Assessment of Relationship between Vegetation and Land Surface Temperature of Selected Tehsil in Dist-Raipur, Chhattisgarh, India using GIS&Remote Sensing Technique

These Landsat has given a lot of possibilities to study the land processes using remote sensing. Land surface temperature data contributes to many phenomenon’s such as heat balance study, urban land use, land cover, LST also provides key inputs about climate change trends and framing the climate models. This study has been made to estimate LST over the selected Tehsil in Raipur district of Chhattisgarh, India using LANSAT-8 data. The LST has been estimated with respect to normalized difference vegetation index (NDVI) values determined from the Red (Band 4) and Near Infrared bands (B and 5). The land surface emissivity (LSE) is retrieved directly from the Thermal infrared band (band 10, 11). The present study focuses on Arc GIS Raster functions and Raster Calculation.