Temporal dynamics of turbidity in China’s lakes and reservoirs: Distinct trajectories and corresponding driving mechanisms

Understanding long-term turbidity dynamics is crucial for water security but remains challenging at large scales. To address this, we integrated Dynamic Time Warping (DTW) clustering with uncertainty-aware Bayesian Additive Regression Trees (BART) to analyze MODIS observations (2003–2024) for 917 ma...

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Yusheng Huang, Huili Chen, Shujie Liu, Gang Zhao, Xinyue Fu, Hanxiao Zhang, Zhongyao Liang, Yong Liu
Format:	Article
Language:	English
Published:	Elsevier 2026-05-01
Subjects:	Turbidity trend pattern Driver identification Remote sensing Dynamic Time Warping Bayesian Additive Regression Tree
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843226002037