10.5880/enmap.2016.002 Okujeni, Akpona Akpona Okujeni 0000-0003-4558-5885 Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany van der Linden, Sebastian Sebastian van der Linden 0000-0001-6576-8377 Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany Hostert, Patrick Patrick Hostert 0000-0002-5730-5484 Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany GFZ Data Services 2016 imaging spectrometry hyperspectral EnMAP HyMap urban land cover unmixing classification regression support vector machines multi-scale EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > URBAN LANDS EARTH SCIENCE > SPECTRAL/ENGINEERING Foerster, Saskia Saskia Foerster 0000-0001-7752-7394 GFZ German Research Centre for Geosciences, Potsdam, Germany Elger, Kirsten Kirsten Elger 0000-0001-5140-8602 GFZ German Research Centre for Geosciences, Potsdam, Germany Okujeni, Akpona Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany van der Linden, Sebastian Universität Greifswald, Geography Department, Greifswald, Germany 2016-03-10 2009-08-20T09:44:29/2009-08-20T09:49:53 2009-08-20T10:07:14/2009-08-20T10:12:07 2009-08-20 Dataset 10.1016/j.rse.2014.11.009 10.3390/rs6076324 10.1016/j.rse.2013.06.007 10.3390/rs70708830 10.1109/JSTARS.2012.2188994 10.2312/enmap.2016.002 https://www.enmap.org/data_tools/flights/ 10.5880/enmap.2016.008 https://www.enmap.org/ CC BY 4.0 Berlin-Urban-Gradient is a ready-to-use imaging spectrometry dataset for multi-scale unmixing and hard classification analyses in urban environments. The dataset comprises two airborne HyMap scenes at 3.6 and 9 m resolution, a simulated spaceborne EnMAP scene at 30 m resolution, an im-age endmember spectral library and detailed land cover reference information. All images are pro-vided as geocoded reflectance products and cover the same subset along Berlin’s urban-rural gra-dient. The variety of land cover and land use patterns captured make the dataset an ideal play-ground for testing the transfer of methods and research approaches at multiple spatial scales.


Version HIstory: This version of the Berlin-Urban-Gradient-Dataset was updated to account for errors in the spatial referencing. This included six updated header files (.hdr) and two updated shapte files. See details in the new version and the associated data report.

27 Feb 2025: change to CC BY 4.0 License.
The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.






HyMap01 Berlin-Urban-Gradient (3,6 m spatial resolution) 13.28 13.3142 52.314 52.5183 HyMap02 Berlin-Urban-Gradient (9 m spatial resolution) 13.2561 13.3384 52.3193 52.5243 EnMAP Berlin-Urban-Gradient (30 m spatial resolution) 13.2561 13.3384 52.3193 52.5243 Bundesministerium für Bildung und Forschung http://doi.org/10.13039/501100002347 Bundesministerium für Wirtschaft und Technologie http://doi.org/10.13039/501100002765 Deutsche Forschungsgemeinschaft http://doi.org/10.13039/501100001659