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A deep learning framework to map riverbed sand mining budgets in large tropical deltas
GIScience & Remote Sensing ( IF 6.7 ) Pub Date : 2023-12-13 , DOI: 10.1080/15481603.2023.2285178 Sonu Kumar 1, 2 , Edward Park 1, 2 , Dung Duc Tran 1, 2, 3 , Jingyu Wang 1 , Huu Loc Ho 4 , Lian Feng 5 , Sameh A. Kantoush 6 , Doan Van Binh 7 , Dongfeng Li 8 , Adam D. Switzer 2
GIScience & Remote Sensing ( IF 6.7 ) Pub Date : 2023-12-13 , DOI: 10.1080/15481603.2023.2285178 Sonu Kumar 1, 2 , Edward Park 1, 2 , Dung Duc Tran 1, 2, 3 , Jingyu Wang 1 , Huu Loc Ho 4 , Lian Feng 5 , Sameh A. Kantoush 6 , Doan Van Binh 7 , Dongfeng Li 8 , Adam D. Switzer 2
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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 under...
中文翻译：
用于绘制大型热带三角洲河床采砂预算的深度学习框架
快速的城市化大大增加了对河沙的需求，导致全球许多河流的沙子提取率飙升，常常超过自然补给量。然而，我们的下...
更新日期：2023-12-15
中文翻译：
用于绘制大型热带三角洲河床采砂预算的深度学习框架
快速的城市化大大增加了对河沙的需求，导致全球许多河流的沙子提取率飙升，常常超过自然补给量。然而，我们的下...
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