A NEW APPROACH USING VARIOUS REMOTE SENSING DATA FOR VEGETATION PARAMETER RETRIEVAL AS INPUT TO ECOSYSTEM MODELS

摘要

The objective of the following outline is to propose a method of combining various remote sensing data and to point out the potential of diverse remote sensing data as an input to local, regional or global ecosystem models. The combination of different data sources including several observing geometries and an ensured comparability of the retrieved data products demand for a uniform baseline of normalized ground reflectance data (geometrically, atmospherically, and BRDF corrected), which also provides the possibility of comparison between different sensors and observing geometries for calibration/validation purposes. Possible disadvantages of a spatial and spectral information loss have to be assessed, being a result of the necessary resampling and spectral convolution.