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| Applicability of | landtrendr | to Surface Water Dynamics: A Case Study of Minnesota from 1984 to 2019 Using Google Earth Engine, The |
| Approach Integrating Multi-Source Data with | landtrendr | Algorithm for Refining Forest Recovery Detection, An |
| Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and | landtrendr | -Google Earth Engine Cloud Computing |
| Contrasting Forest Loss and Gain Patterns in Subtropical China Detected Using an Integrated | landtrendr | and Machine-Learning Method |
| Implementation of the | landtrendr | Algorithm on Google Earth Engine |
| Interannual Monitoring of Cropland in South China from 1991 to 2020 Based on the Combination of Deep Learning and the | landtrendr | Algorithm |
| Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the | landtrendr | Algorithm with Landsat Imagery |
| Mapping Annual Land Disturbance and Reclamation in a Surface Coal Mining Region Using Google Earth Engine and the | landtrendr | Algorithm: A Case Study of the Shengli Coalfield in Inner Mongolia, China |
| Mosaicking Landsat and Sentinel-2 Data to Enhance | landtrendr | Time Series Analysis in Northern High Latitude Permafrost Regions |
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