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Development of methods for mapping urban surfaces, using EnMAP and multisensor data (EnFusionMap)

The main objective of the joint research project is the development of adequate methods for analyzing EnMap data and focus on the enhanced monitoring of urban areas. The project takes place in close cooperation with project partners at the University Bochum. Our subproject aims at the development of adequate methods for (i) (subpixel)-classification of urban areas, using hyperspectral data and (ii) fusion of hypespectral data with TerraSAR-X and RapidEye data. Various approaches for sub-pixel analysis of EnMAP were tested. Moreover, Convolutional Neural Networks (CNN) were adapted for mapping local climate zones.

Project Duration: 11/2014 - 02/2018

Principal Investigator: Prof. Dr. Björn Waske

Projects staff: Johannes Rosentreter

Project partners:

-       Prof. Dr. Carsten Jürgens, Ruhr-Universität Bochum, Geographisches Institut, AG Geomatik

-       Dr. Uta Heiden, Deutsches Fernerkundungsdatenzentrum (DLR-DFD), Team „Angewandte Spektroskopie“

Funding:  German Aerospace Centre (DLR) - Project Management Agency (Gefördert durch die Bundesrepublik Deutschland, Zuwendungsgeber: Raumfahrt-Agentur des Deutschen Zentrums für Luft- und Raumfahrt e.V. mit Mitteln des Bundesministeriums für Wirtschaft und Technologie (BMWi) aufgrund eines Beschlusses des Deutschen Bundestages unter dem Förderkennzeichen 50 EE 1343).