BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-2022-academic-track//HFK38L BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2022-academic-track-RKDK7X@talks.osgeo.org DTSTART;TZID=CET:20220825T141500 DTEND;TZID=CET:20220825T144500 DESCRIPTION:The “Destination Earth” initiative of the European Union en compasses the creation of Digital Twin Earths (DTEs)\, high-precision digi tal models of the Earth integrating various aspects of the Earth’s syste m to monitor and simulate natural phenomena and related human activities\, being able to explore the past\, understand the present\, and build predi ctive models of the future. There are multiple elements that a Digital Twi n Earth needs\, such as strong computation capabilities\, connectivity\, c loud computing\, Artificial Intelligence (AI)\, models that are able to de scribe physical phenomena\, scientific collaboration\, high volumes of goo d quality data (big data)\, and interoperability. \nA full-scope Digital T win Earth is a huge task that may require years to be built\, and Destinat ion Earth uses an incremental approach\, where multiple smaller parts are put together to create a single\, complete model by having smaller Digital Twins with the so-called digital twin precursors. This work presents an i nitial approach to address the big data\, interoperability\, cloud computi ng\, and scientific collaboration elements of the DTE\, by developing a mo dular web platform for integrating georeferenced open-source data using th e mediator-wrapper architecture to retrieve and query data from online sou rces. The scope of the project is to create this platform for the Italian Coast\, with the goal of being able to understand the interaction between the land and the sea\, the human impact\, and other factors that may affec t the coasts employing data analysis.\nSince ancient times\, coasts have p layed a fundamental part in human civilization\, being a critical element for development\, economy\, transportation\, and tourism. In addition\, co asts host an important portion of global biodiversity and richness\, which is endangered by global warming and pollution. Thus creating a digital tw in of the coast is an important task\, in order to understand physical phe nomena happening on the land and on the sea\, as well as the interaction b etween those two elements\, and the role of human activity on it. Although this work is focused on the Italian Coast\, its modularity allows the pil ot to be extensible and reproducible for any coast in the world.\nAs the i dea is to address big data of good quality and interoperability\, by quali ty data we mean authoritative\, reliable\, and validated data\, and intero perability refers to data that can be easily used and integrated on any pl atform. Good quality data is found all over the internet\, but the biggest and most reliable homogeneous open data source for the European continent is Copernicus. Copernicus provides six services that focus on Land\, Ocea n\, Atmosphere\, Climate Change\, Security\, and Disaster Management. Two services are of great importance for studying the physical phenomena of co asts: the Copernicus Land Monitoring Service (CLMS: https://land.copernicu s.eu/)\, and the Copernicus Marine Environment Monitoring Service (CMEMS: https://marine.copernicus.eu/). The WorldPop population counts dataset (ht tps://www.worldpop.org/)\, which is also open data made available by The U niversity of Southampton\, is used for understanding human impact. The CME MS provides data on physical and biogeochemical variables for the sea whil e CLMS provides data on land cover and land use. Data ranges as far as 198 7 to the present\, its spatial resolution varies from 0.042° (approx. 3.5 km at the latitude of Italy) for biogeochemical variables to 10 meters for land cover and is offered as monthly\, daily\, and hourly averages. World pop population counts are available yearly from 2000 to 2020 and have a sp atial resolution of 3 arcseconds\, which correspond to approximately 70 me ters at the latitude of Italy. \nInteroperability is achieved by standards . All data that is georeferenced and that is available online should follo w certain guidelines and standards\, which are managed by the Open Geospat ial Consortium (OGC) and ISO (International Organization for Standardizati on). But mere standards do not completely solve the problem of interoperab ility because the way in which each data source presents its data is diffe rent\, meaning that to achieve full integration an additional step is nece ssary. In the developed platform\, this problem is addressed using a media tor-wrapper architecture\, where a mediator receives generic requests and calls the specific wrapper\, which is in charge of communicating with the specific data source and retrieving the data\, to pass it again to the med iator which translates it back to generate a generic response. In this way \, additional data sources can be integrated by building new wrappers. Dat a visualization is managed by the open-source web mapping library OpenLaye rs\, which can correctly display any type of georeferenced data that follo ws OGC standards.\nOther platforms exist that use online data sources to d isplay data and to build knowledge around it. E.g.\, CMEMS has its own pla tform (https://myocean.marine.copernicus.eu/data) for visualizing all its datasets and allows users to build plots and to extract subsets of the dat a at different times and elevations\; CLMS also allows users to see the da tasets and retrieve parts of them within their website (Corine Land Cover example: https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 )\; other more complex platforms consume multiple data sources and build A I models around them such as the ARIES (Artificial Intelligence for Enviro nment & Sustainability) platform (https://seea.un.org/content/aries-for-se ea) that is focused on ecosystem accounting. The main difference between t hose platforms and the digital twin of the Italian coast in development is the focus on a single type of location\, which makes models more specific and available data more accurate and localized. It is also possible to pe rform basic statistical analysis and to observe relations between layers\, being able to visualize results as plots\, tables\, and histograms\, as w ell as being able to download the produced data. Another novelty is the ad dition of demographic data to add the human factor to the analysis.\nAs th is is a work in progress (available online on https://dte-italycoast.herok uapp.com/)\, more features are planned\, such as capabilities to share pro jects and analysis\, adding more data sources\, AI models\, and more sophi sticated analysis than the current basic statistical analysis. DTSTAMP:20260316T152422Z LOCATION:Academic online SUMMARY:Building a digital twin of the Italian coasts - Juan Pablo Duque Or doñez URL:https://talks.osgeo.org/foss4g-2022-academic-track/talk/RKDK7X/ END:VEVENT END:VCALENDAR