Acquisition of a Hyperspectral/Multiangular Dataset in Support of a Land Surface Processes Mission: The Daisex Campaigns in La Mancha, Spain

Details Acquisition of a Hyperspectral/Multiangular Dataset in Support of a Land Surface Processes Mission: The Daisex Campaigns in La Mancha, Spain Acquisition of a Hyperspectral/Multiangular Dataset in Support of a Land Surface Processes Mission: The Daisex Campaigns in La Mancha, Spain

Jun 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.474e..15m&link_type=abstract

Proceedings of the SPECTRA Workshop - The concept of a space-borne Earth Observation Mission addressing the terrestrial componen

Physics

Scientific paper

In the framework of the preparation of a future spaceborne Land Surface Processes mission, the European Space Agency (ESA) has carried out the airborne campaigns DAISEX (Digital Airborne Imaging Spectrometer Experiment), to demonstrate the retrieval of key biophysical variables from hyperspectral/multiangular observations covering the spectral range from the visible to the thermal infrared. To provide the required spectral information, several available instruments were used: DAIS, HYMAP, ROSIS and POLDER. Since no sensor exists providing the required spectral information with multiangular capabilities, a combination of strategies was used to get adequate multiangular information. Several angular views are available for each ground point using POLDER and wide-angle field-of-view hyperspectral sensors such as HyMAP, and flying several lines for different solar elevations along and across the solar principal plane. Flight lines and flight times were carefully selected to acquire data in hot-spot and darkspot viewing configurations in order to maximise angular information and to cover the maximum range of illumination/viewing angular conditions. Corresponding in-situ data were acquired simultaneously to each flight. Information extraction techniques from the hyperspectral/multiangular datasets are described, and the different role of the spectral and angular information is discussed in the context of the retrieval of biophysical variables, where both spectral and angular information play a complementary role in the retrievals.

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