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Original Articles

Relationship between LiDAR-derived forest canopy height and Landsat images

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Pages 1261-1280 | Published online: 30 Mar 2010

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (5)

Manizheh Rajab Pourrahmati, Nicolas Baghdadi, Ali A Darvishsefat, Manouchehr Namiranian, Valery Gond, Jean-Stéphane Bailly & Nosratollah Zargham. (2018) Mapping Lorey’s height over Hyrcanian forests of Iran using synergy of ICESat/GLAS and optical images. European Journal of Remote Sensing 51:1, pages 100-115.
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Jose A. Manzanera, Antonio García-Abril, Cristina Pascual, Rosario Tejera, Susana Martín-Fernández, Timo Tokola & Ruben Valbuena. (2016) Fusion of airborne LiDAR and multispectral sensors reveals synergic capabilities in forest structure characterization. GIScience & Remote Sensing 53:6, pages 723-738.
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Oumer S. Ahmed, Steven E. Franklin & Michael A. Wulder. (2014) Interpretation of forest disturbance using a time series of Landsat imagery and canopy structure from airborne lidar. Canadian Journal of Remote Sensing 39:6, pages 521-542.
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Rubén Valbuena, Alejandro De-Blas, Susana Martín-Fernádez, Matti Maltamo, Gert-Jan Nabuurs & José Antonio Manzanera. (2013) Within-Species Benefits of Back-projecting Airborne Laser Scanner and Multispectral Sensors in Monospecific Pinus sylvestris Forests. European Journal of Remote Sensing 46:1, pages 491-509.
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RossA. Hill & JuanC. Suárez. (2010) SilviLaser: applications of laser systems for forest assessment and inventory. International Journal of Remote Sensing 31:5, pages 1129-1132.
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Articles from other publishers (42)

Mengting Sang, Hai Xiao, Zhili Jin, Junchen He, Nan Wang & Wei Wang. (2023) Improved Mapping of Regional Forest Heights by Combining Denoise and LightGBM Method. Remote Sensing 15:23, pages 5436.
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Jian Wu, Peng Chen, Shifeng Fu, Qinghui Chen & Xiang Pan. (2023) Co-inversion of island leaf area index combination morphological and spectral parameters based on UAV multi-source remote sensing data. Ecological Informatics 77, pages 102190.
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Angela Tsao, Ikenna Nzewi, Ayodeji Jayeoba, Uzoma Ayogu & David B. Lobell. (2023) Canopy Height Mapping for Plantations in Nigeria Using GEDI, Landsat, and Sentinel-2. Remote Sensing 15:21, pages 5162.
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Abraham Aidoo Borsah, Majid Nazeer & Man Sing Wong. (2023) LIDAR-Based Forest Biomass Remote Sensing: A Review of Metrics, Methods, and Assessment Criteria for the Selection of Allometric Equations. Forests 14:10, pages 2095.
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José María Fernández-Alonso, Rafael Llorens, José Antonio Sobrino, Ana Daría Ruiz-González, Juan Gabriel Alvarez-González, José Antonio Vega & Cristina Fernández. (2022) Exploring the Potential of Lidar and Sentinel-2 Data to Model the Post-Fire Structural Characteristics of Gorse Shrublands in NW Spain. Remote Sensing 14:23, pages 6063.
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Ya Zhang, Xianwei Liu, Jing Liu & Longhui Li. (2022) High-resolution Mapping of Forest Canopy Height by Integrating Sentinel and airborne LiDAR data. High-resolution Mapping of Forest Canopy Height by Integrating Sentinel and airborne LiDAR data.
Gabriel Guariglia Perez, Vandoir Bourscheidt, Luciano Elsinor Lopes, Juliana Toshie Takata, Patrícia Alves Ferreira & Danilo Boscolo. (2022) Use of Sentinel 2 imagery to estimate vegetation height in fragments of Atlantic Forest. Ecological Informatics 69, pages 101680.
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Sven Huettermann, Simon Jones, Mariela Soto-Berelov & Samuel Hislop. (2022) Intercomparison of Real and Simulated GEDI Observations across Sclerophyll Forests. Remote Sensing 14:9, pages 2096.
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Alba Viana-Soto, Mariano García, Inmaculada Aguado & Javier Salas. (2022) Assessing post-fire forest structure recovery by combining LiDAR data and Landsat time series in Mediterranean pine forests. International Journal of Applied Earth Observation and Geoinformation 108, pages 102754.
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Wenli Huang, Wankun Min, Jiaqi Ding, Yingchun Liu, Yang Hu, Wenjian Ni & Huanfeng Shen. (2022) Forest height mapping using inventory and multi-source satellite data over Hunan Province in southern China. Forest Ecosystems 9, pages 100006.
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Hui Wang, Travis Seaborn, Zhe Wang, Christopher C. Caudill & Timothy E. Link. (2021) Modeling tree canopy height using machine learning over mixed vegetation landscapes. International Journal of Applied Earth Observation and Geoinformation 101, pages 102353.
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Wankun Min, Jiaqi Ding, Wenli Huang, Yingchun Liu & Yang Hu. (2021) Mapping of Forest Height in Northwest Hunan, China Using Multi-Source Satellite Data. Mapping of Forest Height in Northwest Hunan, China Using Multi-Source Satellite Data.
Nicholas C. Coops, Piotr Tompalski, Tristan R.H. Goodbody, Martin Queinnec, Joan E. Luther, Douglas K. Bolton, Joanne C. White, Michael A. Wulder, Oliver R. van Lier & Txomin Hermosilla. (2021) Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends. Remote Sensing of Environment 260, pages 112477.
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Matthew A. Mumma, Michael P. Gillingham, Shelley Marshall, Christopher Procter, Alexandre R. Bevington & Matthew Scheideman. (2021) Regional moose (Alces alces) responses to forestry cutblocks are driven by landscape-scale patterns of vegetation composition and regrowth. Forest Ecology and Management 481, pages 118763.
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Yan Gao, Margaret Skutsch, Diana Laura Jiménez Rodríguez & Jonathan V. Solórzano. (2020) Identifying Variables to Discriminate between Conserved and Degraded Forest and to Quantify the Differences in Biomass. Forests 11:9, pages 1020.
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Ana Novo, Noelia Fariñas-Álvarez, Joaquin Martínez-Sánchez, Higinio González-Jorge & Henrique Lorenzo. (2020) Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads. Remote Sensing 12:10, pages 1677.
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Christopher J. Moran, Van R. Kane & Carl A. Seielstad. (2020) Mapping Forest Canopy Fuels in the Western United States with LiDAR–Landsat Covariance. Remote Sensing 12:6, pages 1000.
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Syed Aamir Ali Shah, Muhammad Asif Manzoor & Abdul Bais. (2020) Canopy Height Estimation at Landsat Resolution Using Convolutional Neural Networks. Machine Learning and Knowledge Extraction 2:1, pages 23-36.
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Sean P. Kearney, Nicholas C. Coops, Gordon B. Stenhouse, Scott E. Nielsen, Txomin Hermosilla, Joanne C. White & Michael A. Wulder. (2019) Grizzly bear selection of recently harvested forests is dependent on forest recovery rate and landscape composition. Forest Ecology and Management 449, pages 117459.
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Joan E. Luther, Richard A. Fournier, Olivier R. van Lier & Mélodie Bujold. (2019) Extending ALS-Based Mapping of Forest Attributes with Medium Resolution Satellite and Environmental Data. Remote Sensing 11:9, pages 1092.
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Grant Staben, Arko Lucieer & Peter Scarth. (2018) Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery—A machine learning approach. International Journal of Applied Earth Observation and Geoinformation 73, pages 666-681.
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Giona Matasci, Txomin Hermosilla, Michael A. Wulder, Joanne C. White, Nicholas C. Coops, Geordie W. Hobart, Douglas K. Bolton, Piotr Tompalski & Christopher W. Bater. (2018) Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, pages 697-714.
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Joanne C. White, Ninni Saarinen, Ville Kankare, Michael A. Wulder, Txomin Hermosilla, Nicholas C. Coops, Paul D. Pickell, Markus Holopainen, Juha Hyyppä & Mikko Vastaranta. (2018) Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data. Remote Sensing of Environment 216, pages 262-275.
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Kamal Humagain, Carlos Portillo-Quintero, Robert D. Cox & James W. CainIIIIII. (2018) Estimating forest canopy cover dynamics in Valles Caldera National Preserve, New Mexico, using LiDAR and Landsat data. Applied Geography 99, pages 120-132.
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C. Huang. 2018. Comprehensive Remote Sensing. Comprehensive Remote Sensing 13 23 .
Mariano García, Sassan Saatchi, Angeles Casas, Alexander Koltunov, Susan Ustin, Carlos Ramirez & Heiko Balzter. (2017) Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data. Remote Sensing 9:4, pages 394.
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Mariano Garcia, Sassan Saatchi, Angeles Casas, Alexander Koltunov, Susan Ustin, Carlos Ramirez, Jorge Garcia‐Gutierrez & Heiko Balzter. (2017) Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data. Journal of Geophysical Research: Biogeosciences 122:2, pages 340-353.
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Ibrahim Fayad, Nicolas Baghdadi, Stéphane Guitet, Jean-Stéphane Bailly, Bruno Hérault, Valéry Gond, Mahmoud El Hajj & Dinh Ho Tong Minh. (2016) Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data. International Journal of Applied Earth Observation and Geoinformation 52, pages 502-514.
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Carlos Alberto Silva, Carine Klauberg, Andrew T. Hudak, Lee A. Vierling, Veraldo Liesenberg, Samuel P. C. e Carvalho & Luiz C. E. Rodriguez. (2016) A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data. Forestry 89:4, pages 422-433.
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Ibrahim Fayad, Nicolas Baghdadi, Jean-Stéphane Bailly, Nicolas Barbier, Valéry Gond, Bruno Hérault, Mahmoud El Hajj, Frédéric Fabre & José Perrin. (2016) Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana. Remote Sensing 8:3, pages 240.
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Wilson V.C. Wong, Satoshi Tsuyuki, Mui-How Phua, Keiko Ioki & Gen Takao. (2016) Performance of a photogrammetric digital elevation model in a tropical montane forest environment. Journal of Forest Planning 21:2, pages 39-52.
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Aihua Li, Nancy F. Glenn, Peter J. Olsoy, Jessica J. Mitchell & Rupesh Shrestha. (2015) Aboveground biomass estimates of sagebrush using terrestrial and airborne LiDAR data in a dryland ecosystem. Agricultural and Forest Meteorology 213, pages 138-147.
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Phil Wilkes, Simon Jones, Lola Suarez, Andrew Mellor, William Woodgate, Mariela Soto-Berelov, Andrew Haywood & Andrew Skidmore. (2015) Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data. Remote Sensing 7:9, pages 12563-12587.
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Cong Xu, Justin Morgenroth & Bruce Manley. (2015) Integrating Data from Discrete Return Airborne LiDAR and Optical Sensors to Enhance the Accuracy of Forest Description: A Review. Current Forestry Reports 1:3, pages 206-219.
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Shezhou Luo, Cheng Wang, Feifei Pan, Xiaohuan Xi, Guicai Li, Sheng Nie & Shaobo Xia. (2015) Estimation of wetland vegetation height and leaf area index using airborne laser scanning data. Ecological Indicators 48, pages 550-559.
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Oumer S. Ahmed, Steven E. Franklin & Michael A. Wulder. (2014) Integration of Lidar and Landsat Data to Estimate Forest Canopy Cover in Coastal British Columbia. Photogrammetric Engineering & Remote Sensing 80:10, pages 953-961.
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Haifa Debouk, Ramon Riera-Tatché & Cristina Vega-García. (2013) Assessing Post-Fire Regeneration in a Mediterranean Mixed Forest Using Lidar Data and Artificial Neural Networks. Photogrammetric Engineering & Remote Sensing 79:12, pages 1121-1130.
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Bijan Seyednasrollah & Mukesh Kumar. (2013) Effects of tree morphometry on net snow cover radiation on forest floor for varying vegetation densities. Journal of Geophysical Research: Atmospheres 118:22.
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L.S. Smart, J.J. Swenson, N.L. Christensen & J.O. Sexton. (2012) Three-dimensional characterization of pine forest type and red-cockaded woodpecker habitat by small-footprint, discrete-return lidar. Forest Ecology and Management 281, pages 100-110.
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John F. Weishampel, Jessica N. Hightower, Arlen F. Chase & Diane Z. Chase. (2012) Use of Airborne LiDAR to Delineate Canopy Degradation and Encroachment along the Guatemala-Belize Border. Tropical Conservation Science 5:1, pages 12-24.
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Fabio Maselli, Marta Chiesi, Alessandro Montaghi & Enzo Pranzini. (2011) Use of ETM+ images to extend stem volume estimates obtained from LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing 66:5, pages 662-671.
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Ainong Li, Chengquan Huang, Guoqing Sun, Hua Shi, Chris Toney, Zhiliang Zhu, Matthew G. Rollins, Samuel N. Goward & Jeffrey G. Masek. (2011) Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data. Remote Sensing of Environment 115:8, pages 1837-1849.
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