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.
• Other Authors: Asian School of the Environment
• Format: Article
• Language: English
• Published: 2024
• Subjects: Earth and Environmental Sciences; Deep learning; Sand mining
• Online Access: https://hdl.handle.net/10356/174009
• Institution: 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,...