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Temperature in Guangdong, China",
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@article{bb252901,
        AUTHOR = "Tripathi, S. and Subedi, R. and Adhikari, H.",
        TITLE = "Forest Cover Change Pattern after the Intervention of Community
Forestry Management System in the Mid-Hill of Nepal: A Case Study",
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@article{bb252902,
        AUTHOR = "Xu, D.D. and Geng, Q.H. and Jin, C.S. and Xu, Z.K. and Xu, X.",
        TITLE = "Tree Line Identification and Dynamics under Climate Change in
Wuyishan National Park Based on Landsat Images",
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        NUMBER = "18",
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@article{bb252903,
        AUTHOR = "Ruiz Ramos, J. and Marino, A. and Boardman, C. and Suarez, J.",
        TITLE = "Continuous Forest Monitoring Using Cumulative Sums of Sentinel-1
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        NUMBER = "18",
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@article{bb252904,
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@article{bb252905,
        AUTHOR = "Cunningham, D. and Cunningham, P. and Fagan, M.E.",
        TITLE = "Evaluating Forest Cover and Fragmentation in Costa Rica with a
Corrected Global Tree Cover Map",
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@article{bb252906,
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        TITLE = "A Near Real-Time Method for Forest Change Detection Based on a
Structural Time Series Model and the Kalman Filter",
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        NUMBER = "19",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fc1.html#TT247713"}

@article{bb252907,
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        TITLE = "Integrating Landsat Time Series Observations and Corona Images to
Characterize Forest Change Patterns in a Mining Region of Nanjing,
Eastern China from 1967 to 2019",
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@article{bb252908,
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High-Resolution Imagery to Find Forest Damage Caused by Typhoons",
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@article{bb252909,
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Forest Masks Applications. Comparison of Products Across Europe",
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@article{bb252910,
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        NUMBER = "20",
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@article{bb252911,
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        TITLE = "Monitoring Forest Change in the Amazon Using Multi-Temporal Remote
Sensing Data and Machine Learning Classification on Google Earth Engine",
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        NUMBER = "10",
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@article{bb252912,
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        TITLE = "Radar Satellite Image Time Series Analysis for High-Resolution
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@article{bb252913,
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@article{bb252914,
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@article{bb252915,
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@article{bb252916,
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@article{bb252917,
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        TITLE = "Characterizing Forest Dynamics with Landsat-Derived Phenology Curves",
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@article{bb252918,
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        TITLE = "Stand Delineation of Pinus sylvestris L. Plantations Suffering
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        YEAR = "2021",
        NUMBER = "3",
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@article{bb252919,
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        NUMBER = "4",
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@article{bb252920,
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@article{bb252921,
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        TITLE = "A Low-Cost and Robust Landsat-Based Approach to Study Forest
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@article{bb252922,
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        TITLE = "Responding to Large-Scale Forest Damage in an Alpine Environment with
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        NUMBER = "8",
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@article{bb252923,
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@article{bb252924,
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@article{bb252925,
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@article{bb252926,
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@article{bb252927,
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@article{bb252928,
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@article{bb252929,
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@article{bb252930,
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Last update:Sep 19, 2021 at 21:11:01