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        TITLE = "Consistency Analysis of Remote Sensing Land Cover Products in the
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952tro1.html#TT262741"}

@article{bb268001,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952tro1.html#TT262742"}

@article{bb268002,
        AUTHOR = "Rudic, T.E. and McCulloch, L.A. and Cushman, K.C.",
        TITLE = "Comparison of Smartphone and Drone Lidar Methods for Characterizing
Spatial Variation in PAI in a Tropical Forest",
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@article{bb268003,
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Interferometric Radar, Sparse Lidar, and Multiscale Superpixels",
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        NUMBER = "12",
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@article{bb268004,
        AUTHOR = "Grainger, A. and Kim, J.",
        TITLE = "Reducing Global Environmental Uncertainties in Reports of Tropical
Forest Carbon Fluxes to REDD+ and the Paris Agreement Global
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@article{bb268005,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952tro1.html#TT262746"}

@article{bb268006,
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        TITLE = "New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming
for Natural Forest and Plantation Forest Monitoring",
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        NUMBER = "17",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952tro1.html#TT262747"}

@article{bb268007,
        AUTHOR = "Jimenez, A. and Hernandez, A.J. and Rodriguez Espinosa, V.M.",
        TITLE = "Integration of Geospatial Tools and Multi-source Geospatial Data to
Evaluate the Tropical Forest Cover Change in Central America and Its
Methodological Replicability in Brazil and the DRC",
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        NUMBER = "17",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952tro1.html#TT262748"}

@article{bb268008,
        AUTHOR = "Bueno, I.T. and McDermid, G.J. and Silveira, E.M.O. and Hird, J.N. and Domingos, B.I. and Junior, F.W.A.",
        TITLE = "Spatial Agreement among Vegetation Disturbance Maps in Tropical
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@article{bb268009,
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@article{bb268010,
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@article{bb268011,
        AUTHOR = "Abbas, S. and Wong, M.S. and Wu, J. and Shahzad, N. and Irteza, S.M.",
        TITLE = "Approaches of Satellite Remote Sensing for the Assessment of
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952tro1.html#TT262752"}

@article{bb268012,
        AUTHOR = "Yu, T. and Wu, W.J. and Gong, C. and Li, X.",
        TITLE = "Residual Multi-Attention Classification Network for A Forest
Dominated Tropical Landscape Using High-Resolution Remote Sensing
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@article{bb268013,
        AUTHOR = "Spracklen, B. and Spracklen, D.V.",
        TITLE = "Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest
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@article{bb268014,
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@article{bb268015,
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        TITLE = "Framework for Accounting Reference Levels for REDD+ in Tropical
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@article{bb268016,
        AUTHOR = "Hagolle, O. and Colin, J.",
        TITLE = "Comment on 'Comparison of Cloud Cover Detection Algorithms on
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@article{bb268017,
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@article{bb268018,
        AUTHOR = "Sari, I.L. and Weston, C.J. and Newnham, G.J. and Volkova, L.",
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        NUMBER = "8",
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@article{bb268019,
        AUTHOR = "Graham, E.A. and Hansen, M. and Kaiser, W.J. and Lam, Y. and Yuen, E. and Rundel, P.W.",
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@article{bb268020,
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@article{bb268021,
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@article{bb268022,
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@article{bb268023,
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@article{bb268024,
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@article{bb268025,
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@article{bb268026,
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@article{bb268027,
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@article{bb268028,
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@article{bb268029,
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@article{bb268030,
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@article{bb268048,
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@article{bb268049,
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@article{bb268051,
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@article{bb268052,
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Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for
Recognition of Tree Species in a Forest Area of High Species
Diversity",
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@article{bb268053,
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Karkonoski National Park (Poland) Using Artificial Neural Networks
and APEX Hyperspectral Images",
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@article{bb268054,
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Classification of Tree Types and Tree Species Based on Sentinel-2
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@article{bb268055,
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Analysis, and Minimum Noise Fraction Transformation for Tree Species
Classification Using APEX Hyperspectral Imagery",
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@article{bb268056,
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Machine Learning in South Korea and China",
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@article{bb268057,
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Multi-Temporal Sentinel-2 Data",
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@article{bb268058,
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Temperate Deciduous Forest: Effects of Sensor Type and Deployment",
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@article{bb268059,
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Similarity in Tree-Crown Object Histograms",
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@article{bb268060,
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Mixed-Conifer Forest from Hyperspectral Imagery",
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@article{bb268061,
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Convolutional Neural Networks",
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@article{bb268062,
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Species by Comparing 9 Years of Satellite Image Time Series",
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@article{bb268063,
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Europe Based on Multi-Temporal Sentinel-2 Data",
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@article{bb268064,
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Triple Wavelength ALS in a Temperate Forest",
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@article{bb268065,
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@article{bb268066,
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@article{bb268067,
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@article{bb268068,
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@article{bb268069,
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@article{bb268070,
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@article{bb268071,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT262812"}

@article{bb268072,
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@article{bb268073,
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@article{bb268074,
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@article{bb268075,
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@article{bb268076,
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@article{bb268077,
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@article{bb268078,
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@article{bb268079,
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@article{bb268080,
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@article{bb268081,
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@article{bb268082,
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@article{bb268083,
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@article{bb268084,
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@article{bb268086,
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Finding Ponderosa Pine (Pinus ponderosa) in the Willamette Valley",
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@article{bb268087,
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@article{bb268089,
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@article{bb268090,
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@article{bb268091,
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@article{bb268092,
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@article{bb268093,
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@article{bb268094,
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@article{bb268095,
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@article{bb268097,
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@article{bb268099,
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Last update:Jun 27, 2022 at 12:58:02