Assessment of Land Surface Temperature Variation in Anaiyur Catchment Using Remote Sensing Algorithm

Abstract

Land Surface Temperature (LST) is one of the important indicators to understand the spatial changes and surface processes on the earth surface that leads to actual assessment of environmental quality from local to global scales. In this paper, the thermal infrared bands of the Landsat 8 data were used to retrieve Land Surface Temperature for Anaiyur catchment located at Ramanathapuram district. Two images of April 05, 2017 and August 22, 2019 were used in this study to assess the land surface temperature. The results showed that LST from April, 2017 has higher temperature than August, 2019 because of the different season. The period of images taken were based on two different seasons. Overall, Remote sensing algorithms were effective for monitoring and analysing spatially and temporal variation of Land Surface Temperature.