OPENAIRE OpenAire Datacite ZENODO Open Access 2024-10-20 The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.   This data was prepared according to the methodology of SERENA Soil Sealing cookbook. For Austria, the application was carried out at regional scale. The map of soil sealing (soil threat) was based on classification of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images. EJP SOIL soil threat soil sealing remote sensing Austria 2018 D3.3 SERENA Foldal, Cecilie 2024-10-22 The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.   This data was prepared according to the methodology of SERENA Soil Sealing cookbook. For Austria, the application was carried out at regional scale. The map of soil sealing (soil threat) was based on classification of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images. SERENA_EJPSOIL_AT_SOILSEALING_SEALINGDEGREE 10.5281/zenodo.13969874 dataset https://doi.org/10.5281/zenodo.13969874 862695