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User-driven requirements for remote sensing data are difficult to define, especially details on geometric, spectral and radiometric parameters. Even more difficult is a decent assessment of the required degrees of processing and corresponding data quality. It is therefore a real challenge to appropriately assess data costs and services to be provided. In(More)
Two FP6 initiatives i) HYRESSA, hyperspectral remote sensing in Europe specific support action, and ii) EUFAR, European Facility for Airborne Research in Environmental and Geo-sciences, have joined forces in FP7. The FP7 Integrating Activity EUFAR (including HYRESSA) is now a network of 33 European airborne data providers and experts in airborne(More)
The processing of airborne hyperspectral imagery introduces uncertainty. In order to quantify the uncertainty in the resulting hyperspectral imagery, a concept for Uncertainty Propagation Analysis (UPA) was developed and applied. The UPA entails the Monte Carlo stochastic simulation of uncertain components of the Processing and Archiving Facility (PAF),(More)
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