Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Datasets)

DOI

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.

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.

Identifier
DOI https://doi.org/10.5880/enmap.2016.002
Related Identifier https://doi.org/10.1016/j.rse.2014.11.009
Related Identifier https://doi.org/10.3390/rs6076324
Related Identifier https://doi.org/10.1016/j.rse.2013.06.007
Related Identifier https://doi.org/10.3390/rs70708830
Related Identifier https://doi.org/10.1109/JSTARS.2012.2188994
Related Identifier https://doi.org/10.2312/enmap.2016.002
Related Identifier http://www.enmap.org/?q=flights
Related Identifier https://doi.org/10.5880/enmap.2016.008
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6173
Provenance
Creator Okujeni, Akpona (Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany); van der Linden, Sebastian (Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany); Hostert, Patrick (Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany)
Publisher GFZ Data Services
Contributor Okujeni, Akpona; van der Linden, Sebastian; Hostert, Patrick; German Aerospace Center (DLR); GFZ German Research Center for Geosciences; Foerster, Saskia; Elger, Kirsten
Publication Year 2016
Funding Reference Bundesministerium für Bildung und Forschung; Bundesministerium für Wirtschaft und Technologie; Deutsche Forschungsgemeinschaft
Rights CC BY-SA 4.0
OpenAccess true
Contact Okujeni, Akpona (Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany); van der Linden, Sebastian (Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany)
Representation
Language English
Resource Type Dataset
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (13.280W, 52.314S, 13.314E, 52.518N); HyMap01 Berlin-Urban-Gradient (3,6 m spatial resolution); HyMap02 Berlin-Urban-Gradient (9 m spatial resolution); EnMAP Berlin-Urban-Gradient (30 m spatial resolution)