CHARACTERISING AND MONITORING SEMI-ARID WETLANDS USING MULTI-ANGLE HYPERSPECTRAL AND MULTISPECTRAL DATA

Wetlands in semi-arid regions of Central Spain can undergo extreme changes from the wet to the dry season and the anthropogenic influences are a major concern in maintaining these natural ecosystems in the future. The objective of this work is to apply multi-sensor data to determine and monitor characteristics of semi-arid wetlands within Central Spain. This includes the use of multi-angle hyperspectral data from the Proba-1 CHRIS sensor and multispectral data from Terra/ASTER and Landsat/ETM+. Analyses of the spectral characteristics at the individual viewing angles and from different acquisition dates show that wetland information on palustrine vegetation, sediments and wetland soils can be obtained. Supervised classification has provided an overall distribution of these wetland characteristics and is a major support for the ongoing work.