST:20231201T133000 DTEND;TZID=KST:20231201T135000 DESCRIPTION:In the context of climate change\, the increasing demand for en ergy-efficient buildings and sustainable urban development has become a pr essing issue due to the significant proportion of global energy consumptio n and carbon dioxide (CO2) emissions\nattributable to the building sector. This requires a concerted effort to reduce its environmental impact\, and Geographic Information\nSystem (GIS) applications are vital tools for ach ieving this by optimizing heat supply\, calculating costs\, analyzing prof itability\, and\nbalancing CO2 emissions. This study aims to address the c hallenge of achieving energy efficiency and reducing CO2 emissions in\nthe building sector\, specifically at the district level. To this end\, the r esearch objective is to develop a QGIS plugin that can simulate\nurban ene rgy demand at the district level by integrating 2D data with CityGML files and connecting QGIS to SimStadt software\nvia API to visualize the simula ted urban energy results in 3D on the Web Globe. The proposed plugin lever ages the open-source\nQGIS tool QField to capture building conditions and connect 2D and 3D data on urban energy simulation. Supplementary to this\, \nthis plugin provides up-to-date information on energy demand\, consumpti on\, CO2 emissions\, building component conditions via\nupdating related t ables in the database. Decision-makers can use this comprehensive and user -friendly tool to understand and act on\nthe results\, ultimately leading to a CO2-neutral district by 2045. The development of the QGIS plugin repr esents a significant step\ntowards sustainable urban development and clima te change mitigation by utilizing GIS applications for optimizing energy d emand\nand reducing CO2 emissions in the built environment. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:DEVELOPMENT OF QGIS PLUGIN FOR URBAN ENERGY SIMULATION USING 3D CIT Y MODEL AT THE CITY DISTRICT LEVEL - Hamidreza Ostadabbas URL:https://talks.osgeo.org/foss4g-asia-2023/talk/QJ9AQP/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-TJ83QZ@talks.osgeo.org DTSTART;TZID=KST:20231201T133000 DTEND;TZID=KST:20231201T135000 DESCRIPTION:eeSDM은 Google Earth Engine을 활용하여 종 분포 모델 링(SDM: Species Distribution Modeling)을 수행하기 위해 설계된 P ython 패키지입니다. 이 패키지는 환경생태 및 데이터과 학 분야 연구자가 종 분포와 환경인자 간의 관계를 탐색 하고 예측하는데 효율적인 도구를 제공합니다. 이번 발 표는 한국의 멸종위기 야생생물이자 천연기념물\, 기후 변화 생물지표종로 지정된 팔색조(Pitta Nympha)를 대상으 로 eeSDM의 주요 기능을 소개합니다. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:eeSDM: Google Earth Engine 기반 종 분포 모델링을 위한 Py thon 패키지 - Byeong-Hyeok Yu URL:https://talks.osgeo.org/foss4g-asia-2023/talk/TJ83QZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-PVQCPD@talks.osgeo.org DTSTART;TZID=KST:20231201T133000 DTEND;TZID=KST:20231201T135000 DESCRIPTION:In the interconnected world\, modern technologies can potential ly revolutionize how we tackle and address crucial issues. The Internet of Things (IoT) is one of the emerging innovations\, a network of linked dev ices that exchange and share data. IoT has opened up innovative solutions in various fields thanks to its ability to gather real-time data and enabl e accessible communication.\nThe UP Resilience Institute\, in partnership with the local government of Quezon City\, Philippines\, has embarked on a n ambitious project to incorporate an IoT system for rain and flood monito ring\, striving to improve emergency preparedness and response for both th e public sector and government. IoT provides unprecedented precision and t imeliness in tracking and analyzing essential data regarding precipitation and flooding scenarios\, making it a powerful tool to address the damages caused by disasters brought by floods. These events are associated with s ignificant loss of life\, property destruction\, and community financial d isruption. Traditional means of monitoring weather patterns and anticipati ng floods have limitations\; however\, IoT can revolutionize this process. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Internet of things for strengthening disaster-resilient communities in Quezon City\, Philippines - Janice Carpo-Aldea URL:https://talks.osgeo.org/foss4g-asia-2023/talk/PVQCPD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-WNA8C8@talks.osgeo.org DTSTART;TZID=KST:20231201T135000 DTEND;TZID=KST:20231201T141000 DESCRIPTION:웹 기반 3차원 공간정보 서비스에서 '3D Tiles'는 O GC 표준 서비스 사양으로서 전 세계적으로 점유율을 늘 려가고 있지만\, 정작 '3D Tiles' 데이터를 만드는 수단은 상업적 제품인 FME나 Cesium Ion 말고는 찾아보기 힘들다. 본 발표에서는 상업적 수준의 3차원 공간정보 웹 서비스 에서 어려움 없이 바로 사용이 가능한 '3D Tiles' maker 오픈 소스 제품을 공개하고\, 그 특징과 기존의 상업적인 제 품 대비 특별한 점을 소개하는 기회를 갖고자 한다.\n\nIn web-based 3D geo-spatial services\, "3D Tiles" is a standard service spec ification that is gaining ground globally\, but the means to create "3D Ti les" data are hard to find other than commercial products such as FME and Cesium Ion. Therefore\, I would like to take this opportunity to introduce an open source project "3D Tiles" maker\, which can be used directly in c ommercial-level 3D geo-spatial web services without any difficulty\, and i ntroduce its features and special points compared to existing commercial p roducts. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:JAVA-based '3D Tiles' Maker\, Mago 3DTiler - Hak joon Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/WNA8C8/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-RKYEEH@talks.osgeo.org DTSTART;TZID=KST:20231201T135000 DTEND;TZID=KST:20231201T141000 DESCRIPTION:This talk considers the contributions of YouthMappers chapters in Asia. In addition to a regional overview\, we highlight actions of stud ents in Bangladesh and the Philippines to fill critical data gaps that sup port community access to information during emergencies\, natural disaster s\, and pandemics using open data such as OpenStreetMap and open source to ols like QGIS. Lack of data leads to poor decision-making at any time\, bu t in the context of shocks and hazards\, it can have an especially profoun d impact on local communities. By creating open geospatial data through OS M and by advancing the geospatial capacity of university students and loca l community members\, local governing bodies will be able to plan for the well-being of their constituents and community members will have access to the information necessary to keep their families safe. This contributes t o better health and well-being (SDG3)and a more resilient society in the f ace of impacts of climate change (SDG 13). DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Building Resilient Communities in Asia: Harnessing Open Data and Op en Source Tools in Addressing Sustainable Development Goals - Feye Andal URL:https://talks.osgeo.org/foss4g-asia-2023/talk/RKYEEH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-LKWZRR@talks.osgeo.org DTSTART;TZID=KST:20231201T135000 DTEND;TZID=KST:20231201T141000 DESCRIPTION:Flood Detection from Sentinel-1 imagery has traditionally relie d on thresholding approaches. Conventional methods often face challenges i n regions where the surrounding areas also exhibit low backscatter\, resul ting in inaccurate results. Furthermore\, processing and conducting large- scale analysis pose significant challenges.\nIn this presentation\, we aim to overcome these limitations by harnessing the power of Deep Neural Netw orks (DNN) and supplementary data\, such as elevation and land-cover infor mation\, to enhance flood detection accuracy. This approach centers around training a neural network using open source cloud2street flood dataset. T o achieve large scale analysis we leverage the capabilities of the Cloud N ative Geospatial Tools\, which helps us avoid downloading data when perfor ming inference. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Sentinel-1 Image Analysis: Flood Detection using Cloud Native Tooli ng - Aman Bagrecha URL:https://talks.osgeo.org/foss4g-asia-2023/talk/LKWZRR/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-U8VLVS@talks.osgeo.org DTSTART;TZID=KST:20231201T135000 DTEND;TZID=KST:20231201T140500 DESCRIPTION:This research delves into the evolving interactions between sid ewalk delivery robots and pedestrians within urban environments\, focusing on the dual objectives of pedestrian safety and effective robot navigatio n in shared spaces. A comprehensive 3D digital twin model\, replicating re al-world urban settings\, was designed to simulate the multifaceted engage ments between humans\, robots\, and the urban fabric. Incorporated within this simulation was the Pedestrian Aware Model (PAM)\, a multi-agent syste m\, employed to mimic both robot and human movements.\n\nEmploying an agen t-based modeling approach\, a series of scenarios involving pedestrians\, wheelchair users\, and robots coexisting in sidewalk spaces were dissected . The salient revelation from this study is the non-contributory role of r obots to sidewalk congestion. Through programmed safety buffer zones\, rob ots not only ensure pedestrian safety but also facilitate streamlined navi gation\, hinting at a feasible harmonious integration.\n\nDespite this\, t he study unearthed certain challenges. Robots were predominantly implicate d in collisions\, whereas pedestrians often infringed upon set distance th resholds\, emphasizing the imperative for enhanced strategic measures to a lleviate these risks. However\, the overarching inference remains optimist ic: with judicious design and continuous research\, robots have the potent ial to integrate seamlessly with pedestrians\, enriching the urban milieu. The simulation model posited in this study stands as a pivotal resource f or urban planners and policymakers\, guiding them in formulating strategie s and policies for smooth robot-human cohabitation.\n\nQuantitative analys es further cement the significance of this research\, underscoring nuances like the importance of ample safety buffers around robots to minimize col lisions and enhance sidewalk traffic fluidity. In essence\, this research pioneers in illuminating the pathways for optimized robot-human coexistenc e in bustling urban settings. DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:Robot-Human Dynamics on Urban Sidewalks: Simulating Safe Coexistenc e through GIS-Based Digital Twinning - Gunho Sohn URL:https://talks.osgeo.org/foss4g-asia-2023/talk/U8VLVS/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-PAWDSJ@talks.osgeo.org DTSTART;TZID=KST:20231201T140500 DTEND;TZID=KST:20231201T141500 DESCRIPTION:[UTC] Neighborhood planning support using big data and AI by Ju nyoung Choi (The Seoul Institute\, Seoul\, Korea) DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[UTC] Neighborhood planning support using big data and AI by Junyou ng Choi (The Seoul Institute\, Seoul\, Korea) - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/PAWDSJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-HCM3XH@talks.osgeo.org DTSTART;TZID=KST:20231201T141000 DTEND;TZID=KST:20231201T143000 DESCRIPTION:In recent years\, the frequent occurrence of natural disasters has become a serious social issue\, making it extremely important for loca l residents to have accurate and timely access to disaster information tha t may affect their residential areas. This paper focuses on this challenge and reports an attempt to create a low-cost\, locally operated web-based hazard map system for sharing regional information.\nIn contrast to conven tional expensive systems\, this system proposes a combination of open-sour ce geographic information system tools and web technology to provide a low -cost and easy-to-use mechanism. It introduces a feature that allows local residents themselves to update and edit disaster preparedness materials a nd facility information easily\, ensuring the accuracy of the information. \nBy using this system\, access to disaster information becomes more conve nient compared to traditional paper or PDF-based hazard maps\, and it is e xpected to enhance overall disaster preparedness in the region. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Creating a Low-Cost and Operationally Viable WEB Hazard Map System for Disaster Information Sharing Among Local Residents - Yoichi Kayama URL:https://talks.osgeo.org/foss4g-asia-2023/talk/HCM3XH/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-W8JP9M@talks.osgeo.org DTSTART;TZID=KST:20231201T141000 DTEND;TZID=KST:20231201T143000 DESCRIPTION:The Digital Urban Environment project “toENG” aims to analy ze the influence of shadow\, wind\, and noise on the urban environment . T he project incorporates functionalities for user management\, allowing use rs to create workspaces and projects to conduct analyses.\n\nWithin the pr oject\, users can select specific services for analyzing shadow\, wind\, a nd noise within their chosen area. Currently\, the project is capable of a nalyzing shadow based on the 3D architecture of buildings.\n\nTo analyze s hadow in the urban environment\, users follow these steps: they select the shadow analysis option and specify the analysis area on a 2D map. They in put analysis parameters such as the time of day for the analysis and the d uration of the study. The analysis results are then presented through czml files\, displaying the levels of shadow influence.\n\nAfter completing th e analysis\, users can upload the 3D architecture of buildings in either I FC or 3D-tiles format. The analysis results and user-uploaded data are lin ked to “Re:Earth”\, allowing visualization on a 3D map.\n\n“toENG” project provides valuable insights into the interaction between environme ntal factors and urban spaces\, aiding in informed decision-making and sus tainable urban planning. DTSTAMP:20261015T054800Z LOCATION:Seoul Archive SUMMARY:Digital Urban Environment Project for Analyzing the Impact of Shado w\, Wind\, and Noise - Nguyen Van Thien\, Hirofumi Hayashi URL:https://talks.osgeo.org/foss4g-asia-2023/talk/W8JP9M/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-FLSZRJ@talks.osgeo.org DTSTART;TZID=KST:20231201T141000 DTEND;TZID=KST:20231201T143000 DESCRIPTION:환경영향평가의 스코핑(Scoping)제도는 사업자가 환경경향평가서를 작성할 때 ‘선택과 집중’ 차원에서 꼭 평가해야 할 항목과 범위를 미리 정하는 절차이다( 환경영향평가 스코핑 가이드라인(안) - 한경부). 이러한 환경영향평가의 스코핑 기능 및 역할의 강화를 위해 웹 서비스 시스템을 개발하였다. 이 시스템은 평가항목별 환경요소 자동분석\, 일반 및 중점 대상 항목 자동 선정\ , 평가 범위 설정 등을 지원하기 위한 환경전문가 의견 표출 등을 지원하고 있다. 첫번째. 사업지구와의 이격거 리 / 포함여부 판단\, 중첩 분석(중첩 면적 및 비율)\, 지 형분석(표고분석\, 경사분석\, 능선분할분석)의 공간분 석을 통한 평가항목별 환경요소 자동분석이 가능하다. 두 번째\, 공간분석 결과를 활용하여 일반 및 중점 대상 항목의 자동 선정이 가능하다. 세번째\, 환경전문가들이 선정한 평가항목별 알고리즘을 이용하여 평가 범위 설 정\, 심의의견 추천이 가능하다. 공간정보 분석 결과 환 경영향평가 현황 분석에 활용이 될 것으로 기대된다. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:오픈소스를 활용한 환경영향평가 스코핑 지원 시스템 개발 - Minpa Lee\, 박진우(Jinwoo Park) URL:https://talks.osgeo.org/foss4g-asia-2023/talk/FLSZRJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-QGCVG9@talks.osgeo.org DTSTART;TZID=KST:20231201T141500 DTEND;TZID=KST:20231201T143500 DESCRIPTION:[UTC] Unpacking the 15-minute City Model DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[UTC] Unpacking the 15-minute City Model by Catherine Gall (Chaire- ETI\, Paris France) - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/QGCVG9/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-YYTAWV@talks.osgeo.org DTSTART;TZID=KST:20231201T143000 DTEND;TZID=KST:20231201T145000 DESCRIPTION:한국에서 오픈스트리트맵을 널리 보급하기 위 해 다양한 방면에서 노력하는 오픈스트리트맵 한국 커 뮤니티를 소개합니다. 또한 각종 해외 사례를 토대로 오 픈스트리트맵 한국 커뮤니티와 OSGeo 한국어 지부가 앞으 로 소통\, 교류하면서 얻을 수 있는 여러 이점을 제시합 니다. DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:OpenStreetMap 한국 커뮤니티\, 그리고 OSGeo와의 소통 - Hwang Dongha URL:https://talks.osgeo.org/foss4g-asia-2023/talk/YYTAWV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-DF8UEV@talks.osgeo.org DTSTART;TZID=KST:20231201T143000 DTEND;TZID=KST:20231201T145000 DESCRIPTION:Identifying the current ecosystem extent and the underlying eco nomic activities and opportunities therein requires spatial analysis utili zing the most recent data. This is made possible with the use of Earth Obs ervation (EO) data retrieved from multi-spectral satellite imagery openly available to the public domain through the Copernicus and Landsat program of the European Space Agency (ESA) and the National Aeronautics and Space Administration (NASA) respectively. EO data has several advantages. It is supported by national governments\, and inter-governmental agencies mainta ining access to the data publicly available. It is free and open for use b y researchers\, governments\, and by the commercial sector. The project ar eas are three municipalities in the island of Mindoro\, Region IV-B MIMARO PA\, Philippines. Specifically in the province of Occidental Mindoro. The three municipalities are the provincial capital\, the Municipality of Mamb urao\, and the other two are the Municipalities of Rizal and Sablayan. The World Wide Fund for Nature – Philippines (WWF) commissioned the Communi ty Environmental Economic and Social Accounting Matrix (CEESAM) study for these three municipalities in support of its expanded sustainable liveliho od project for Tuna production and fisherfolk. This study’s component fo r spatial analysis is in support of the CEESAM for these municipalities. I n summary\, the study produced a land cover classification map achieving a n average overall accuracy of 80% computed for all three municipalities. T his is a good result since the accepted practice of achieving an overall a ccuracy within that 80% range is commendable. Processing the land cover cl assification was complemented with in situ observations using aerial image ry from light commercial drones and from ground based mobile imagery throu gh QFIELD. Referencing the different imagery from earth observation data t o aerial drone imagery\, and ground based field observations led to the id entification of spatial challenges and opportunities per municipality.\n T he study presented a workflow with a use-case for utilizing earth observat ion data using the latest and available update satellite imagery\, complem ented by in situ observations from aerial drone imagery and mobile field m apping app QFIELD. Also\, the municipalities included in the study have co mmon issues with regards to intermittent power interruption. Disruption in this vital utility slows down the production of any processing or cold ch ain facilities. Agricultural production primarily focus on annual crops fo r staples such as rice and corn. Mono cropping dominates the agricultural landscape with pockets of perennial crops which have room to integrate wit h traditional agriculture. Some areas have unfinished or unpaved farm to m arket roads. This results to inefficient logistics for the farmers in taki ng their produce to market. This could also add additional cost for them. Further\, there is still a need for improving on post-harvest and post-cat ch support for farmers and fisherfolk with regards to facilities and marke t linkage facilitation. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Three Pics and a Map: Using QFIELD\, a Drone\, and Sentinel 2 Image ry for Land Use and Land Cover Analysis in Support of Community Environmen t Economic and Social Accounting Matrix (CEESAM) Study - Francis Josef Gas gonia URL:https://talks.osgeo.org/foss4g-asia-2023/talk/DF8UEV/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-GBAAVD@talks.osgeo.org DTSTART;TZID=KST:20231201T143500 DTEND;TZID=KST:20231201T151500 DESCRIPTION:[UTC] Discussion (Chair: Bongmoon Choi)\n Junyoung Choi\, Th e Seoul Institute\n Seunghoon Han\, CHAIRE ETI\n Student Reporter\, Korea Planning Association\n Korea Research Institute for Human Settlem ent (TBA) DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:[UTC] Discussion (Chair: Bongmoon Choi) - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/GBAAVD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-XUQ8XA@talks.osgeo.org DTSTART;TZID=KST:20231201T145000 DTEND;TZID=KST:20231201T151000 DESCRIPTION:Open Street Map (OSM) is a collaborative and open-source platfo rm that aims to create a detailed and freely accessible digital data of th e world. The OSM data has been developed from approaches like Maxar and Bi ng Imagery helps to address the local level issues during the climate chan ge and disaster. However\, in densely populated urban area\, the mentioned imagery resolution does not seem to fulfill the necessary resolution requ ired to produce the digital data. In such a case the high resolution image ry is required. Hence\, this study has adopted advanced approach of integr ating high-resolution drone imagery\, facilitated by OSM platform. The stu dy is conducted in the Banepa Municipality of Nepal. With an aim of collec ting the inventory of roof top which are feasible for farming\, the concep t of Volunteered Geographic Information System (VGIS) has been applied. A multi criteria analysis including Roof Shape\, Tin Roof\, Buildings Materi als\, Water tanks. Solar Panels\, collected by VGIS technique\, was used t o extract suitable rooftop areas. Total number of houses in study area is 1055. The result shows 10.23 % (505.2 m2) are already adopting rooftop far ming. Housing structure shows that 1.7 % are temporary\, 54 % are concre te houses which include 16.68 % (Single flat roofs) and 37.25 % (double ro ofs)\, 16.1 % (with solar panels)\, and 47.86. % (with water tank). The pr eliminary analysis suggest that 54.02 % houses (approximately 48500 m2 ) a re potential roof top farming areas identified by excluding Tin roof\, wat er tank and solar panel areas. Having these data collected\, the main aims of this study is to describe the methodological process and the strength and weakness identified during the process of developing the data inventor y by OSM by integrating OAM. Finally\, this study recommend the necessary intervention needed. DTSTAMP:20261015T054800Z LOCATION:Circle Room SUMMARY:Implication of Open Street Map and Open Aerial Map for Sustainable Urban Agriculture: A Case study of Rooftop Farming in Banepa Municipality - Reshma\, Narayan Thapa URL:https://talks.osgeo.org/foss4g-asia-2023/talk/XUQ8XA/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-EZBRAD@talks.osgeo.org DTSTART;TZID=KST:20231201T145000 DTEND;TZID=KST:20231201T151000 DESCRIPTION:2D 군 지형분석서비스는 국방 디지털 트윈 플랫 폼 Api에서 구현했던 프로그램을 저 사양 클라이언트 사 용자를 위하여 2D기반에서 구현하고 기존 지형분석기능 을 고도화하기 위해 개발한 서비스이다. 주요 분석 기능 으로는 전술 공간 분석 기능\, 전투지원 분석\, 추가 공 간분석으로\, OGC 표준 Web processing service를 활용하여 분석 처리된 데이터를 가시화하였다. 이를 통해 군 작전환경 에 적합한 의사결정을 지원할 것이다. 분석에 사용한 dat a는 대체 DB로 실상황과 유사한 데이터를 Raster 및 Vector 데이터로 수집 및 가공하여 OGC웹 서비스(WMS\, WFS\, WPS\, WC S 등 서비스)로 제공한다.\n\nThe 2D military terrain analysis is a service developed to implement the program implemented in the defense dig ital twin platform API on a 2D basis for low-specification client users an d to enhance the existing terrain analysis function. The main analysis fun ctions include tactical space analysis\, combat support analysis\, and add itional space analysis\, and the analyzed and processed data was visualize d using the OGC standard web processing service. This will support decisio n-making appropriate for the military operational environment. The data us ed in the analysis is an alternative DB\, and data similar to the actual s ituation is collected and processed into raster and vector data and provid ed through OGC web services (WMS\, WFS\, WPS\, WCS\, etc..). DTSTAMP:20261015T054800Z LOCATION:Workshop Room SUMMARY:Military terrain spatial analysis service (Mil-Map 4.0)\, developme nt of 2D military terrain analysis service - Sohee Kang\, Yeonjun Kim URL:https://talks.osgeo.org/foss4g-asia-2023/talk/EZBRAD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-asia-2023-UF3AXB@talks.osgeo.org DTSTART;TZID=KST:20231201T153000 DTEND;TZID=KST:20231201T180000 DESCRIPTION:FOSS4G-Asia 2023 Seoul Closing DTSTAMP:20261015T054800Z LOCATION:Vium Hall SUMMARY:FOSS4G-Asia 2023 Seoul Closing - URL:https://talks.osgeo.org/foss4g-asia-2023/talk/UF3AXB/ END:VEVENT END:VCALENDAR