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ANALYSES OF HYPERSPECTRAL AND DIRECTIONAL DATA FOR AGRICULTURAL MONITORING USING THE CANOPY REFLECTANCE MODEL SLC PROGRESS IN THE UPPER RHINE VALLEY AND BAASDORF TEST-SITES

By Heike Bach, Silke Begiebing, Daniel Waldmann and Britta Rowotzki

Abstract

CHRIS data of the years 2003 and 2004 of two agricultural test-sites in Germany were analyzed with the goal to evaluate the potential of hyperspectral and directional remote sensing data to deliver input information for precision agriculture. Multitemporal observations are available for the Upper Rhine Valley test-site along the German/French border for the year 2003. After geometric correction of the multiangular data set and atmospheric correction, the obtained reflectance spectra were compared to optical radiative transfer simulations with SLC. SLC is an extended version of the canopy reflectance model GeoSAIL. Directional reflectance spectra were extracted and the angular variations compared to the model results. BRDF analyses illustrate the spectral properties of the BRDF for different land uses. As results from the optical modeling, crop parameters like LAI and chlorophyll content are retrieved from the CHRIS data and provided as spatial maps. The directional measurements additionally contain information on the canopy structure that is crop specific, but also changes with phenological development and sometimes even with cultivars. These crop parameters will serve as input parameters for plant production and management models. 1

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.192.4917
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