Released
Dataset

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

Cite as:

Okujeni, Akpona; van der Linden, Sebastian; Hostert, Patrick (2016): Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Datasets). V. 1.2. GFZ Data Services. http://doi.org/10.5880/enmap.2016.008

Status

I   N       R   E   V   I   E   W : Okujeni, Akpona; van der Linden, Sebastian; Hostert, Patrick (2016): Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Datasets). V. 1.2. GFZ Data Services. http://doi.org/10.5880/enmap.2016.008

Abstract

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 gradient. 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. The following files were updated:

Folder “BerlinUrbGrad2009_01_image_products\01_image_products”
Replacement of header files of the four image products: (1) EnMAP01_Berlin_Urban_Gradient_2009.hdr, (2) EnMAP02_Berlin_Urban_Gradient_2009.hdr, (3) HyMap01_Berlin_Urban_Gradient_2009.hdr, (4) HyMap02_Berlin_Urban_Gradient_2009.hdr.

Folder “BerlinUrbGrad2009_02_additional_data\02_additional_data\land_cover”:
Replacement of header files of the two reference land cover images (Land-Cov_Layer_Level1_Berlin_Urban_Gradient_2009.hdr, Lan d-Cov_Layer_Level2_Berlin_Urban_Gradient_2009.hdr).
Replacement of the shapefile (incl. extensions) representing the references polygons (LandCov_Vec_polygons_Berlin_Urban_Gradient_2009.shp, *.dbf, *.prj, *.sbn, *.sbx, *.shp.xml, *.shx).

Additional Information

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.

Contact

Contributors

German Aerospace Center DLR; GFZ German Research Center for Geosciences; Foerster, Saskia; Elger, Kirsten

Keywords

imaging spectrometry, hyperspectral, EnMAP, HyMap, urban land cover, unmixing, classification, regression, support vector machines, multi-scale

GCMD Science Keywords

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          • affiliation: Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany
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          • affiliation: Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany
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      • publisher: GFZ Data Services
      • publicationYear: 2016
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        • subject: hyperspectral
        • subject: EnMAP
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        • subject: classification
        • subject: regression
        • subject: support vector machines
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          • affiliation: German Aerospace Center DLR
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          • affiliation: GFZ German Research Center for Geosciences,Potsdam. Germany
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        • description (descriptionType=Other): 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.
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        • fundingReference
          • funderName: Deutsche Forschungsgemeinschaft
          • funderIdentifier (funderIdentifierType=Crossref Funder ID): http://doi.org/10.13039/501100001659
  • dif:  /  download xml
    • DIF (xsi:schemaLocation=http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/ http://gcmd.nasa.gov/Aboutus/xml/dif/dif_v9.8.2.xsd)
      • Entry_ID: 10.5880/enmap.2016.008
      • Entry_Title: Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Datasets)
      • Data_Set_Citation
        • Dataset_Creator: Okujeni, Akpona; van der Linden, Sebastian; Hostert, Patrick
        • Dataset_Title: Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Datasets)
        • Dataset_Release_Date: 2016
        • Dataset_Release_Place: Potsdam, Germany
        • Dataset_Publisher: GFZ Data Services
        • Online_Resource: http://dx.doi.org/10.5880/enmap.2016.008
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: SPECTRAL/ENGINEERING
        • Term: 
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: BIOSPHERE
        • Term: TERRESTRIAL ECOSYSTEMS
        • Variable_Level_1: URBAN LANDS
      • ISO_Topic_Category: geoscientificInformation
      • Keyword: imaging spectrometry
      • Keyword: hyperspectral
      • Keyword: EnMAP
      • Keyword: HyMap
      • Keyword: urban land cover
      • Keyword: unmixing
      • Keyword: classification
      • Keyword: regression
      • Keyword: support vector machines
      • Keyword: multi-scale
      • Spatial_Coverage
        • Southernmost_Latitude: 52.3140
        • Northernmost_Latitude: 52.5183
        • Westernmost_Longitude: 13.2800
        • Easternmost_Longitude: 13.3142
      • Spatial_Coverage
        • Southernmost_Latitude: 52.3193
        • Northernmost_Latitude: 52.5243
        • Westernmost_Longitude: 13.2561
        • Easternmost_Longitude: 13.3384
      • Spatial_Coverage
        • Southernmost_Latitude: 52.3193
        • Northernmost_Latitude: 52.5243
        • Westernmost_Longitude: 13.2561
        • Easternmost_Longitude: 13.3384
      • Data_Center
        • Data_Center_Name
          • Short_Name: Deutsches GeoForschungsZentrum GFZ
          • Long_Name: GFZ
        • Personnel
          • Role: DATA CENTER CONTACT
          • Last_Name: Deutsches GeoForschungsZentrum GFZ
      • Summary
        • Abstract: 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 gradient. 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. The following files were updated: Folder “BerlinUrbGrad2009_01_image_products\01_image_products” Replacement of header files of the four image products: (1) EnMAP01_Berlin_Urban_Gradient_2009.hdr, (2) EnMAP02_Berlin_Urban_Gradient_2009.hdr, (3) HyMap01_Berlin_Urban_Gradient_2009.hdr, (4) HyMap02_Berlin_Urban_Gradient_2009.hdr. Folder “BerlinUrbGrad2009_02_additional_data\02_additional_data\land_cover”: Replacement of header files of the two reference land cover images (Land-Cov_Layer_Level1_Berlin_Urban_Gradient_2009.hdr, Lan d-Cov_Layer_Level2_Berlin_Urban_Gradient_2009.hdr). Replacement of the shapefile (incl. extensions) representing the references polygons (LandCov_Vec_polygons_Berlin_Urban_Gradient_2009.shp, *.dbf, *.prj, *.sbn, *.sbx, *.shp.xml, *.shx).
      • Metadata_Name: DIF
      • Metadata_Version: 9.8.2
  • escidoc:  /  download xml
    • resource
      • title (xml:lang=eng): Berlin-Urban-Gradient dataset 2009 - An EnMAP Preparatory Flight Campaign (Datasets)
      • date (dateType=Created): 2016-03-10
      • creator
        • creatorName: Okujeni, Akpona
        • affiliation: Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany
      • creator
        • creatorName: van der Linden, Sebastian
        • affiliation: Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany
      • creator
        • creatorName: Hostert, Patrick
        • affiliation: Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany

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        License: CC BY-SA 4.0

        Dataset Description

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