[01] Nancy Ibrahim Abdalla, Sudan University of Science and Technology, College of Forestry& Range Science, Khartoum, Sudan. [02] Abdelaziz Karamalla Gaiballa, Sudan University of Science and Technology, College of Forestry& Range Science, Khartoum, Sudan. [03] Christoph Kätsch, Georg-August University, Faculty of Resource Management, Gottingen, Germany. [04] Mahgoub Sulieman, Sudan University of Science and Technology, College of Forestry& Range Science, Khartoum, Sudan. [05] Abdalbasit Mariod, College of Science & Arts, University of Jeddah, Alkamil, KSA; Sudan University of Science and Technology, College of Agricultural Studies, Khartoum North, Sudan.

This study was conducted to investigate the use of remote sensing data to distinguish between different rangeland sites. Three rangeland sites were selected based on soil types and variation in vegetation cover. Normalized Difference Vegetation Index and The soil-adjusted vegetation index were used. All selected rangeland sites exhibited NDVI and SAVI. Results showed that there were a number of important implications regarding using NDVI and SAVI. The results revealed that, the characteristics and different types of soils characterize different rangeland land sites as basic units for assessing special change when monitoring rangelands in semi-arid areas. Therefore, for better differentiation capacity we need to increase our understanding of vegetation structure and soil type in each range site.

Semiarid Areas, Natural Rangeland, Soil Types, Remote Sensing, MODIS, Time-Series, NDVI, SAVI

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