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• W4384080500 abstract "Remote sensing approach along with high-end computational resources offers multiple observations for mapping and monitoring river water dynamics and water quality parameters with high spatial and temporal resolutions. This study used freely available high-resolution multispectral datasets for mapping and monitoring river water dynamics and optically active water quality parameters, viz., chlorophyll-a concentration and total suspended matters in Satluj and Beas Rivers over Punjab region. Methodological advances included open-source APIs like Google Earth Engine (GEE) for monitoring river water dynamics and physics-based semi-analytical inversion methods to monitor river water quality. Landsat multispectral imagery from Google Earth Engine (GEE) database has been used to derive the river water dynamics like river water occurrence, river water occurrence change intensity, river water recurrence, river water seasonality, and transition in river water class during period from 1984 to 2019 while Sentinel-2 imagery has been used to derive optical active water quality parameters for year 2019. A pixel-based classification system has been utilized to extract the water and non-water pixels and semi-analytical inversion model is used to retrieve the optical water quality parameters. The highest peak of surface water area has been observed in year 1998 and deficit peak has been observed in year 2019. The images of derived chlorophyll concentrations and total suspended matter have been found ranging from 0 to 34.28 mg/m3 and 0.01 to 147.40 g/m3 during pre-monsoon season and ranging from 0 to 34.09 mg/m3 and 0.01 to 150.64 g/m3 during post-monsoon season. The spatial and temporal variations of water quality parameters are associated with climatic variables, rainfall and high runoff over study area, and the surrounding reasons. The rainfall in the Punjab state and surrounding areas is strongly occurring during the monsoon season (June to September) that delivers higher loads of suspended materials and dissolved solids into the river and these materials consequently decrease the light penetration in the river water. Water quality parameter monitoring is an important indicator to measure the productivity and eutrophication of the river water system. The decay pattern of river water and water quality changes from the newest generation of high-resolution earth observation satellites can provide timely inputs and will be beneficial for researchers, scientists, policymakers, and management of water resources." @default.
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• W4384080500 date "2023-01-01" @default.
• W4384080500 modified "2023-10-16" @default.
• W4384080500 title "Assessment of River Water Dynamics and Optically Active Water Quality Parameters Over Punjab, Based on Cloud Computing Approach" @default.
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• W4384080500 doi "https://doi.org/10.1007/978-981-99-3660-1_3" @default.
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