Deep Learning and Remote‐Sensed Observations Reveal Global Underestimation of River Obstructions

Abstract River obstructions are a subject of global concern due to their impact on river connectivity and aquatic ecosystems. However, detecting and quantifying these structures, especially small and undocumented ones, remains a major challenge due to limitations in existing data sets and detection...

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Bibliografische Detailangaben

Hauptverfasser:	Mingxia He, Jie Niu, William J. Riley, Chaopeng Shen, Yi Zheng, John M. Melack, Dongwei Gui, Han Qiu, Mengyu Xie, Liwei Sun, Dongdong Liu, Yong Fu, Qixin Wu, Shaoqi Zhou, Pan Wu, Bill X. Hu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2025-09-01
Schriftenreihe:	Water Resources Research
Schlagworte:	river obstruction deep learning remote sensing global
Online-Zugang:	https://doi.org/10.1029/2024WR039692
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