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@article{bb307501,
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@article{bb307502,
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@article{bb307503,
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@article{bb307504,
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        TITLE = "Estimating Aboveground Biomass in Tropical Forests: Field Methods and
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@article{bb307505,
        AUTHOR = "Gwenzi, D. and Helmer, E.H. and Zhu, X.L. and Lefsky, M.A. and Marcano Vega, H.",
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@article{bb307506,
        AUTHOR = "Balenovic, I. and Milas, A.S. and Marjanovic, H.",
        TITLE = "A Comparison of Stand-Level Volume Estimates from Image-Based Canopy
Height Models of Different Spatial Resolutions",
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@article{bb307507,
        AUTHOR = "Zhu, J. and Huang, Z.H. and Sun, H. and Wang, G.X.",
        TITLE = "Mapping Forest Ecosystem Biomass Density for Xiangjiang River Basin
by Combining Plot and Remote Sensing Data and Comparing Spatial
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@article{bb307508,
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High Resolution Cartosat Imagery",
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@article{bb307509,
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        TITLE = "Biomass Estimation of Xerophytic Forests Using Visible Aerial
Imagery: Contrasting Single-Tree and Area-Based Approaches",
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@article{bb307510,
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@article{bb307511,
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        TITLE = "Development and Comparison of Species Distribution Models for Forest
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@article{bb307512,
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@article{bb307513,
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@article{bb307514,
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@article{bb307515,
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@article{bb307517,
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@article{bb307518,
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@article{bb307519,
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        TITLE = "Landscape-Scale Aboveground Biomass Estimation in Buffer Zone
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@article{bb307520,
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@article{bb307526,
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@article{bb307550,
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@article{bb307551,
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@article{bb307552,
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@article{bb307554,
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@article{bb307555,
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@article{bb307556,
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@article{bb307557,
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@article{bb307558,
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@article{bb307559,
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@article{bb307561,
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@article{bb307562,
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@article{bb307563,
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@article{bb307564,
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@article{bb307566,
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@article{bb307568,
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@article{bb307569,
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@article{bb307570,
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@article{bb307571,
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@article{bb307572,
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@article{bb307575,
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@article{bb307576,
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@article{bb307577,
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@article{bb307579,
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@article{bb307594,
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Biomass in the Khingan Mountains of North-Eastern China Using
Machine-Learning Algorithms",
        JOURNAL = RS,
        VOLUME = "14",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog951v1.html#TT302088"}

@article{bb307595,
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        TITLE = "Use Remote Sensing and Machine Learning to Study the Changes of
Broad-Leaved Forest Biomass and Their Climate Driving Forces in
Nature Reserves of Northern Subtropics",
        JOURNAL = RS,
        VOLUME = "14",
        YEAR = "2022",
        NUMBER = "5",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog951v1.html#TT302089"}

@article{bb307596,
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        TITLE = "Mapping Forest Aboveground Biomass Using Multisource Remotely Sensed
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        NUMBER = "5",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog951v1.html#TT302090"}

@article{bb307597,
        AUTHOR = "Stratoulias, D. and Nuthammachot, N. and Suepa, T. and Phoungthong, K.",
        TITLE = "Assessing the Spectral Information of Sentinel-1 and Sentinel-2
Satellites for Above-Ground Biomass Retrieval of a Tropical Forest",
        JOURNAL = IJGI,
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        YEAR = "2022",
        NUMBER = "3",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog951v1.html#TT302091"}

@article{bb307598,
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        TITLE = "Aerial Imagery Can Detect Nitrogen Fertilizer Effects on Biomass and
Stand Health of Miscanthus X giganteus",
        JOURNAL = RS,
        VOLUME = "14",
        YEAR = "2022",
        NUMBER = "6",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog951v1.html#TT302092"}

@article{bb307599,
        AUTHOR = "Chen, M.J. and Qiu, X.C. and Zeng, W.S. and Peng, D.",
        TITLE = "Combining Sample Plot Stratification and Machine Learning Algorithms
to Improve Forest Aboveground Carbon Density Estimation in Northeast
China Using Airborne LiDAR Data",
        JOURNAL = RS,
        VOLUME = "14",
        YEAR = "2022",
        NUMBER = "6",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog951v1.html#TT302093"}

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