Analyses of Chris Data of the Aquiferex Test-sites in Tunisia Applying Radiative Transfer Models
نویسندگان
چکیده
The evaluation of CHRIS data of the AquiferEx testsites in Tunisia concerning their information content for advanced land use classifications will be presented. As first essential step, the data need a careful atmospheric correction. A new approach is developed for the two test-sites where atmospheric measurements were missing. The atmospheric parameters i.e. the optical thickness and the water vapour were derived from the CHRIS data themselves using the hyperspectral and directional capabilities of the sensor. The methodology is presented and resulting BRDF functions of this arid region are demonstrated. The classification approach uses the soil-leaf-canopy reflectance model SLC to interpret the signatures measured by CHRIS. Bio-geophysical land surface properties like LAI and surface soil moisture are retrieved that in a next step are translated into land use classes. Comparison with results obtained from the hyperspectral airborne sensor will be given. Synergistic and complementary use of SAR data is investigated.
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