Community Research and Development Information Service - CORDIS

Algorithmic methods for mapping ecosystems recovery and degradation according to their multi-temporal and multi-spectral signatures

Land degradation in Mediterranean regions following desertification processes have attracted wide scientific attention due to its climatic, geomorphic and antropgenic consequences. However, there is relatively little empirical evidence regarding patterns of eco-geomorphic changes taking place during degradation and recovery processes. Black and white air photographs provide one of the few data sources for investigating erosion and recovery processes at a regional scale during the last 50 or 70 years. However, there are severe obstacles on their use for that purpose due to limitations on photographs viability in terms of illumination geometry and their radiometric properties. Relative calibration methods were then developed allowing for detection of significant between photographs changes. Image processing and Geographical Information (GIS) techniques were then developed for studying corresponding changes in soil erodibility and landscape fragmentation. The second research avenue was concerned with developing multi-spectral techniques for detecting soil erodibility, its bio-chemical properties and its multi-spectral reflectance distribution were assessed. A new model was then developed allowing prediction of soil erodibility potential from Landsat TM data.

Reported by

Bar-Ilan University
52900 Ramat-Gan
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