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Land Surface Temperature and Its Lapse Rate Estimation Using Landsat-8 TIRS Data in Beas River Basin, India and Computed Differences With MODIS-Terra
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Author(s): Gopinadh Rongali (National Centre for Medium Range Weather Forecasting, MoES, Noida, India), Ashok K. Keshari (Indian Institute of Technology Delhi, New Delhi, India), Ashwani K. Gosain (Indian Institute of Technology Delhi, New Delhi, India), R. Khosa (Indian Institute of Technology Delhi, New Delhi, India)and Ashish Kumar (School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India)
Copyright: 2024
Pages: 20
Source title:
Advanced Geospatial Practices in Natural Environment Resource Management
Source Author(s)/Editor(s): Rubeena Vohra (Bharati Vidyapeeth's College of Engineering, India)and Ashish Kumar (Bennett University, India)
DOI: 10.4018/979-8-3693-1396-1.ch007
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Abstract
In the study of snow melt runoff, the temperature lapse rate (TLR) is an essential variable. For the Beas River Basin in the Western Himalayas, it has been approximated in the current study. In this work, the split-window (SW) technique for TLR estimate has been used to recover the land surface temperature (LST). LST in the study area has a negative correlation with elevation values, and the trend shows that LST and elevation have an inverse relationship, according to data from the United States Geological Survey's (USGS) advanced spaceborne thermal emission and reflection radiometer (ASTER) and global digital elevation model (GDEM). The TLRs for the Beas River Basin region vary from 0.71°C/100 m to 0.87°C/100 m during the time period of 18 April 2013 to 27 June 2015. The findings were calculated using lapse rates calculated from maps produced by the moderate resolution image spectroradiometer (MODIS). There is excellent agreement between the MODIS-Terra data and the air temperature and LST from Landsat-8. The modelling of snow and glacier melt flow in the Himalayan region will benefit from the current work.
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