#205 · closed · 1 comments
I am currently working with the Knowledge Center for Earth Observation and we have begun developing an Earth Observation (EO) data model. I am interested in integrating the INSPIRE Data Model (https://github.com/INSPIRE-MIF/technical-guidelines/tree/main/data ), but I am facing challenges in finding a suitable theme for this integration. Do you have any suggestions on how to approach this situation or any ideas on how to proceed?
@meriamlahsaini: while EO is not a distinct INSPIRE theme, several themes can align depending on your data type and use case. Below some hints: - Orthoimagery (OI) -Directly relevant if you're working with satellite images or derived raster products. - Land Cover (LC) -Suitable for EO products that classify surface features (e.g., CORINE-type datasets, NDVI-based vegetation monitoring). - Environmental Monitoring Facilities (EF) -Good fit for sensor platforms and derived observation data (e.g., pollutant monitoring, ecosystem status indicators). - Soil (SO), Land Use (LU), or Agricultural and Aquaculture Facilities (AF)- Relevant if your EO data supports sector-specific analysis (e.g., farming practices, land use chang-es). - Natural Risk Zones (NZ): For EO supporting disaster monitoring or hazard mapping (e.g., floods, fires). - Oceanographic Geographical Features (OF): For EO data focused on marine/coastal areas. In addition, you could extend the INSPIRE data themes to suit your specific needs (see https://inspire-extensions.wetransform.to/)