2021
DOI: 10.21203/rs.3.rs-1028294/v1
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Assessing The Impact of Land Cover On Groundwater Quality In a Smart City Using GIS And Machine Learning Algorithms

Abstract: The present study aimed to assess the impacts of land cover on groundwater quality by integrating physico-chemical data and satellite imageries. Initially, fourteen groundwater parameters of both pre-monsoon and post-monsoon were collected from nineteen sampled stations and water quality index (WQI) was calculated. Consequently, Google earth, Landsat-8, and Sentinel-2A imageries were considered for land cover mapping including the concentration of settlement and urban built-up, greenery coverage, and micro-lev… Show more

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Cited by 2 publications
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