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

Description: 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).

Global identifier:

Doi(
    "10.5880/enmap.2016.008",
)

Types:

Origins: /Wissenschaft/GFZ

Tags: Flächennutzung ? Landbedeckung ? Klassifikation ? EnMAP ? HyMap ? hyperspectral ? imaging spectrometry ? multi-scale ? regression ? support vector machines ? unmixing ? urban land cover ?

License: cc-by-sa/4.0

Language: Englisch/English

Organisations

Issued: 2016-01-01

Time ranges: 2016-01-01 - 2016-01-01

Status

Quality score

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