Quantitative Analysis Of Agricultural Parameters Using Ger-imaging-spectroscopy Data Of The Eisac-89 Campagne

During the EISAC-89 Imaging-Spectroscopy Campagne data was acquired of an agricultural test site in the Upper Rhine Valley near the City of Freiburg using the GER-IS-Scanner. An intensive ground-check of plant parameters was carried out of a 24 km2 subset of the acquired image. The ground truth data was integrated in a Geographical Information System. The GER-data was radiometrically corrected using LOWTRAN-7 and geometrically registrated on the digital maps of the agricultural parameters. To detect correlations between the measured spectra and species-dependent plantparameters the following methods were used: spectra were extracted; the correlation-matrix in the visible and NIR was calculated; the reflectance red-edge was modelled through an inverted Gaussian fit; correlations of the red-edge parameters with agricultural parameters and the soil type were conducted.