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International Journal of Geography, Geology and Environment
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P-ISSN: 2706-7483, E-ISSN: 2706-7491

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"International Journal of Geography, Geology and Environment"

2023, Vol. 5, Issue 1, Part A

Assessment of LULC and their impact on land surface temperature, using geospatial techniques in Kolar River catchment area, Madhya Pradesh, India


Author(s): Anand Kumar and DC Gupta

Abstract:
In this study different patterns of land cover were identified and investigated, their impact on LST, NDVI, and NDBI, and determined correlation between LST, NDVI and NDBI. Taken 26 May 2021 Landsat 8 satellite data, ARC GIS 16.0 and ERDAS imagine 16.0 software were Used. The present study is focused on determining the Land use Land cover, Land surface Temperature, normalized difference vegetation index (NDVI), normalized difference and built - up index (NDBI), and correlation between LST, NDVI and NDBI for Kolar River catchment. This is classified into different land use/land cover (LU – LC) types using NDVI, NDBI and threshold values, iterative self – organizing data analysis technique and maximum likelihood classifier. A classification system composed of five classes – Agriculture, Forest, built-up area, water body, and bare soil, and build relationship of LST with the NDVI and NDBI over LULC.
The classified built-up areas showing maximum temperature 49.72 °C, high NDBI value 0.68 and low NDVI value -0.96, and water body have minimum temperature 22.84 °C degree, minimum NDBI value -0.83and minimum NDVI0.95 values. LST build a strong negative correlation with NDVI, and shows strong positive correlation with NDBI. Built-up area and bare land have maximum temperature due to increasing anthropogenic activities. Spatial variation of Land Surface Temperature, NDBI and NDVI in a particular land cover has been critically analysed and mapped.


Pages: 08-14 | Views: 409 | Downloads: 135

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International Journal of Geography, Geology and Environment
How to cite this article:
Anand Kumar, DC Gupta. Assessment of LULC and their impact on land surface temperature, using geospatial techniques in Kolar River catchment area, Madhya Pradesh, India. Int J Geogr Geol Environ 2023;5(1):08-14.
International Journal of Geography, Geology and Environment