Title :
Remote sensing data assimilation for regional crop growth modelling in the region of Bonn (Germany)
Author :
Heinzel, V. ; Waske, B. ; Braun, M. ; Menz, G.
Author_Institution :
Univ. of Bonn, Bonn
Abstract :
The study investigates the possibilities to improve the performance of CERES-Wheat crop growth model by assimilating information derived by optical and SAR Earth observation data. Biophysical parameter retrieval was done with the water cloud model for SAR data and the CLAIR model was applied to multispectral imagery. The CERES -Wheat model was calibrated using ground truth information. The re-initialization method with an adjustable planting date was selected as assimilation strategy. Modelling results generally improved by using all different kind of remote sensing data. However, best results were achieved by using information of the optical sensors only and not by a synergetic time series of all available data.
Keywords :
crops; data assimilation; geophysical signal processing; radar imaging; remote sensing by radar; spectral analysis; synthetic aperture radar; vegetation mapping; Bonn; CERES-wheat crop growth model; CLAIR model; Germany; SAR Earth observation data; biophysical parameter retrieval; data assimilation; ground truth information; information assimilation; multispectral imagery; optical data; optical sensors; regional crop growth modelling; remote sensing; water cloud model; Biomedical optical imaging; Clouds; Crops; Data assimilation; Earth; Image retrieval; Information retrieval; Multispectral imaging; Optical sensors; Remote sensing; CERES-Wheat; SAR; biophysical parameters; data assimilation; optical data;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423636
