Landuse Land Cover Study with Different Geospatial Indices of Korba Coalfield Region, Chhattisgarh, India

Abstract

This present study has been made carried out for the analysis of landuse land cover (LULC) changes in Korba Coalfield, Chhattisgarh, from last 19 years of data (that is 2002-2021).Remote sensing and GIS datasets were adopted to analyse spatial-temporal changes.LULC classes were classified mainly into barren land, built-up area, cropland, forest area, mining area and water bodies.The maximum likelihood method of supervised classification (ArcGIS software) was adopted to classify selected images into suitable LULC classes.The changes in land cover are detected on 5-7 year time interval using satellite data of Landsat 4-5 TM, Landsat-8 OLI and TIRS with different geo-spatial indices, like normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference soil index (NDSI).The observations show that cropland and forest area indicate maximum degradation and decreased with net change by 58.57 km2 in 2002 and 82.54 km2 in 2021(-16.03 km2) and 40.69 km2 in 2002 and 32.24 km2 in 2021 (-8.45 km2) whereas built-up area and mining area have increased with net change by 29.38 km2 in 2002 and 39.64 km2 in 2021 (+10.26 km2) and 28.48 km2 in 2002 and 38.81 km2 in 2021 (+8.33 km2), respectively.Apart from this, barren land and water bodies were also increased with net change by 22.86 km2 in 2002 and 26.53 km2 in 2021 (+3.67 km2) and 6.59 km2 in 2002 and 8.81 km2 in 2021 (+2.22 km2).Net change, percentage change and rate of change in land cover of different classes were also calculated.Therefore, these used indices are very reliable for mapping as well as monitoring different land cover changes over a large extent in mining areas. © 2022 Scientific Publishers. All rights reserved.