Characterizing surface water changes across the Tibetan Plateau based on Landsat time series and LandTrendr algorithm
Author:
Affiliation:
1. School of Geographical Science, Shanxi Normal University, Linfen, Shanxi, China
Funder
State Key Laboratory of Marine Geology, Tongji University
Publisher
Informa UK Limited
Subject
General Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2022.2052188
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1. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation
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5. Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series
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