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GIScience & Remote Sensing
Volume 61, 2024 - Issue 1
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Research Article
A deep learning framework to map riverbed sand mining budgets in large tropical deltas
Sonu Kumara National Institute of Education, Nanyang Technological University, Singapore, Singapore;b Earth Observatory of Singapore and Asian School of the Environment, Nanyang Technological University, Singapore, Singaporehttps://orcid.org/0000-0002-8657-0869View further author information
, Edward Parka National Institute of Education, Nanyang Technological University, Singapore, Singapore;b Earth Observatory of Singapore and Asian School of the Environment, Nanyang Technological University, Singapore, SingaporeCorrespondence[email protected]
https://orcid.org/0000-0002-1299-1724View further author information
, https://orcid.org/0000-0002-1299-1724View further author information
Dung Duc Trana National Institute of Education, Nanyang Technological University, Singapore, Singapore;b Earth Observatory of Singapore and Asian School of the Environment, Nanyang Technological University, Singapore, Singapore;c Center of Water Management and Climate Change, Institute for Environment and Resources, Vietnam National University, Ho Chi Minh City, Viet NamView further author information
, Jingyu Wanga National Institute of Education, Nanyang Technological University, Singapore, SingaporeView further author information
, Huu Loc Hod Water Systems and Global Change Group, Wageningen University and Research, Wageningen, The NetherlandsView further author information
, Lian Fenge School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, ChinaView further author information
, Sameh A. Kantoushf Disaster Prevention Research Institute (DPRI), Kyoto University, Kyoto, JapanView further author information
, Doan Van Binhg Master Program in Water Technology, Reuse and Management, Vietnamese-German University, Bến Cát, Binh Duong Province, Viet NamView further author information
, Dongfeng Lih Key Laboratory for Water and Sediment Sciences, Ministry of Education, College of Environmental Sciences and Engineering, Peking University, Beijing, ChinaView further author information
& Adam D. Switzerb Earth Observatory of Singapore and Asian School of the Environment, Nanyang Technological University, Singapore, SingaporeView further author information
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Article: 2285178
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Received 29 Jul 2023, Accepted 11 Nov 2023, Published online: 13 Dec 2023
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