Taxonomy to harmonize GSAA data

GeoSpatial Aid Application (GSAA) Data are self-declared crop data from farmers in EU countries for subsidy control. Each country has its own system and granularity when it comes to labelling crop classes which creates problems. When harmonizing the data, aspects can get lost or oversimplified as well as create a bias for certain classes. Data-driven methods need a dataset that represents the distributions in the real world. To solve these problems, we created the Hierarchical Crop and Agriculture Taxonomy (HCAT) based on the EAGLE-Matrix and EU regulations.

There are currently three versions of HCAT. Please refer to the side bar for HCAT2 and HCAT3 (current version).

Chair of Remote Sensing Technology


Prof. Dr. rer. nat. habil.
Marco Körner
Technical University of Munich
Arcisstraße 21
80333 München
Tel: +49 89 289 22671
Fax: +49 89 289 23202

Deutsche Zentrum für Luft- und Raumfahrt e.V.

TUM -

DLR Raumfahrtagentur
Königswinterer Str. 522-524
D-53227 Bonn
Tel: +49 228 447-0

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