24.4.13.7.11 Forest Analysis, Canopy Heights, LiDAR

Chapter Contents (Back)
Canopy Height. Forest. LIDAR. Other Techniques:
See also Canopy Height Measurement.

Henning, J.G.[Jason G.], Radtke, P.J.[Philip J.],
Ground-based Laser Imaging for Assessing Three Dimensional Forest Canopy Structure,
PhEngRS(72), No. 12, December 2006, pp. 1349-1358.
WWW Link. 0704
Spatial distributions of plant area, leaf area, tree positions, canopy height, and terrain elevation were generated for a deciduous forest in an exploratory application of high-resolution ground-based laser imaging. BibRef

Hollaus, M., Wagner, W., Eberhöfer, C., Karel, W.,
Accuracy of large-scale canopy heights derived from LiDAR data under operational constraints in a complex alpine environment,
PandRS(60), No. 5, August 2006, pp. 323-338.
Elsevier DOI 0610
Alpine forest; LiDAR; Canopy height; DTM; Forest inventory BibRef

Rowell, E.[Eric], Seielstad, C.[Carl], Vierling, L.A.[Lee A.], Queen, L.[Lloyd], Shepperd, W.[Wayne],
Using Laser Altimetry-based Segmentation to Refine Automated Tree Identification in Managed Forests of the Black Hills, South Dakota,
PhEngRS(72), No. 12, December 2006, pp. 1379-1388.
WWW Link. 0704
A comparison of landscape segmentation techniques, including using a combination laser based canopy height variance/percent canopy cover classification coupled with smoothing decisions to improve automated stem detection using a variable window-size algorithm. BibRef

Brown, Jr., C.G., Sarabandi, K., Pierce, L.E.,
Model-Based Estimation of Forest Canopy Height in Red and Austrian Pine Stands Using Shuttle Radar Topography Mission and Ancillary Data: A Proof-of-Concept Study,
GeoRS(48), No. 3, March 2010, pp. 1105-1118.
IEEE DOI 1003

See also Validation of the Shuttle Radar Topography Mission Height Data. BibRef

Järnstedt, J., Pekkarinen, A., Tuominen, S., Ginzler, C., Holopainen, M., Viitala, R.,
Forest variable estimation using a high-resolution digital surface model,
PandRS(74), No. 1, November 2012, pp. 78-84.
Elsevier DOI 1212
Photogrammetric surface model; Canopy height model; Airborne laser scanning; Forest inventory BibRef

Wolf, J., Fricker, G., Meyer, V., Hubbell, S., Gillespie, T., Saatchi, S.,
Plant Species Richness is Associated with Canopy Height and Topography in a Neotropical Forest,
RS(4), No. 12, December 2012, pp. 4010-4021.
DOI Link 1211
BibRef

Cartus, O., Kellndorfer, J., Rombach, M., Walker, W.,
Mapping Canopy Height and Growing Stock Volume Using Airborne Lidar, ALOS PALSAR and Landsat ETM+,
RS(4), No. 11, November 2012, pp. 3320-3345.
DOI Link 1211
BibRef

Hayashi, M.[Masato], Saigusa, N.[Nobuko], Oguma, H.[Hiroyuki], Yamagata, Y.[Yoshiki],
Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan,
PandRS(81), No. 1, July 2013, pp. 12-18.
Elsevier DOI 1306
Ecosystem; Canopy height; ICESat/GLAS; Spaceborne LiDAR; Full waveform BibRef

Wang, X., Huang, H., Gong, P., Liu, C., Li, C., Li, W.,
Forest Canopy Height Extraction in Rugged Areas With ICESat/GLAS Data,
GeoRS(52), No. 8, August 2014, pp. 4650-4657.
IEEE DOI 1403
Earth BibRef

Neigh, C.S.R.[Christopher S. R.], Masek, J.G.[Jeffrey G.], Bourget, P.[Paul], Cook, B.[Bruce], Huang, C.Q.[Cheng-Quan], Rishmawi, K.[Khaldoun], Zhao, F.[Feng],
Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR,
RS(6), No. 3, 2014, pp. 1762-1782.
DOI Link 1404
BibRef

Prush, V.[Veronica], Lohman, R.[Rowena],
Forest Canopy Heights in the Pacific Northwest Based on InSAR Phase Discontinuities across Short Spatial Scales,
RS(6), No. 4, 2014, pp. 3210-3226.
DOI Link 1405
BibRef

Park, T.[Taejin], Kennedy, R.E.[Robert E.], Choi, S.H.[Sung-Ho], Wu, J.W.[Jian-Wei], Lefsky, M.A.[Michael A.], Bi, J.[Jian], Mantooth, J.A.[Joshua A.], Myneni, R.B.[Ranga B.], Knyazikhin, Y.[Yuri],
Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS,
RS(6), No. 7, 2014, pp. 6566-6586.
DOI Link 1408
BibRef

Fayad, I.[Ibrahim], Baghdadi, N.[Nicolas], Bailly, J.S.[Jean-Stéphane], Barbier, N.[Nicolas], Gond, V.[Valéry], El Hajj, M.[Mahmoud], Fabre, F.[Frédéric], Bourgine, B.[Bernard],
Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions,
RS(6), No. 12, 2014, pp. 11883-11914.
DOI Link 1412
BibRef

Nie, S.[Sheng], Wang, C.[Cheng], Zeng, H.C.[Hong-Cheng], Xi, X.H.[Xiao-Huan], Xia, S.B.[Shao-Bo],
A revised terrain correction method for forest canopy height estimation using ICESat/GLAS data,
PandRS(108), No. 1, 2015, pp. 183-190.
Elsevier DOI 1511
ICESat BibRef

Gopalakrishnan, R.[Ranjith], Thomas, V.A.[Valerie A.], Coulston, J.W.[John W.], Wynne, R.H.[Randolph H.],
Prediction of Canopy Heights over a Large Region Using Heterogeneous Lidar Datasets: Efficacy and Challenges,
RS(7), No. 9, 2015, pp. 11036.
DOI Link 1511
BibRef

Wilkes, P.[Phil], Jones, S.D.[Simon D.], Suarez, L.[Lola], Mellor, A.[Andrew], Woodgate, W.[William], Soto-Berelov, M.[Mariela], Haywood, A.[Andrew], Skidmore, A.K.[Andrew K.],
Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data,
RS(7), No. 9, 2015, pp. 12563.
DOI Link 1511
BibRef

Ni, X.L.[Xi-Liang], Zhou, Y.[Yuke], Cao, C.X.[Chun-Xiang], Wang, X.J.[Xue-Jun], Shi, Y.[Yuli], Park, T.J.[Tae-Jin], Choi, S.H.[Sung-Ho], Myneni, R.B.[Ranga B.],
Mapping Forest Canopy Height over Continental China Using Multi-Source Remote Sensing Data,
RS(7), No. 7, 2015, pp. 8436.
DOI Link 1506
BibRef

Khosravipour, A.[Anahita], Skidmore, A.K.[Andrew K.], Wang, T.J.[Tie-Jun], Isenburg, M.[Martin], Khoshelham, K.[Kourosh],
Effect of slope on treetop detection using a LiDAR Canopy Height Model,
PandRS(104), No. 1, 2015, pp. 44-52.
Elsevier DOI 1505
LiDAR BibRef

Fieber, K.D.[Karolina D.], Davenport, I.J.[Ian J.], Tanase, M.A.[Mihai A.], Ferryman, J.M.[James M.], Gurney, R.J.[Robert J.], Becerra, V.M.[Victor M.], Walker, J.P.[Jeffrey P.], Hacker, J.M.[Jorg M.],
Validation of Canopy Height Profile methodology for small-footprint full-waveform airborne LiDAR data in a discontinuous canopy environment,
PandRS(104), No. 1, 2015, pp. 144-157.
Elsevier DOI 1505
Full-waveform BibRef

Maguya, A.S.[Almasi S.], Tegel, K.[Katri], Junttila, V.[Virpi], Kauranne, T.[Tuomo], Korhonen, M.[Markus], Burns, J.[Janice], Leppanen, V.[Vesa], Sanz, B.[Blanca],
Moving Voxel Method for Estimating Canopy Base Height from Airborne Laser Scanner Data,
RS(7), No. 7, 2015, pp. 8950.
DOI Link 1506
BibRef

Jensen, J.L.R.[Jennifer L. R.], Mathews, A.J.[Adam J.],
Assessment of Image-Based Point Cloud Products to Generate a Bare Earth Surface and Estimate Canopy Heights in a Woodland Ecosystem,
RS(8), No. 1, 2016, pp. 50.
DOI Link 1602
BibRef

Zielewska-Büttner, K.[Katarzyna], Adler, P.[Petra], Ehmann, M.[Michaela], Braunisch, V.[Veronika],
Automated Detection of Forest Gaps in Spruce Dominated Stands Using Canopy Height Models Derived from Stereo Aerial Imagery,
RS(8), No. 3, 2016, pp. 175.
DOI Link 1604
BibRef
And: Erratum: RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Tang, H.[Hao], Swatantran, A.[Anu], Barrett, T.[Terence], DeCola, P.[Phil], Dubayah, R.[Ralph],
Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar,
RS(8), No. 9, 2016, pp. 771.
DOI Link 1610
BibRef

Wolf, J.[Jeffrey], Brocard, G.[Gilles], Willenbring, J.[Jane], Porder, S.[Stephen], Uriarte, M.[María],
Abrupt Change in Forest Height along a Tropical Elevation Gradient Detected Using Airborne Lidar,
RS(8), No. 10, 2016, pp. 864.
DOI Link 1609
BibRef

Melin, M., Korhonen, L., Kukkonen, M., Packalen, P.,
Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover,
PandRS(129), No. 1, 2017, pp. 77-85.
Elsevier DOI 1706
Canopy cover BibRef

Gu, C.Y.[Cheng-Yan], Clevers, J.G.P.W.[Jan G.P.W.], Liu, X.[Xiao], Tian, X.[Xin], Li, Z.Y.[Zhou-Yuan], Li, Z.Y.[Zeng-Yuan],
Predicting forest height using the GOST, Landsat 7 ETM+, and airborne LiDAR for sloping terrains in the Greater Khingan Mountains of China,
PandRS(137), 2018, pp. 97-111.
Elsevier DOI 1802
Forest height, Geometric-Optical Model for Sloping Terrains (GOST), Landsat BibRef

Zhou, H.[Hui], Chen, Y.W.[Yu-Wei], Feng, Z.Y.[Zi-Yi], Li, F.[Fashuai], Hyyppä, J.[Juha], Hakala, T.[Teemu], Karjalainen, M.[Mika], Jiang, C.H.[Chang-Hui], Pei, L.[Ling],
The Comparison of Canopy Height Profiles Extracted from Ku-band Profile Radar Waveforms and LiDAR Data,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Moorthy, S.M.K.[Sruthi M. Krishna], Calders, K.[Kim], di Porcia e Brugnera, M.[Manfredo], Schnitzer, S.A.[Stefan A.], Verbeeck, H.[Hans],
Terrestrial Laser Scanning to Detect Liana Impact on Forest Structure,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Calders, K.[Kim], Origo, N.[Niall], Burt, A.[Andrew], Disney, M.[Mathias], Nightingale, J.[Joanne], Raumonen, P.[Pasi], Åkerblom, M.[Markku], Malhi, Y.[Yadvinder], Lewis, P.[Philip],
Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Jin, S.C.[Shi-Chao], Su, Y.J.[Yan-Jun], Gao, S.[Shang], Hu, T.Y.[Tian-Yu], Liu, J.[Jin], Guo, Q.H.[Qing-Hua],
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Wylie, R.R.M.[Rebecca R.M.], Woods, M.E.[Murray E], Dech, J.P.[Jeffery P.],
Estimating Stand Age from Airborne Laser Scanning Data to Improve Models of Black Spruce Wood Density in the Boreal Forest of Ontario,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Versace, S.[Soraya], Gianelle, D.[Damiano], Frizzera, L.[Lorenzo], Tognetti, R.[Roberto], Garfì, V.[Vittorio], Dalponte, M.[Michele],
Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Mielcarek, M.[Milosz], Kaminska, A.[Agnieszka], Sterenczak, K.[Krzysztof],
Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Sang, M.T.[Meng-Ting], Xiao, H.[Hai], Jin, Z.[Zhili], He, J.[Junchen], Wang, N.[Nan], Wang, W.[Wei],
Improved Mapping of Regional Forest Heights by Combining Denoise and LightGBM Method,
RS(15), No. 23, 2023, pp. 5436.
DOI Link 2312
BibRef

He, W.J.[Wen-Jie], Zhu, J.J.[Jian-Jun], Lopez-Sanchez, J.M.[Juan M.], Gómez, C.[Cristina], Fu, H.Q.[Hai-Qiang], Xie, Q.H.[Qing-Hua],
Forest Height Inversion by Combining Single-Baseline TanDEM-X InSAR Data with External DTM Data,
RS(15), No. 23, 2023, pp. 5517.
DOI Link 2312
BibRef

Chen, F.[Feng], Zhang, X.[Xuqing], Wang, L.[Longyu], Du, B.[Bing], Dang, S.[Songya], Wang, L.W.[Lin-Wei],
Systematic Evaluation of Multi-Resolution ICESat-2 Canopy Height Data: A Case Study of the Taranaki Region,
RS(15), No. 24, 2023, pp. 5686.
DOI Link 2401
BibRef

Wu, Z.J.[Zhen-Jiang], Yao, F.[Fengmei], Zhang, J.H.[Jia-Hua], Ma, E.[Enhua], Yao, L.P.[Li-Ping], Dong, Z.W.[Zhao-Wei],
Genetic Programming Guided Mapping of Forest Canopy Height by Combining LiDAR Satellites with Sentinel-1/2, Terrain, and Climate Data,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef


Huang, S.C., Yeh, J.Y., Chen, C.T., Chen, J.C.,
Study On The Explainable Ability By Using Airborne Lidar In Stand Value And Stand Competition,
ISPRS16(B1: 19-23).
DOI Link 1610
BibRef

Chen, K.C., Wang, C.K.,
Evaluation Of Forest Canopy And Understory Gap Fraction Derived From Terrestrial Laser Scanning,
ISPRS16(B8: 589-591).
DOI Link 1610
BibRef

Ejares, J.A., Violanda, R.R., Diola, A.G., Dy, D.T., Otadoy, J.B., Otadoy, R.E.S.,
Tree Canopy Cover Mapping Using Lidar In Urban Barangays Of Cebu City, Central Philippines,
ISPRS16(B8: 611-615).
DOI Link 1610
BibRef

Tighe, M.L., King, D., Balzter, H., Bannari, A., Mcnairn, H.,
Airborne X-hh Incidence Angle Impact On Canopy Height Retreival: Implications For Spaceborne X-hh Tandem-x Global Canopy Height Model,
ISPRS12(XXXIX-B7:91-96).
DOI Link 1209
BibRef

Gallant, J.C., Read, A.M., Dowling, T.I.,
Removal Of Tree Offsets from SRTM and Other Digital Surface Models,
ISPRS12(XXXIX-B4:275-280).
DOI Link 1209
BibRef

Vetter, M.[Michael], Höfle, B.[Bernhard], Hollaus, M.[Markus], Gschöpf, C.[Christine], Mandlburger, G.[Gottfried], Pfeifer, N.[Norbert], Wagner, W.[Wolfgang],
Vertical Vegetation Structure Analysis and Hydraulic Roughness Determination Using Dense ALS Point Cloud Data: A Voxel Based Approach,
Laser11(xx-yy).
DOI Link 1109
BibRef

Latifi, H., Koch, B.,
Generalized Spatial Models of Forest Structure using Airborne Multispectral and Laser Scanner Data,
HighRes11(xx-yy).
PDF File. 1106
BibRef

Chen, G., Hay, G.J.,
A GEOBIA Approach to Estimate Large Area Forest Canopy Height Using LIDAR Transects and Quickbird Imagery,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Dong, L.X.[Li-Xin], Wu, B.F.[Bing-Fang],
A Comparison of Estimating Forest Canopy Height Integrating Multi-sensor data Synergy: A Case Study in Mountain Area of Three Gorges,
ISPRS08(B1: 379 ff).
PDF File. 0807
BibRef

Lo, C.Y., Chen, L.C.,
Canopy Extraction Using Airborne Laser Scanning Data in Forestry Areas,
ISPRS08(B3b: 367 ff).
PDF File. 0807
BibRef

Zhao, K.G.[Kai-Guang], Popescu, S.C.[Sorin C.],
Hierarchical Watershed Segmentation of Canopy Height Model for Multi-Scale Forest Inventory,
Laser07(436).
PDF File. 0709
BibRef

Zhang, Q., Mercer, J.B., Cloude, S.R.,
Forest Height Estimation from INDREX-II L-Band Polarimetric InSAR Data,
ISPRS08(B1: 343 ff).
PDF File. 0807
BibRef

Goepfert, J., Soerge, U.,
Estimation of the Lidar Height Offset in Coastal Vegetated Areas,
Laser07(156).
PDF File. 0709
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Forest Fire Evaluation, Wildfire Analysis, Brushfire Analysis, Fire Detection .


Last update:Mar 16, 2024 at 20:36:19