Evaluating spectral indices for water bodies extraction in western Tibetan Plateau

• Published in: The Egyptian journal of remote sensing and space sciences Vol. 24; no. 3; pp. 619 - 634
• Main Authors: Khalid, Hafiza Wajiha, Khalil, Rao M. Zahid, Qureshi, Muhammad Ateeq
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-12-2021; Elsevier
• Subjects: AWEI_sh; Cryospheric regions; Land Surface Temperature; LBWEI; MNDWI; NDMI; NDWI; NWI; WRI; NWI; AWEI_sh; MNDWI; NDMI; Land Surface Temperature; LBWEI; NDWI; Cryospheric regions; WRI
• ISSN: 1110-9823; 2090-2476
• DOI: 10.1016/j.ejrs.2021.09.003

Waterbody extraction in the high-elevated region of the Tibetan Plateau from remote sensing imagery is an efficient way to investigate and monitor water resources. The intrusion of shadows, snow/ice, and other impediments are still unconvincing in cryospheric regions. Landsat 8 OLI images were used to extract water bodies by applying various spectral indices such as; Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Normalized Difference Moisture Index (NDMI), Automated Water Extraction Index (AWEI_sh), New Water Index (NWI), Water Ratio Index (WRI), and LST based Water Extraction Index (LBWEI). The result showed that the LBWEI index has high accuracy in all weather conditions from 93.66% to 97.63% and improved consistency around 3% to 7% as compared to other techniques. The study suggests the LBWEI technique may be used in the cryospheric region for quick evaluation and provide the baseline information for researchers in algorithm developments.