A deep learning framework to map riverbed sand mining budgets in large tropical deltas-Reference-Cited by-同舟云学术

A deep learning framework to map riverbed sand mining budgets in large tropical deltas

Published:2023-12-13 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Kumar Sonu¹²^ORCID,Park Edward¹²^ORCID,Tran Dung Duc¹²³,Wang Jingyu¹,Loc Ho Huu⁴,Feng Lian⁵,Kantoush Sameh A.⁶,Van Binh Doan⁷,Li Dongfeng⁸,Switzer Adam D.²

Affiliation:

1. National Institute of Education, Nanyang Technological University, Singapore, Singapore

2. Earth Observatory of Singapore and Asian School of the Environment, Nanyang Technological University, Singapore, Singapore

3. Center of Water Management and Climate Change, Institute for Environment and Resources, Vietnam National University, Ho Chi Minh City, Viet Nam

4. Water Systems and Global Change Group, Wageningen University and Research, Wageningen, The Netherlands

5. School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China

6. Disaster Prevention Research Institute (DPRI), Kyoto University, Kyoto, Japan

7. Master Program in Water Technology, Reuse and Management, Vietnamese-German University, Bến Cát, Binh Duong Province, Viet Nam

8. Key Laboratory for Water and Sediment Sciences, Ministry of Education, College of Environmental Sciences and Engineering, Peking University, Beijing, China

Funder

he Ministry of Education, Singapore, under its Academic Research

the National Research Foundation Singapore and the Singapore Ministry of Education under the Research Centres of Excellence initiative

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2285178

Reference83 articles.

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2. Linking rapid erosion of the Mekong River delta to human activities

3. The physical and environmental impacts of sand mining

4. Time is running out for sand

5. Anthropogenic stresses on the world’s big rivers