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

• Main Authors: Kumar, Sonu, Park, Edward, Tran, Dung Duc, Wang, Jingyu, Ho, Huu Loc, Feng, Lian, Kantoush, Sameh A., Binh, Doan Van, Li, Dongfeng, Switzer, Adam D.
• 其他作者: Asian School of the Environment
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Earth and Environmental Sciences; Deep learning; Sand mining
• 在線閱讀: https://hdl.handle.net/10356/174009
• 機構: Nanyang Technological University

Rapid urbanization has dramatically increased the demand for river sand, leading to soaring sand extraction rates that often exceed natural replenishment in many rivers globally. However, our understanding of the geomorphic and social-ecological impacts arising from Sand Mining (SM) remains limited,...