Ecology, Environment and Conservation Paper

MONITORING LAND USE LAND COVER TRANSFORMATIONS AND ITS EFFECTS ON LAND SURFACE TEMPERATURE USING GEOSPATIAL APPROACH IN JHARSUGUDA DISTRICT, ODISHA, INDIA

Abinash Mansingh, Monty Kujur, Satyabrat Sahoo, Laxmi Prasad Rath and Nirius Jenan Ekka

Abstract

The aim of the work was to analyse Land use land cover (LU/LC) changes and their correlation with the increased Land surface temperature (LST) in Jharsuguda district, Odisha using geospatial techniques and transformation analysis in ArcGIS 10.4 software. Remotely sensed data from Landsat 8 operational land imager (OLI) for March 2013 and Landsat 9 OLI for March 2023 were utilized to investigate LU/LC and LST changes. The satellite data was classified using the maximum likelihood supervised classification algorithm (MLSC) to derive LULC maps. The overall accuracy of these classified LULC maps was determined to be more than 85% in both years. In order to obtain LST information from the satellite images, the spectral radiance model was utilized. The findings of the study revealed a clear correlation between the loss of vegetation cover (VC) and the expansion of built-up areas, which consequently contributed to an increase in the urban heat islands (UHI). The LU/LC estimation indicates substantial changes in the landscape over the past ten years. Specifically, there was a notable net increase in urban area (UA) by 55.12%, while very dense forest (VDF) experienced a reduction of 49.28%, moderately dense forest (MDF) decreased by 18.60%, and open forest (OF) by 42.58% as well as non-forest (NF) by 1.76% between 2013 and 2023. Furthermore, the study observed that the maximum temperature of the city rises from 46.8 °C in 2013 to 48.3 °C in 2023. So, the municipal authority can take new decision policies and management to reduce the effects of LST for sustainable development in the further future.