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The study evaluates land degradation in a semi-arid Mediterranean area of Morocco using ASTER data and two remote sensing techniques: Spectral Angle Mapping (SAM) and Spectral Mixture Analysis (SMA). Results indicate that SMA outperforms SAM in accuracy for mapping land degradation, with an overall accuracy of 89% compared to 73% for SAM. The findings highlight the potential of ASTER data for monitoring soil degradation in regions affected by anthropic activities.

Author

colloque.erosion2011

Language

EN