Publications Repository - Helmholtz-Zentrum Dresden-Rossendorf

This study aims to assess the potential of sev-eral ancillary input data for the improvement of unsuper-vised land cover change detection in arid environments. The study area is located in Central Iraq where deserti-fication has been observed. We develop a new scheme based on known robust indices. We employ Landsat (multispectral scanner, thematic mapper, and enhanced thematic mapper) satellite data acquired in 1976, 1990, and 2002. We use the Normalized Deferential Vegetation Index, Normalized Differential Water Index (NDWI), Salinity Index (SI), and Eolian Mapping Index. Two new equations were applied for the SI and the NDWI indices. Validation was performed using ground truth data collected in 16 days. We show that such an ap-proach allows a robust and low-cost alternative for pre-liminary and large-scale assessments. This study shows that desertification has increased in the study area since 1990.