Remote sensing based retrieval of biomethane potential (BMP) of crops, with regard to the EnMap mission
The project aims on the development of methods to map and quantify the biomethane potential of crops (PI: B. Waske; funded by: DLR / BMWi FKZ 50 EE 1011, closed in 2013).
EnMap-BMP is a joined research project with Prof. Dr. T. Udelhoven, University of Trier. The project aims on the development of methods to map and quantify the biomethane potential of crops. The sub-project deals with the development of adequate classification and regression strategies for an enhanced mapping of energy crops and retrieval of biophysical parameters by combining SAR and hyperspectral images. The specific aims of the projects are (i) development of a one-class-classifier (OCC) for mapping energy crops, (ii) adaption of recent regression methods (e.g., support vector regressions) and further development of ensemble based regression methods, and (iii) development of innovative concepts for sensor fusion to estimation biophysical parameters with higher accuracy.
Structural-ecolgical mapping of river courses, using TerraSAR-X and RaipdEye data
The project targets fundamental mapping requirements addressed by the EU water framework directive, using high-resolution optical and SAR data (PI: B. Waske / M. Braun – University Erlangen-Nürnberg, funded by: DLR / BMWi FKZ 50EE0917, closed in 2012).
The joined research project (Planungsbüro Zumbroich, Bonn) aimed on the development of robust and (semi-)automated methods that can be used for pre-mapping in structure-ecological surveys of river courses. Additionally, we traget change detection methods that will be specifically adapted in order to verify if proposed renaturation actions have been carried out without dedicated field surveys. The project is based on a combined analysis of SAR and multispectral remote sensing data from the high-resolution satellite systems TerraSAR-X and RapidEye. Therefore the project targets fundamental mapping requirements addressed by the EU water framework directive.