An autoencoder driven deep learning geospatial approach to flood vulnerability analysis in the upper and middle basin of river Damodar

Abstract Flood vulnerability mapping has significantly progressed with the advent of Machine Learning (ML), bringing greater certainty to predictions. However, conventional supervised ML techniques may not be feasible in regions where recorded flood inventory data is scarce. This study introduces a...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Rohit Srinivas Thappitla, Vasanta Govind Kumar Villuri, Satish Kumar
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2025-09-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Flood vulnerability Deep learning Unsupervised learning Autoencoder Remote sensing and geographic information systems Damodar basin
Онлайн хандалт:	https://doi.org/10.1038/s41598-025-96781-2
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!