COMPARATIVE STUDY OF NDVI AND SAVI VEGETATION INDICES IN ANANTAPUR DISTRICT SEMI-ARID AREAS

Remote sensing data is very important source for monitoring and mapping vegetation cover. The various vegetation Indices (VI) are developed to monitor the vegetation distribution and vegetation phenology. Normalized Difference Vegetation Index (NDVI) is most commonly used vegetation index where, NDVI has limitation density vegetation cover with low and medium levels. The Soil-Adjusted Vegetation Index (SAVI) combination of slope-based and distance based vegetation indices often mentioned as Optimized indices. The aim of this paper is to compare NDVI and SAVI with different land use. The study area Anantapur district is a semiarid zone and selected 200 samples with different land cover are selected. The Land sat images are used for this study and the value of the indices was compared. Results showed that the soil factor of 0.2, 0.5 and 0.9 was comparable to NDVI result when the 0.5 is best suited with vegetation and 0.9 is best suited soil factor for the land where the soil influence is more. The SAVI is best suited vegetation index in semi arid areas.