Artificial Intelligence for Automated Mapping of Land Use and Land Cover


Hard Facts

Land use and land cover (LULC) information is an important fundament for planning of sustainable urban development. AI4LULC will contribute to innovative and automated LULC mapping methods based on state-of-the-art machine and deep learning paradigms, where training is based on Copernicus data such as Sentinel-1, Sentintel-2, or the VHR Image Mosaic. Global, pan-European, and national use cases are taken into consideration to demonstrate the scalability of the approach and to boost the scientific and economic exploitation potential.

Duration: 2021-09-01 to 2023-08-31
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Service readiness level: Tested/piloted

I would like to be contacted by:
  • Business/Marketing/Media Partners
  • Commercial Clients
  • Governmental Clients
  • Research Partners
Addressed SDGs:


Contact name: Thomas Menzel-Berger (Research Management)