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@article{bb283001,
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@article{bb283002,
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        NUMBER = "12",
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@article{bb283003,
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Sensing Data",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277664"}

@article{bb283004,
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using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277665"}

@article{bb283005,
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        TITLE = "A Review of Tree Species Classification Based on Airborne LiDAR Data
and Applied Classifiers",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277666"}

@article{bb283006,
        AUTHOR = "Yan, S.J. and Jing, L.H. and Wang, H.",
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Convolutional Neural Network and High-Spatial Resolution Remote
Sensing Imagery",
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        NUMBER = "3",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277667"}

@article{bb283007,
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Assessment of Tree Species Proportions",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277668"}

@article{bb283008,
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        TITLE = "Evaluating Multi-Sensors Spectral and Spatial Resolutions for Tree
Species Diversity Prediction",
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@article{bb283009,
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Using Airborne Hyperspectral Images",
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@article{bb283010,
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Using High-Density Airborne Laser Scanning Data",
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@article{bb283011,
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        TITLE = "Deep Learning and Phenology Enhance Large-Scale Tree Species
Classification in Aerial Imagery during a Biosecurity Response",
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@article{bb283012,
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Aerial Vehicle Approach in Boreal Forests",
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        NUMBER = "9",
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@article{bb283013,
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Classification in Multi-Species Forest Using UAS Imagery and Semantic
Segmentation Algorithms",
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@article{bb283014,
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Vegetation Indices on the Quantification of Woody Mediterranean
Species Seasonality Using Remote Sensing",
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        NUMBER = "10",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277675"}

@article{bb283015,
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object recognition with an application to tree species classification",
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@article{bb283016,
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        TITLE = "Investigating the Relationship between Tree Species Diversity and
Landsat-8 Spectral Heterogeneity across Multiple Phenological Stages",
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        NUMBER = "13",
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@article{bb283017,
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        TITLE = "A Comparison of Multi-Temporal RGB and Multispectral UAS Imagery for
Tree Species Classification in Heterogeneous New Hampshire Forests",
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        NUMBER = "13",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277678"}

@article{bb283018,
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        TITLE = "Using Discrete-Point LiDAR to Classify Tree Species in the Riparian
Pacific Northwest, USA",
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@article{bb283019,
        AUTHOR = "Xu, K.J. and Zhang, Z.Y. and Yu, W. and Zhao, P. and Yue, J. and Deng, Y.P. and Geng, J.",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277680"}

@article{bb283020,
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Using Remote Sensing",
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@article{bb283021,
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@article{bb283023,
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@article{bb283024,
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@article{bb283026,
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@article{bb283028,
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@article{bb283029,
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@article{bb283030,
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@article{bb283031,
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@article{bb283032,
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@article{bb283033,
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@article{bb283034,
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@article{bb283035,
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@article{bb283036,
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@article{bb283038,
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@article{bb283040,
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@article{bb283048,
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@article{bb283049,
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@article{bb283050,
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Instance Segmentation Algorithm for Individual Tree Species
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        NUMBER = "13",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952ts1.html#TT277712"}

@article{bb283052,
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        TITLE = "Comparing PlanetScope and Sentinel-2 Imagery for Mapping Mountain
Pines in the Sarntal Alps, Italy",
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        NUMBER = "13",
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@article{bb283053,
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@article{bb283054,
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@article{bb283055,
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species in Maine using Sentinel-2 imagery and site variables:
Assessing the effect of leaf trait expression and upscaling approach
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        NUMBER = "19",
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@article{bb283057,
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@article{bb283058,
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@article{bb283059,
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Tree-Level Morphometric Traits across Different Pine Species
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@article{bb283061,
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@article{bb283063,
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@inproceedings{bb283068,
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@inproceedings{bb283069,
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@inproceedings{bb283070,
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@inproceedings{bb283071,
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@inproceedings{bb283072,
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@article{bb283096,
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@article{bb283098,
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Last update:Jan 23, 2023 at 16:42:47