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Vol. 12, Special Issue 6 (2023)

Land surface temperature estimation of a distributary of Mahanadi canal command using LANDSAT-7 and LANDSAT-8 satellite data using Sebal algorithm for rice and wheat crops

Author(s):
Manju Dhruw and VK Pandey
Abstract:
Land Surface Temperature (LST) is one of such parameter on which the growth of vegetation and soil biological micro and micro living depend. Variation in LST may directly affect crop productivity and soil fertility. LST is an applied tool for many climatic models and an important element in different areas like heat balance studies, land cover, land use and climate change. Due to advancement in technology, remote sensing imagery provides a suitable platform to estimate LST accurately. In the present study, LST has been estimated using LANDSAT 7 and 8 imagery from SEBAL algorithm for 15 years of Rice & Wheat Crops. The optical and thermal bands of LANDSAT 7 and 8 have been to estimate LST of 2A distributary of Mahanadi canal Command which is situated in Dhamtari district of Chhattisgarh state of India. This present study can provide a reference for land use planning, restoration of ecological environment and sustainable development in 2A Distributary. Land Surface Temperature was found to be maximum 43.495 0C.in 2009 and minimum 28.542 0C in 2008 for Rice Crop and for Wheat Crop was found to be maximum 34.793 0C in 2012 and minimum 23.806 0C in 2021.
Pages: 451-456  |  286 Views  168 Downloads
How to cite this article:
Manju Dhruw and VK Pandey. Land surface temperature estimation of a distributary of Mahanadi canal command using LANDSAT-7 and LANDSAT-8 satellite data using Sebal algorithm for rice and wheat crops. The Pharma Innovation Journal. 2023; 12(6S): 451-456.

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