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Image processing of Sentinel-2MSI data for Lake Water Quality Analysis
2nd International Conference on Technological Advancements in Computational Sciences, ICTACS 2022 ; : 425-429, 2022.
Article in English | Scopus | ID: covidwho-2213296
ABSTRACT
In recent decades lake water resources are get deteriorating and declining due to an increase in urbanization and the high effects of anthropogenic activities. Lake is an important ecological asset to the earth system. It is necessary to monitor water resources. Due to the spread of the covid-19 pandemic virus, the global range shutdown was implemented so that all the activities come to hold resulting in recovering nature and its environment from pollution. The on-site monitoring and evaluation of the quality of water resources in the pandemic period are impossible. The satellite remote sensing techniques have been used for the water quality assessment for pre-pandemic and during pandemic periods. The result suggested that there is an up-gradation in the quality of lake water in the lockdown period than the pre pandemic period i.e. 30.60% increase in lake water clarity. The satellite image processing techniques had the potential for the estimation of the lake water quality during these difficult times. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Technological Advancements in Computational Sciences, ICTACS 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2nd International Conference on Technological Advancements in Computational Sciences, ICTACS 2022 Year: 2022 Document Type: Article