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

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

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,...

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Bibliographic Details
Main Authors: Sonu Kumar, Edward Park, Dung Duc Tran, Jingyu Wang, Huu Loc Ho, Lian Feng, Sameh A. Kantoush, Doan Van Binh, Dongfeng Li, Adam D. Switzer
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:GIScience & Remote Sensing
Subjects:
Deep learning
sand mining
riverbed incision
Mekong Delta
remote sensing
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2023.2285178
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https://www.tandfonline.com/doi/10.1080/15481603.2023.2285178

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