Assessing future hydrological and sediment transport response of an urban watershed using a machine learning–based land cover change model

Assessing the impacts of land cover change (LCC) on hydrology and sediment load is essential for the sustainable management of urban watersheds. Modeling LCC using machine learning techniques enhances the ability to generate realistic future scenarios, providing a robust basis for informed watershed...

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