24.4.13.3 Trees, Forest Canopy Analysis

Chapter Contents (Back)
Forest Canopy. Forest. Trees. Canopy.
See also Canopy Water Content.
See also Trees, Individual Trees.
See also Trees, Forest, Stem Volume, Aboveground Biomass Measurements.
See also Clumping Index, Measurement, Effects.

Li, X., and Strahler, A.H.,
Geometric-optical modeling of a conifer forest canopy,
GeoRS(23), No. 5, September 1985, pp. 705-720. BibRef 8509

Li, X., and Strahler, A.H.,
Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing,
GeoRS(30), No. 3, March 1992, pp. 276-292. BibRef 9203

Sheng, Y.W.[Yong-Wei], Gong, P.[Peng], Biging, G.S.[Gregory S.],
Model-Based Conifer Canopy Surface Reconstruction from Photographic Imagery: Overcoming the Occlusion, Foreshortening, and Edge Effects,
PhEngRS(69), No. 3, March 2003, pp. 249-258. The capability of the model-based surface reconstruction approach is extended from recovering the crown surface of a single tree to reconstructing the canopy surface of a tree stand, and is further developed to canopy surface reconstruction for complicated tree stands.
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Sheng, Y.W.[Yong-Wei], Gong, P.[Peng], Biging, G.S.[Gregory S.],
True Orthoimage Production for Forested Areas from Large-Scale Aerial Photographs,
PhEngRS(69), No. 3, March 2003, pp. 259-266. An effort for removing occlusion and correcting canopy relief displacement using a canopy surface model (CSM) in true orthoimage generation for forested areas is described.
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Houldcroft, C.J., Campbell, C.L., Davenport, I.J., Gurney, R.J., Holden, N.,
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IEEE DOI 0510
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Xu, F., Jin, Y.Q.,
Multiparameter Inversion of a Layer of Vegetation Canopy Over Rough Surface From the System Response Function Based on the Mueller Matrix Solution of Pulse Echoes,
GeoRS(44), No. 7, Part 2, July 2006, pp. 2003-2015.
IEEE DOI 0606
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Verhoef, W., Jia, L., Xiao, Q., Su, Z.,
Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies,
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IEEE DOI 0706
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Yang, P.Q.[Pei-Qi], Verhoef, W.[Wout], van der Tol, C.[Christiaan],
Unified Four-Stream Radiative Transfer Theory in the Optical-Thermal Domain with Consideration of Fluorescence for Multi-Layer Vegetation Canopies,
RS(12), No. 23, 2020, pp. xx-yy.
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de Chant, T.[Tim], Kelly, M.[Maggi],
Individual Object Change Detection for Monitoring the Impact of a Forest Pathogen on a Hardwood Forest,
PhEngRS(75), No. 8, August 2009, pp. 1005-1014.
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A novel change detection technique for tracking changes in individual forest canopy gaps over multiple years of imagery. BibRef

Liu, D., Sun, G., Guo, Z., Ranson, K.J., Du, Y.,
Three-Dimensional Coherent Radar Backscatter Model and Simulations of Scattering Phase Center of Forest Canopies,
GeoRS(48), No. 1, January 2010, pp. 349-357.
IEEE DOI 1001
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Neumann, M., Ferro-Famil, L., Reigber, A.,
Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data,
GeoRS(48), No. 3, March 2010, pp. 1086-1104.
IEEE DOI 1003
BibRef

Hosoi, F.[Fumiki], Nakai, Y.[Yohei], Omasa, K.[Kenji],
Estimation and Error Analysis of Woody Canopy Leaf Area Density Profiles Using 3-D Airborne and Ground-Based Scanning Lidar Remote-Sensing Techniques,
GeoRS(48), No. 5, May 2010, pp. 2215-2223.
IEEE DOI 1006
BibRef
Earlier: A2, A1, A3:
Estimating Carbon Stocks of Coniferous, Woody Canopy Trees Using Airborne Lidar and Passive Optical Sensor,
Laser09(289). 0909
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Dorigo, W., Richter, R., Baret, F., Bamler, R., Wagner, W.,
Enhanced Automated Canopy Characterization from Hyperspectral Data by a Novel Two Step Radiative Transfer Model Inversion Approach,
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DOI Link 1203
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Wang, J., Lang, P.,
Detection of Cypress Canopies in the Florida Panhandle Using Subpixel Analysis and GIS,
RS(1), No. 4, December 2009, pp. 1028-1042.
DOI Link 1203
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Peña, M.A.[Marco A.], Brenning, A.[Alexander], Sagredo, A.[Ariel],
Constructing satellite-derived hyperspectral indices sensitive to canopy structure variables of a Cordilleran Cypress (Austrocedrus chilensis) forest,
PandRS(74), No. 1, November 2012, pp. 1-10.
Elsevier DOI 1212
Hyperspectral imaging; Spectral indices; Austrocedrus chilensis; Forest canopy structure; False discovery rate; Multiple comparison problem BibRef

Gong, W.[Wei], Song, S.L.[Sha-Lei], Zhu, B.[Bo], Shi, S.[Shuo], Li, F.Q.[Fa-Quan], Cheng, X.W.[Xue-Wu],
Multi-wavelength canopy LiDAR for remote sensing of vegetation: Design and system performance,
PandRS(69), No. 1, April 2012, pp. 1-9.
Elsevier DOI 1202
Multi-wavelength canopy LiDAR; Remote sensing; Vegetation physiology; Wavelength selection; Laser vegetation index BibRef

Tabatabaeenejad, A., Burgin, M., Moghaddam, M.,
Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests,
GeoRS(50), No. 6, June 2012, pp. 2150-2160.
IEEE DOI 1205
BibRef

Sharma, R.C.[Ram C.], Kajiwara, K.[Koji], Honda, Y.[Yoshiaki],
Estimation of forest canopy structural parameters using kernel-driven bi-directional reflectance model based multi-angular vegetation indices,
PandRS(78), No. 1, April 2013, pp. 50-57.
Elsevier DOI 1304
Forest canopy; Canopy 3D structure; Near-surface bi-directional reflectance; Multi-angular vegetation indices; BRDF parameters; Canopy structural index BibRef

Zhao, F.[Feng], Guo, Y.Q.[Yi-Qing], Verhoef, W.[Wout], Gu, X.F.[Xing-Fa], Liu, L.Y.[Liang-Yun], Yang, G.J.[Gui-Jun],
A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements,
RS(6), No. 10, 2014, pp. 10171-10192.
DOI Link 1411
BibRef

Hightower, J.N.[Jessica N.], Butterfield, A.C.[A. Christine], Weishampel, J.F.[John F.],
Quantifying Ancient Maya Land Use Legacy Effects on Contemporary Rainforest Canopy Structure,
RS(6), No. 11, 2014, pp. 10716-10732.
DOI Link 1412
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Hernandez-Clemente, R., Navarro-Cerrillo, R.M., Zarco-Tejada, P.J.,
Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation,
GeoRS(52), No. 8, August 2014, pp. 5206-5217.
IEEE DOI 1403
Hyperspectral imaging BibRef

Asner, G.P.[Gregory P.], Martin, R.E.[Roberta E.],
Spectroscopic Remote Sensing of Non-Structural Carbohydrates in Forest Canopies,
RS(7), No. 4, 2015, pp. 3526-3547.
DOI Link 1505
BibRef

Li, C.R.[Cong-Rong], Song, J.L.[Jin-Ling], Wang, J.[Jindi],
Modifying Geometric-Optical Bidirectional Reflectance Model for Direct Inversion of Forest Canopy Leaf Area Index,
RS(7), No. 9, 2015, pp. 11083.
DOI Link 1511
BibRef

Hansen, E.H.[Endre Hofstad], Gobakken, T.[Terje], Næsset, E.[Erik],
Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest,
RS(7), No. 7, 2015, pp. 8453.
DOI Link 1506
BibRef

Ferraz, A., Mallet, C., Jacquemoud, S., Rito Goncalves, G., Tome, M., Soares, P., Gomes Pereira, L., Bretar, F.,
Canopy Density Model: A New ALS-Derived Product to Generate Multilayer Crown Cover Maps,
GeoRS(53), No. 12, December 2015, pp. 6776-6790.
IEEE DOI 1512
geophysical techniques BibRef

Song, Y., Imanishi, J., Hashimoto, H., Morimura, A., Morimoto, Y., Kitada, K.,
Spectral Correction for the Effect of Crown Shape at the Single-Tree Level: An Approach Using a Lidar-Derived Digital Surface Model for Broad-Leaved Canopy,
GeoRS(51), No. 2, February 2013, pp. 755-764.
IEEE DOI 1302
BibRef

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 Implications for Sun Safety Policies: The Los Angeles Unified School District,
IJGI(4), No. 2, 2015, pp. 607-625.
DOI Link 1505
BibRef

Pimont, F.[François], Dupuy, J.L.[Jean-Luc], Rigolot, E.[Eric], Prat, V.[Vincent], 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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And: Correction: RS(8), No. 1, 2016, pp. 64.
DOI Link 1602
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McManus, K.M.[Kelly M.], Asner, G.P.[Gregory P.], Martin, R.E.[Roberta E.], Dexter, K.G.[Kyle G.], Kress, W.J.[W. John], Field, C.B.[Christopher B.],
Phylogenetic Structure of Foliar Spectral Traits in Tropical Forest Canopies,
RS(8), No. 3, 2016, pp. 196.
DOI Link 1604
BibRef

Wang, Z.H.[Zhi-Hui], Wang, T.J.[Tie-Jun], Darvishzadeh, R.[Roshanak], Skidmore, A.K.[Andrew K.], Jones, S.[Simon], Suarez, L.[Lola], Woodgate, W.[William], Heiden, U.[Uta], Heurich, M.[Marco], Hearne, J.[John],
Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest,
RS(8), No. 6, 2016, pp. 491.
DOI Link 1608
BibRef

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 radiative transfer models and continuous wavelet analysis,
PandRS(122), No. 1, 2016, pp. 68-80.
Elsevier DOI 1612
Continuous wavelet analysis BibRef

Mahoney, C.[Craig], Hopkinson, C.[Chris], Kljun, N.[Natascha], van Gorsel, E.[Eva],
Estimating Canopy Gap Fraction Using ICESat GLAS within Australian Forest Ecosystems,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Dutta, D., Wang, K., Lee, E., Goodwell, A., Woo, D.K., Wagner, D., Kumar, P.,
Characterizing Vegetation Canopy Structure Using Airborne Remote Sensing Data,
GeoRS(55), No. 2, February 2017, pp. 1160-1178.
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 Remote Sensing,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

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 BibRef

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