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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:20260517T145637Z
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/
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