Comparison of Vegetation and Water Indices Calculated on IRS LISS-3 and IRS-P6 AWiFS Data

Ajay Singh Tomar

doi:10.37591/joge.v1i1.4025

Abstract

Remote sensing technologies provide stereo images which allow topographic mapping and the functionality gives not only static display but also analytical process. Vegetation indices and water indices have been proposed over last decades as the most suitable vegetation and water indices for a given remote sensing application. In this research study, the suitability and results show these indices (SVI, NDVI, SWI and NDWI) can apply on LISS-3 and Awifs, more comparisons view can get it from Awifs sensor. Using a Geographical Information System (GIS) it is possible to relate location to vegetation and water bodies cover. Indices have become a key for planning, conservation and management of any ecosystem. This has resulted in the habitat quality of varied aquatic flora and funa. Moreover, the seasonal changes affect the land use/land cover characteristics of the landscape. This powerful approach is opening up new opportunities to study the vegetation mapping with sensor comparisons. This information used to enhance the regions for identifying vegetation cover/mapping area. Keywords: IRS-LISS-3, IRS-P6 AWiFS, indices, SVI, NDVI, SWI, NDWI, sensor comparison