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.

1. AGPPC. 2017. “Decision of Approval of Adjustment and Modification of Planning in the Survey Exploitation and Usage of Minerals in an Giang Province in the Period of 2008-2020 and Vision to 2030.” Accessed February 12 2023. https://hethongphapluat.com/quyet-dinh-143-qd-ubnd-nam-2017-ve-phe-duyet-dieu-chinh-bo-sung-quy-hoach-tham-do-khai-thac-va-su-dung-khoang-san-tinh-an-giang-giai-doan-2008-2020-dinh-huong-den-nam-2030.html.

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

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recurrence interval of riverbed sand mining hotspots in the Mekong delta: Potential indications of unsustainable replenishment rates;Journal of Environmental Management;2024-11

2. Sand mining across the Ganges–Brahmaputra–Meghna Catchment; assessment of activity and implications for sediment delivery;Environmental Research Letters;2024-07-19

3. Landscape and Social Disruption from Sand Mining and Mining-Related Activities: A Case from the Vietnamese Mekong Delta;Annals of the American Association of Geographers;2024-07-16

4. Deep Learning-Based Geomorphic Feature Identification in Dredge Pit Marine Environment;Journal of Marine Science and Engineering;2024-06-28

5. Southeast Asia's dynamic sand trade and the need for better data;The Extractive Industries and Society;2024-06