Characterizing surface water changes across the Tibetan Plateau based on Landsat time series and LandTrendr algorithm
Recently, the Tibetan Plateau (TP) has experienced dramatic climate change, which influence atmospheric and hydrological cycles. The understanding of surface water dynamics is essential to further investigate the water balance and the hydrologic cycle in this region. In this study, we used all avail...
Main Authors: | X. R. Chai, M. Li, G. W. Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
|
Series: | European Journal of Remote Sensing |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2022.2052188 |
Similar Items
-
Demystifying LandTrendr and CCDC temporal segmentation
by: Valerie J. Pasquarella, et al.
Published: (2022-06-01) -
Implementation of the LandTrendr Algorithm on Google Earth Engine
by: Robert E Kennedy, et al.
Published: (2018-05-01) -
Seasonal fluctuations of marsh wetlands in the headwaters of the Brahmaputra, Ganges, and Indus Rivers, Tibetan Plateau based on the adapted LandTrendr model
by: Qionghuan Liu, et al.
Published: (2023-08-01) -
Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm
by: Xiong Yin, et al.
Published: (2022-11-01) -
Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and LandTrendr-Google Earth Engine Cloud Computing
by: Theodomir Mugiraneza, et al.
Published: (2020-09-01)