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Li, X., and
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Geometric-optical bidirectional reflectance
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Sheng, Y.W.[Yong-Wei],
Gong, P.[Peng],
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The capability of the model-based surface reconstruction approach is
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0510
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0606
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0706
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Unified Four-Stream Radiative Transfer Theory in the Optical-Thermal
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2012
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Individual Object Change Detection for Monitoring the Impact of a
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0910
A novel change detection technique for tracking changes in individual
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Three-Dimensional Coherent Radar Backscatter Model and Simulations of
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IEEE DOI
1001
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Estimation of Forest Structure, Ground, and Canopy Layer
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IEEE DOI
1003
BibRef
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Estimation and Error Analysis of Woody Canopy Leaf Area Density
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IEEE DOI
1006
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Earlier: A2, A1, A3:
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0909
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1203
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1212
Hyperspectral imaging; Spectral indices; Austrocedrus chilensis; Forest
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Song, S.L.[Sha-Lei],
Zhu, B.[Bo],
Shi, S.[Shuo],
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1202
Multi-wavelength canopy LiDAR; Remote sensing; Vegetation physiology;
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1205
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1304
Forest canopy; Canopy 3D structure; Near-surface bi-directional
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Guo, Y.Q.[Yi-Qing],
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A Method to Reconstruct the Solar-Induced Canopy Fluorescence
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1411
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Hightower, J.N.[Jessica N.],
Butterfield, A.C.[A. Christine],
Weishampel, J.F.[John F.],
Quantifying Ancient Maya Land Use Legacy Effects on Contemporary
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1412
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Hernandez-Clemente, R.,
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Deriving Predictive Relationships of Carotenoid Content at the Canopy
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IEEE DOI
1403
Hyperspectral imaging
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Asner, G.P.[Gregory P.],
Martin, R.E.[Roberta E.],
Spectroscopic Remote Sensing of Non-Structural Carbohydrates in
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1505
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Modifying Geometric-Optical Bidirectional Reflectance Model for
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1511
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Hansen, E.H.[Endre Hofstad],
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Effects of Pulse Density on Digital Terrain Models and Canopy Metrics
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1506
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Ferraz, A.,
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Gomes Pereira, L.,
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Canopy Density Model: A New ALS-Derived Product to Generate
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IEEE DOI
1512
geophysical techniques
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Song, Y.,
Imanishi, J.,
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Morimoto, Y.,
Kitada, K.,
Spectral Correction for the Effect of Crown Shape at the Single-Tree
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GeoRS(51), No. 2, February 2013, pp. 755-764.
IEEE DOI
1302
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Moreno, A.[April],
Tangenberg, J.[John],
Hilton, B.N.[Brian N.],
Hilton, J.K.[June K.],
An Environmental Assessment of School Shade Tree Canopy and
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1505
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Piboule, A.[Alexandre],
Estimating Leaf Bulk Density Distribution in a Tree Canopy Using
Terrestrial LiDAR and a Straightforward Calibration Procedure,
RS(7), No. 6, 2015, pp. 7995.
DOI Link
1507
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Correction:
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DOI Link
1602
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McManus, K.M.[Kelly M.],
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Martin, R.E.[Roberta E.],
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Phylogenetic Structure of Foliar Spectral Traits in Tropical Forest
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RS(8), No. 3, 2016, pp. 196.
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1604
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Wang, Z.H.[Zhi-Hui],
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Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed
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1608
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Ali, A.M.[Abebe Mohammed],
Skidmore, A.K.[Andrew K.],
Darvishzadeh, R.[Roshanak],
van Duren, I.[Iris],
Holzwarth, S.[Stefanie],
Mueller, J.[Joerg],
Retrieval of forest leaf functional traits from HySpex imagery using
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Elsevier DOI
1612
Continuous wavelet analysis
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Mahoney, C.[Craig],
Hopkinson, C.[Chris],
Kljun, N.[Natascha],
van Gorsel, E.[Eva],
Estimating Canopy Gap Fraction Using ICESat GLAS within Australian
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1702
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Dutta, D.,
Wang, K.,
Lee, E.,
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Wagner, D.,
Kumar, P.,
Characterizing Vegetation Canopy Structure Using Airborne Remote
Sensing Data,
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IEEE DOI
1702
forestry
BibRef
Hardiman, B.S.[Brady S.],
Gough, C.M.[Christopher M.],
Butnor, J.R.[John R.],
Bohrer, G.[Gil],
Detto, M.[Matteo],
Curtis, P.S.[Peter S.],
Coupling Fine-Scale Root and Canopy Structure Using Ground-Based
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1703
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Perroy, R.L.[Ryan L.],
Sullivan, T.[Timo],
Stephenson, N.[Nathan],
Assessing the impacts of canopy openness and flight parameters on
detecting a sub-canopy tropical invasive plant using a small unmanned
aerial system,
PandRS(125), No. 1, 2017, pp. 174-183.
Elsevier DOI
1703
Miconia calvescens
BibRef
Zhou, Y.,
Hilker, T.,
Ju, W.,
Coops, N.C.,
Black, T.A.,
Chen, J.M.,
Wu, X.,
Modeling Gross Primary Production for Sunlit and Shaded Canopies
Across an Evergreen and a Deciduous Site in Canada,
GeoRS(55), No. 4, April 2017, pp. 1859-1873.
IEEE DOI
1704
forestry
BibRef
Bremer, M.[Magnus],
Wichmann, V.[Volker],
Rutzinger, M.[Martin],
Calibration and Validation of a Detailed Architectural Canopy Model
Reconstruction for the Simulation of Synthetic Hemispherical Images
and Airborne LiDAR Data,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link
1704
BibRef
Harikumar, A.,
Bovolo, F.,
Bruzzone, L.,
An Internal Crown Geometric Model for Conifer Species Classification
With High-Density LiDAR Data,
GeoRS(55), No. 5, May 2017, pp. 2924-2940.
IEEE DOI
1705
forestry, geophysical image processing, image classification,
optical radar, remote sensing by laser beam,
support vector machines, vegetation, Italy, Trentino region,
conifer species classification, conifer tree,
forest management practice, forest vertical profile,
high-density LiDAR data,
high-density small footprint multireturn airborne light detection and ranging scanning,
internal branch structure model,
internal crown geometric model, principal component analysis,
support vector machine, tree external crown characteristics,
tree species, Atmospheric modeling, Data models, Laser radar,
Optical imaging, Optical sensors, Support vector machines,
Vegetation, Airborne laser scanning, conifers, feature extraction,
forestry, light detection and ranging (LiDAR),
support vector machines (SVMs), tree, species
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Milenkovic, M.[Milutin],
Wagner, W.[Wolfgang],
Quast, R.[Raphael],
Hollaus, M.[Markus],
Ressl, C.[Camillo],
Pfeifer, N.[Norbert],
Total canopy transmittance estimated from small-footprint,
full-waveform airborne LiDAR,
PandRS(128), No. 1, 2017, pp. 61-72.
Elsevier DOI
1706
Airborne, laser, scanning
BibRef
Hamraz, H.[Hamid],
Contreras, M.A.[Marco A.],
Zhang, J.[Jun],
Vertical stratification of forest canopy for segmentation of
understory trees within small-footprint airborne LiDAR point clouds,
PandRS(130), No. 1, 2017, pp. 385-392.
Elsevier DOI
1708
Remote, sensing
BibRef
Yin, G.,
Li, A.,
Zhao, W.,
Jin, H.,
Bian, J.,
Wu, S.,
Modeling Canopy Reflectance Over Sloping Terrain Based on Path Length
Correction,
GeoRS(55), No. 8, August 2017, pp. 4597-4609.
IEEE DOI
1708
Biological system modeling, Computational modeling,
Remote sensing, Scattering, Solid modeling, Surface topography,
Vegetation mapping, Canopy reflectance (CR) modeling,
path length correction (PLC), radiative transfer, remote sensing,
topographic, effects
BibRef
de Moura, Y.M.[Yhasmin Mendes],
Soares Galvão, L.[Lênio],
Hilker, T.[Thomas],
Wu, J.[Jin],
Saleska, S.[Scott],
do Amaral, C.H.[Cibele Hummel],
Nelson, B.W.[Bruce Walker],
Lopes, A.P.[Aline Pontes],
Wiedeman, K.K.[Kenia K.],
Prohaska, N.[Neill],
de Oliveira, R.C.[Raimundo Cosme],
Machado, C.B.[Carolyne Bueno],
Aragão, L.E.O.C.[Luiz E.O.C.],
Spectral analysis of amazon canopy phenology during the dry season
using a tower hyperspectral camera and modis observations,
PandRS(131), No. 1, 2017, pp. 52-64.
Elsevier DOI
1709
Phenology
BibRef
Shen, X.[Xin],
Cao, L.[Lin],
Tree-Species Classification in Subtropical Forests Using Airborne
Hyperspectral and LiDAR Data,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Shen, X.[Xin],
Cao, L.[Lin],
Chen, D.[Dong],
Sun, Y.[Yuan],
Wang, G.[Guibin],
Ruan, H.H.[Hong-Hua],
Prediction of Forest Structural Parameters Using Airborne
Full-Waveform LiDAR and Hyperspectral Data in Subtropical Forests,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Zhang, Z.N.[Zheng-Nan],
Cao, L.[Lin],
She, G.H.[Guang-Hui],
Estimating Forest Structural Parameters Using Canopy Metrics Derived
from Airborne LiDAR Data in Subtropical Forests,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Senécal, J.F.[Jean-Francois],
Doyon, F.[Frédérik],
Messier, C.[Christian],
Tree Death Not Resulting in Gap Creation: An Investigation of Canopy
Dynamics of Northern Temperate Deciduous Forests,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Wu, Q.L.[Qiao-Li],
Song, C.H.[Cong-He],
Song, J.L.[Jin-Ling],
Wang, J.[Jindi],
Chen, S.Y.[Shao-Yuan],
Yu, B.[Bo],
Impacts of Leaf Age on Canopy Spectral Signature Variation in
Evergreen Chinese Fir Forests,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Feng, Z.,
Chen, Y.,
Hyyppo, J.,
Hakala, T.,
Zhou, H.,
Wang, Y.,
Karjalainen, M.,
Estimating Ground Level and Canopy Top Elevation With Airborne
Microwave Profiling Radar,
GeoRS(56), No. 4, April 2018, pp. 2283-2294.
IEEE DOI
1804
Estimation, Laser radar, Microwave theory and techniques,
Radar remote sensing, Spaceborne radar, Synthetic aperture radar,
tree canopy top elevation
BibRef
Gara, T.W.[Tawanda W.],
Darvishzadeh, R.[Roshanak],
Skidmore, A.K.[Andrew K.],
Wang, T.J.[Tie-Jun],
Impact of Vertical Canopy Position on Leaf Spectral Properties and
Traits across Multiple Species,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Ni, W.,
Zhang, Z.,
Sun, G.,
Liu, Q.,
Modeling Interferometric SAR Features of Forest Canopies Over
Mountainous Area at Landscape Scales,
GeoRS(56), No. 5, May 2018, pp. 2958-2967.
IEEE DOI
1805
Analytical models, Backscatter, Biological system modeling,
Scattering, Solid modeling, Synthetic aperture radar, Vegetation,
synthetic aperture radar (SAR)
BibRef
Cuba, N.[Nicholas],
Rogan, J.[John],
Lawrence, D.[Deborah],
Williams, C.[Christopher],
Cross-Scale Correlation between In Situ Measurements of Canopy Gap
Fraction and Landsat-Derived Vegetation Indices with Implications for
Monitoring the Seasonal Phenology in Tropical Forests Using MODIS
Data,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Lin, C.S.[Chin-Su],
A Generalized Logistic-Gaussian-Complex Signal Model for the
Restoration of Canopy SWIR Hyperspectral Reflectance,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
Short Wave IR
BibRef
Shin, P.[Patrick],
Sankey, T.[Temuulen],
Moore, M.M.[Margaret M.],
Thode, A.E.[Andrea E.],
Evaluating Unmanned Aerial Vehicle Images for Estimating Forest
Canopy Fuels in a Ponderosa Pine Stand,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Lin, S.R.[Shang-Rong],
Li, J.[Jing],
Liu, Q.H.[Qin-Huo],
Huete, A.[Alfredo],
Li, L.H.[Long-Hui],
Effects of Forest Canopy Vertical Stratification on the Estimation of
Gross Primary Production by Remote Sensing,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Bagaram, M.B.[Martin B.],
Giuliarelli, D.[Diego],
Chirici, G.[Gherardo],
Giannetti, F.[Francesca],
Barbati, A.[Anna],
UAV Remote Sensing for Biodiversity Monitoring:
Are Forest Canopy Gaps Good Covariates?,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Levashova, N.[Natalia],
Lukyanenko, D.[Dmitry],
Mukhartova, Y.[Yulia],
Olchev, A.[Alexander],
Application of a Three-Dimensional Radiative Transfer Model to
Retrieve the Species Composition of a Mixed Forest Stand from Canopy
Reflected Radiation,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Cao, B.,
Guo, M.,
Fan, W.,
Xu, X.,
Peng, J.,
Ren, H.,
Du, Y.,
Li, H.,
Bian, Z.,
Hu, T.,
Xiao, Q.,
Liu, Q.,
A New Directional Canopy Emissivity Model Based on Spectral
Invariants,
GeoRS(56), No. 12, December 2018, pp. 6911-6926.
IEEE DOI
1812
Mathematical model, Photonics, Soil, Vegetation mapping, Probability,
Absorption, Scattering, Canopy emissivity, land surface emissivity,
spectral invariants
BibRef
Wang, W.[Weile],
Nemani, R.[Ramakrishna],
Hashimoto, H.[Hirofumi],
Ganguly, S.[Sangram],
Huang, D.[Dong],
Knyazikhin, Y.[Yuri],
Myneni, R.[Ranga],
Bala, G.[Govindasamy],
An Interplay between Photons, Canopy Structure, and Recollision
Probability: A Review of the Spectral Invariants Theory of 3D Canopy
Radiative Transfer Processes,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Adams, J.[Jennifer],
Lewis, P.[Philip],
Disney, M.[Mathias],
Decoupling Canopy Structure and Leaf Biochemistry: Testing the
Utility of Directional Area Scattering Factor (DASF),
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Wu, H.Y.[Hui-Ying],
Levin, N.[Noam],
Seabrook, L.[Leonie],
Moore, B.D.[Ben D.],
McAlpine, C.[Clive],
Mapping Foliar Nutrition Using WorldView-3 and WorldView-2 to Assess
Koala Habitat Suitability,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Huesca, M.[Margarita],
Roth, K.L.[Keely L.],
García, M.[Mariano],
Ustin, S.L.[Susan L.],
Discrimination of Canopy Structural Types in the Sierra Nevada
Mountains in Central California,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Xu, N.X.[Nian-Xu],
Tian, J.[Jia],
Tian, Q.J.[Qing-Jiu],
Xu, K.J.[Kai-Jian],
Tang, S.F.[Shao-Fei],
Analysis of Vegetation Red Edge with Different Illuminated/Shaded
Canopy Proportions and to Construct Normalized Difference Canopy
Shadow Index,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Hallik, L.[Lea],
Kuusk, A.[Andres],
Lang, M.[Mait],
Kuusk, J.[Joel],
Reflectance Properties of Hemiboreal Mixed Forest Canopies with Focus
on Red Edge and Near Infrared Spectral Regions,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Cogliati, S.[Sergio],
Celesti, M.[Marco],
Cesana, I.[Ilaria],
Miglietta, F.[Franco],
Genesio, L.[Lorenzo],
Julitta, T.[Tommaso],
Schuettemeyer, D.[Dirk],
Drusch, M.[Matthias],
Rascher, U.[Uwe],
Jurado, P.[Pedro],
Colombo, R.[Roberto],
A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum
from Canopy Radiance,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Verrelst, J.[Jochem],
Vicent, J.[Jorge],
Rivera-Caicedo, J.P.[Juan Pablo],
Lumbierres, M.[Maria],
Morcillo-Pallarés, P.[Pablo],
Moreno, J.[José],
Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs:
Implications for Biophysical Variables Retrieval from
Top-of-Atmosphere Radiance Data,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Dai, W.X.[Wen-Xia],
Yang, B.S.[Bi-Sheng],
Liang, X.L.[Xin-Lian],
Dong, Z.[Zhen],
Huang, R.G.[Rong-Gang],
Wang, Y.S.[Yun-Sheng],
Li, W.[Wuyan],
Automated fusion of forest airborne and terrestrial point clouds
through canopy density analysis,
PandRS(156), 2019, pp. 94-107.
Elsevier DOI
1909
Airborne laser scanning (ALS),
Terrestrial laser scanning (TLS), Forest, Point clouds, Registration
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Canopy Water Content .