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A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 632
作者:  Amiri, Afshin;  Soltani, Keyvan;  Ebtehaj, Isa;  Bonakdari, Hossein
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A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 632
收藏  |  浏览/下载：0/0  |  提交时间：2024/06/11
Projected increase in widespread riverine floods in India under a warming climate 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 630
作者:  Nanditha, J. S.;  Mishra, Vimal
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Projected increase in widespread riverine floods in India under a warming climate 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 630
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Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 630
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Evaluating vegetation vulnerability under compound dry and hot conditions using vine copula across global lands 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 631
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Prediction of global water use efficiency and its response to vapor pressure deficit and soil moisture coupling in the 21st century 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 635
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Assessing vegetation resilience and vulnerability to drought events in Central Asia 期刊论文
JOURNAL OF HYDROLOGY, 2024, 卷号: 634
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