Detecting Disturbance and Recovery in Mining Landscapes: A Novel Time-Series Framework Based on Improved LandTrendr and Machine Learning

Journal:

Environmental Research

Published:

2026-01-31

DOI:

10.1016/j.envres.2026.123868

Affiliations:

3

Authors:

2

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Institutions	Authors	Share
Central South University (CSU), China	0.666667	0.33
MOE Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, CSU, China	0.666667	0.33
Key Laboratory of Non-ferrous Resources and Geological Hazard Detection, China	0.666667	0.33

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