Trees, Forest Canopy Analysis

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Forest Canopy. Forest. Trees. Canopy. See also Trees, Individual Trees, Tree Crowns. See also Trees, Forest, Stem Volume, Biomass Measurements.

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.
WWW Link. 0304

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.
WWW Link. 0304

Houldcroft, C.J., Campbell, C.L., Davenport, I.J., Gurney, R.J., Holden, N.,
Measurement of canopy geometry characteristics using LiDAR laser altimetry: a feasibility study,
GeoRS(43), No. 10, October 2005, pp. 2270-2282.

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.

Verhoef, W., Jia, L., Xiao, Q., Su, Z.,
Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies,
GeoRS(45), No. 6, June 2007, pp. 1808-1822.

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.
WWW Link. 0910
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.

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.

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.
Earlier: A2, A1, A3:
Estimating Carbon Stocks of Coniferous, Woody Canopy Trees Using Airborne Lidar and Passive Optical Sensor,
Laser09(289). 0909

Cho, M.A., Debba, P., Mathieu, R., Naidoo, L., van Aardt, J., Asner, G.P.,
Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis,
GeoRS(48), No. 11, November 2010, pp. 4133-4142.

Miliaresis, G., Delikaraoglou, D.,
Effects of Percent Tree Canopy Density and DEM Misregistration on SRTM/NED Vegetation Height Estimates.,
RS(1), No. 2, June 2009, pp. 36-49.
DOI Link 1203

Du, H.Q.[Hua-Qiang], Fan, W.L.[Wei-Liang], Zhou, G.[Guomo], Xu, X.J.[Xiao-Jun], Ge, H.L.[Hong-Li], Shi, Y.J.[Yong-Jun], Zhou, Y.[Yufeng], Cui, R.[Ruirui], Lu, Y.[Yulong],
Retrieval of Canopy Closure and LAI of Moso Bamboo Forest Using Spectral Mixture Analysis Based on Real Scenario Simulation,
GeoRS(49), No. 11, November 2011, pp. 4328-4340.

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,
RS(1), No. 4, December 2009, pp. 1139-1170.
DOI Link 1203

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

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

Wei, G.[Gong], Shalei, S.[Song], Bo, Z.[Zhu], Shuo, S.[Shi], Faquan, L.[Li], Xuewu, C.[Cheng],
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.

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

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

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.
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

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

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

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.
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.

Mallinis, G.[Giorgos], Mitsopoulos, I.[Ioannis], Stournara, P.[Panagiota], Patias, P.[Petros], Dimitrakopoulos, A.[Alexandros],
Canopy Fuel Load Mapping of Mediterranean Pine Sites Based on Individual Tree-Crown Delineation,
RS(5), No. 12, 2013, pp. 6461-6480.
DOI Link 1402

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

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
And: Correction: RS(8), No. 1, 2016, pp. 64.
DOI Link 1602

Verma, N.K.[Niva Kiran], Lamb, D.W.[David W.], Reid, N.[Nick], Wilson, B.[Brian],
Comparison of Canopy Volume Measurements of Scattered Eucalypt Farm Trees Derived from High Spatial Resolution Imagery and LiDAR,
RS(8), No. 5, 2016, pp. 388.
DOI Link 1606

Chadwick, K.D.[K. Dana], Asner, G.P.[Gregory P.],
Organismic-Scale Remote Sensing of Canopy Foliar Traits in Lowland Tropical Forests,
RS(8), No. 2, 2016, pp. 87.
DOI Link 1603

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

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

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

Neuenschwander, A.L.[Amy L.], Magruder, L.A.[Lori A.],
The Potential Impact of Vertical Sampling Uncertainty on ICESat-2/ATLAS Terrain and Canopy Height Retrievals for Multiple Ecosystems,
RS(8), No. 12, 2016, pp. 1039.
DOI Link 1612

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

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.
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

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.
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

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.
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

Chen, C.F.[Chuan-Fa], Wang, Y.[Yifu], Li, Y.Y.[Yan-Yan], Yue, T.X.[Tian-Xiang], Wang, X.[Xin],
Robust and Parameter-Free Algorithm for Constructing Pit-Free Canopy Height Models,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708

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.
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

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

Sumnall, M.[Matthew], Fox, T.R.[Thomas R.], Wynne, R.H.[Randolph H.], Thomas, V.A.[Valerie A.],
Mapping the height and spatial cover of features beneath the forest canopy at small-scales using airborne scanning discrete return Lidar,
PandRS(133), No. Supplement C, 2017, pp. 186-200.
Elsevier DOI 1711
Managed forest, Loblolly pine, Lidar, Voxel, Height-bin, Understorey layer, Height, Horizontal, cover 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

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

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.
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

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.
Analytical models, Backscatter, Biological system modeling, Scattering, Solid modeling, Synthetic aperture radar, Vegetation, synthetic aperture radar (SAR) BibRef

Kuusk, A.[Andres], Pisek, J.[Jan], Lang, M.[Mait], Märdla, S.[Silja],
Estimation of Gap Fraction and Foliage Clumping in Forest Canopies,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808

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

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

Erfanifard, Y., Khodaee, Z.,
Canopy Density Mapping on Ultracam-D Aerial Imagery in Zagros Woodlands, Iran,
HTML Version. 1311

Duveiller, G., Defourny, P.,
Batch Processing of Hemispherical Photography Using Object-Based Image Analysis to Derive Canopy Biophysical Variables,
PDF File. 1007

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Trees, Forest, Stem Volume, Biomass Measurements .

Last update:Aug 16, 2018 at 18:22:30