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- W4313372237 abstract "Lake morphology has been identified as a key factor for the understanding of lacustrine systems. Notably, the morphometric descriptors have been viewed as factors controlling lake productivity due to light penetration, oxygen distribution, heat balance, nature of the sediments, and littoral zone development. The overarching goal of this study is to explore the ecological knowledge of HSAS—‘Hypersaline-Alkaline Shallow Lake,’ through the determination of selected morphometric parameters. Despite their ubiquity and significance, however, inland HSAS lakes are generally less studied than freshwater lakes. Therefore, quantifying morphometry for these inland lakes is quite important, which has implications for their ecology and management. Lake morphology is quantified with morphometric metrics that are descriptors of the form and size of lake basins. Geospatial technology is becoming important to process and analyze morphometric metrics. To perform this analysis, spatiotemporal Landsat Multispectral Scanner System (MSS) and Operational Land Imager (OLI) Imagery have been used. These satellite images have been atmospherically corrected using Improved Dark Subtraction (IDOS) method, and based on Normalized Difference Water Indices (NDWI), the lake water surface extent was extracted for further analysis. For lake water depth measurements, demanding field measurements were taken using GPS receiver and other morphometric measurements were estimated using ‘Håkanson morphometry’ manual. This lake has been morphometrically assessed for the years 1975 and 2015. As a result, the drastic changes have been observed in its morphometrical dimensions. For the year 1975, this lake can be characterized as a shallow, convex, and intermediate type hypersaline-alkaline endorheic lake. In addition, for the year 2015, this lake behaves as an extremely shallow, concave, and small hypersaline-alkaline endorheic lake system. This analysis provides crucial knowledge in support of approaches to lake management. This study is based on only two distinct years, i.e., 1975 and 2015; if similar morphometrical analysis can be performed for a long time period, then characteristics of this lake can be defined in a more illustrative and descriptive way." @default.
- W4313372237 created "2023-01-06" @default.
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- W4313372237 date "2022-01-01" @default.
- W4313372237 modified "2023-09-27" @default.
- W4313372237 title "Remote Sensing-Based Estimation of Shallow Inland Lake Morphometry: A Case Study of Sambhar Salt Lake, Ramsar Site-464, India" @default.
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- W4313372237 doi "https://doi.org/10.1007/978-3-031-14096-9_11" @default.
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