Estimation of Land Surface Temperature for Rahuri Taluka, Ahmednagar District (MS, India), Using Remote Sensing Data and Algorithm

Abstract

As an outcome of the global warming influence on the atmosphere, India faces grave problem like the rest of the globe. Land surface temperature (LST) is more significant for urban LULC (land use/land cover), climate change, crop water requirement, temperature measurement studies and other essential input materials that contribute to atmosphere models. LANDSAT satellite data have provided many opportunities to use remote sensing and GIS (geographic information system) methods to study the Earth’s surface analysis. This study showed that topography, in an extra to human activity, also significantly impacts on the land surface temperature. Such type of research has provided the automated LST developed by LANDSAT-8 images based on algorithms. The majority of climate modelling and analytic applications require this. Remote sensing and geographic information systems suggest many possible uses in climate change assessments when they have been used to calculate LST. The results are presented in that area, where the standard deviation calculated was 4.83 °C LST, as the NDVI (normalized difference vegetation index) values have attained by red and near-infrared bands. Thermal infrared bands were utilized to determine land surface emissivity (LSE). The NDVI, LSE and LST studies have given sufficient accuracy for understanding the temperature variability. Results of study area show the lowest temperature in between 26.65 and 32.31 °C (1.85%), tolerance of 37.73–40.64 °C (24.05%) and deeply below at 43.47–47.89 °C (32.05%) during April 2019.