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@article{bb254301,
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@article{bb254302,
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@article{bb254303,
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@article{bb254304,
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@article{bb254305,
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@article{bb254306,
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@article{bb254308,
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@article{bb254310,
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@article{bb254311,
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@article{bb254315,
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@article{bb254320,
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River Delta, China",
        JOURNAL = RS,
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@article{bb254351,
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        TITLE = "Spatiotemporal Modeling of Coniferous Forests Dynamics along the
Southern Edge of Their Range in the Central Russian Plain",
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@article{bb254352,
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        TITLE = "Shedding New Light on Mountainous Forest Growth: A Cross-Scale
Evaluation of the Effects of Topographic Illumination Correction on
25 Years of Forest Cover Change across Nepal",
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        YEAR = "2021",
        NUMBER = "11",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fc1.html#TT249152"}

@article{bb254353,
        AUTHOR = "Zhang, B.Y. and Ye, H.C. and Lu, W. and Huang, W.J. and Wu, B. and Hao, Z.Q. and Sun, H.",
        TITLE = "A Spatiotemporal Change Detection Method for Monitoring Pine Wilt
Disease in a Complex Landscape Using High-Resolution Remote Sensing
Imagery",
        JOURNAL = RS,
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        YEAR = "2021",
        NUMBER = "11",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fc1.html#TT249153"}

@article{bb254354,
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Climatic Anomalies in the Northern Hemisphere",
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@article{bb254355,
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        TITLE = "Development and Application of Earth Observation Based Machine
Learning Methods for Characterizing Forest and Land Cover Change in
Dilijan National Park of Armenia between 1991 and 2019",
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@article{bb254356,
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Old and New Forest Productivity",
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@article{bb254357,
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in Fenhe River Basin, Northern China, from Landsat Time Series to
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@article{bb254358,
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Using Multi-Sensor Optical Remote Sensing Data",
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@article{bb254359,
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@inproceedings{bb254361,
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Forest Cover Change in Middle Atlas Morocco, Under Anthropic, Biotic
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@inproceedings{bb254363,
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@inproceedings{bb254365,
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@inproceedings{bb254366,
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Uttara Kannada District India Using Remote Sensign And Gis Techniques",
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@inproceedings{bb254367,
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X-band SAR data",
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@inproceedings{bb254368,
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Landsat Time Series",
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@inproceedings{bb254369,
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Brazil",
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@inproceedings{bb254370,
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        TITLE = "Mapping Secondary Forest Succession On Abandoned Agricultural Land In
The Polish Carpathians",
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@inproceedings{bb254371,
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Agro-forestry-pastoral Ecosystem In The Region Of Khenchela (Algeria)",
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@inproceedings{bb254372,
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        TITLE = "Mapping Tropical Forest For Sustainable Management Using Spot 5
Satellite Image",
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@inproceedings{bb254373,
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        TITLE = "Phenology Analysis Of Forest Vegetation To Environmental Variables
During Pre- And Post-monsoon Seasons In Western Himalayan Region Of
India",
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@inproceedings{bb254374,
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        TITLE = "Random Forest And Objected-based Classification For Forest Pest
Extraction From UAV Aerial Imagery",
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@inproceedings{bb254375,
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Temporal Scales: Integration Of Spatial Analysis, Change Detection And
Field Long Term Monitoring",
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@inproceedings{bb254376,
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@article{bb254397,
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@article{bb254398,
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@article{bb254399,
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Last update:Oct 24, 2021 at 16:35:58