Assessment of winter season land surface temperature in the Himalayan regions around the Kullu area in India using landsat-8 data. Issue 6 (25th April 2020)

• Record Type: Journal Article
• Authors: Varade, Divyesh; Dikshit, Onkar
• Is Part Of: Geocarto international. Volume 35:Issue 6(2020)
• Page Start: 641
• Page End: 662
• Publication Date: 2020-04-25
• Subjects: land surface temperature -- snow -- emissivity -- Landsat-8 -- Sentinel-3; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2018.1520928
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: In this study, we propose a modified thresholds method for the determination of land surface emissivity (LSE) for snow covered mountainous areas. The conventional Normalized Differenced Vegetation Index (NDVI) thresholds method (NDVI THM ) does not discriminate the snow covered pixels with soil pixels in assigning the LSE based on NDVI thresholds. In the proposed approach, we incorporate different thresholding rules based on the Normalized Differenced Snow Index and the S3 index for incorporating separability in the LSE for the snow covered pixels. The LSE thus derived is used to determine the land surface temperature using the Single Channel Method. The approach was evaluated for a study area around the Kullu Valley in the lower Indian Himalayas for a dataset of the winter season of Landsat-8 multispectral data. The observed coefficient of determination values indicated that the proposed method yielded better results with respect to the conventional NDVI THM approach.