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6 September 2019 Index-based methods for water body extraction in satellite data
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Abstract
Several water index-based methods have been proposed in the literature, which, combine satellite multispectral bands in an algebraic expression. The objective of these water index-based methods is to increase the intensity contrast between water-pixels (surface water-body) and non-water pixels (built-up, soil, vegetation, etc.). The present investigation evaluates the Modified Normalized Difference Water Index (MNDWI) and the Automated Water Extraction Index (AWEI) using the Satellite data from Landsat 5 TM, Landsat 8 and Sentinel 2A at different time scenes. Based on visual inspection of the Lake Metztitlan water body mapping results, a high performance of AWEI approached via the OLI and the MSI sensors is observed. In the selected study area of [9210x9380]m, a statistical water pixel percentage of 30.703616% is observed in a flooding season and 9.884537% for a dry season of the year.
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M. Arreola-Esquivel, M. Delgadillo-Herrera, C. Toxqui-Quitl, and A. Padilla-Vivanco "Index-based methods for water body extraction in satellite data", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111372N (6 September 2019); https://doi.org/10.1117/12.2529756
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