Abstract Land and water are the two essential natural resources for human survival. Land Use/Land Cover is an important parameter governing the hydrology of a region. Increased human interventions have caused different modifications in the land cover, directly or indirectly affecting the hydrological cycle and processes in the long run. Raising urban and rural growth leads to an increase in the runoff by diminishing the perviousness of the region. Distributed hydrological modelling provides an efficient way to evaluate such changes by allowing quantification of streamflow patterns and distribution of hydrological components throughout the watershed. Remote sensing has the potential to be a more accurate tool for collecting spatial and temporal databases for studying hydrological processes. This study helps researchers to convey their ideas to the development of data collection and data extraction techniques, adoption of appropriate workflows for assembling multiple datasets, and analysis of the time-series impact of urbanisation on the watershed's runoff potential.
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Sharma et al. (2024) studied this question.
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