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Understanding hydrological responses through LULC analysis and predictive modelling(MLPNN-MC Model):A study of Bandu Sub-watershed(India)over three decades
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作者 Sudipto Halder Somnath Mandal +3 位作者 Zarkheen Mukhtar Debdas Ray Gupinath Bhandari Suman Paul 《Artificial Intelligence in Geosciences》 2025年第2期217-235,共19页
1.Introduction Planning and managing land resources requires the use of land use and land cover(LULC)maps,which provide vital information on the interactions between humans and the environment(Esfandeh et al.,2022;Pra... 1.Introduction Planning and managing land resources requires the use of land use and land cover(LULC)maps,which provide vital information on the interactions between humans and the environment(Esfandeh et al.,2022;Pratic`o et al.,2021;Yao et al.,2022).The precision of LULC monitoring has increased due to developments in Earth observation and remote sensing,allowing for well-informed environmental management decision-making(Qian and Zhang,2022;Viana et al.,2019). 展开更多
关键词 remote sensingallowing land use land cover bandu sub watershed predictive modelling land use land cover lulc mapswhich mlpnn mc model hydrological responses planning managing land resources
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