Deep learning for satellite-based land use and land cover reconstruction
(B03)
Subject Area
Geodesy, Photogrammetry, Remote Sensing, Geoinformatics, Cartography
Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Term
since 2022
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 450058266
The goal of this project is the determination of land use and land cover from optical satellite data for specific points in time (as a snapshot) or for longer periods of time (e.g. one season). For this purpose, deep neural networks will be developed that take into account the specific biogeographical characteristics of the regions of interest in order to ensure a high generalization capability. Furthermore, spatiotemporal data gaps will be closed to improve the data basis for the developed methods and data and model uncertainties for the derived land use and land cover maps will be determined.
DFG Programme
Collaborative Research Centres
