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International Journal of Remote Sensing Volume 33, 2012 - Issue 3: Prior Knowledge-Based Retrieval and Validation of Information from Remote-Sensing Data at Various Scales
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Original Articles

Retrieval of forest canopy attributes based on a geometric-optical model using airborne LiDAR and optical remote-sensing data

Chunxiang Cao State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, PR ChinaCorrespondence[email protected]
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Yunfei Bao State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, PR China; Beijing Institute of Space Mechanics and Electricity, Beijing, 100076, PR China
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Min Xu State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, PR China; Graduate School of the Chinese Academy of Sciences, Beijing, 100049, PR China
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Wei Chen State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, PR China; Graduate School of the Chinese Academy of Sciences, Beijing, 100049, PR China
,
Hao Zhang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, PR China
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Qisheng He State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, PR China; Graduate School of the Chinese Academy of Sciences, Beijing, 100049, PR China
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Zengyuan Li Research Institute of Forest Resources and Information Techniques, Chinese Academy of Forestry, Beijing, 10009, PR China
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Huadong Guo Centre for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, 100190, PR China
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Jiahong Li National Remote-sensing Centre of China, Beijing, 100862, PR China
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Xiaowen Li State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, PR China
&
Guanghe Li Department of Industry Design, College of Architecture and Urban Planning, Beijing University of Technology, Beijing, 100124, PR China
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Pages 692-709 | Published online: 18 Nov 2011

Citations (19)

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Shangshu Cai, Wuming Zhang, Shuangna Jin, Jie Shao, Linyuan Li, Sisi Yu & Guangjian Yan. (2021) Improving the estimation of canopy cover from UAV-LiDAR data using a pit-free CHM-based method. International Journal of Digital Earth 14:10, pages 1477-1492.
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X. Y. Wang, W. H. Qin, G.Q. Sun & J. Zhu. (2019) Estimation of forest LAI by inverting canopy reflectance models and multi-angle imagery. Geocarto International 34:9, pages 959-976.
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Yong Xue, Xiaowen Li, Zengyuan Li & Cunxiang Cao. (2012) Prior knowledge-based retrieval and validation of information from remote-sensing data at various scales. International Journal of Remote Sensing 33:3, pages 665-673.
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Articles from other publishers (16)

Hongru Bi, Wei Chen & Yi Yang. (2023) Extracting illuminated vegetation, shadowed vegetation and background for finer fractional vegetation cover with polarization information and a convolutional network. Precision Agriculture 25:2, pages 1106-1125.
Crossref
Ao Sui, Opelele Omeno Michel, Yu Mao & Wenyi Fan. (2022) An Improved Forest Height Model Using L-Band Single-Baseline Polarimetric InSAR Data for Various Forest Densities. Remote Sensing 15:1, pages 81.
Crossref
Yihan Pu, Dandan Xu, Haobin Wang, Deshuai An & Xia Xu. (2021) Extracting Canopy Closure by the CHM-Based and SHP-Based Methods with a Hemispherical FOV from UAV-LiDAR Data in a Poplar Plantation. Remote Sensing 13:19, pages 3837.
Crossref
Wei Chen, Qihui Zheng, Haibing Xiang, Xu Chen & Tetsuro Sakai. (2021) Forest Canopy Height Estimation Using Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) Technology Based on Full-Polarized ALOS/PALSAR Data. Remote Sensing 13:2, pages 174.
Crossref
Chen, Xiang & Moriya. (2020) Individual Tree Position Extraction and Structural Parameter Retrieval Based on Airborne LiDAR Data: Performance Evaluation and Comparison of Four Algorithms. Remote Sensing 12:3, pages 571.
Crossref
Xi Zhu, Andrew K. Skidmore, Roshanak Darvishzadeh & Tiejun Wang. (2019) Estimation of forest leaf water content through inversion of a radiative transfer model from LiDAR and hyperspectral data. International Journal of Applied Earth Observation and Geoinformation 74, pages 120-129.
Crossref
Qin Ma, Yanjun Su & Qinghua Guo. (2017) Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:9, pages 4225-4236.
Crossref
Wang Li, Zheng Niu, Zengyuan Li, Cheng Wang, Mingquan Wu & Shakir Muhammad. (2016) Upscaling coniferous forest above-ground biomass based on airborne LiDAR and satellite ALOS PALSAR data. Journal of Applied Remote Sensing 10:4, pages 046003.
Crossref
Yunfei Bao. (2016) Estimation of clumping index and LAI from Terrestrial LiDAR data. Estimation of clumping index and LAI from Terrestrial LiDAR data.
Wang Li, Zheng Niu, Xinlian Liang, Zengyuan Li, Ni Huang, Shuai Gao, Cheng Wang & Shakir Muhammad. (2015) Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling. International Journal of Applied Earth Observation and Geoinformation 41, pages 88-98.
Crossref
Hossein Torabzadeh, Felix Morsdorf & Michael E. Schaepman. (2014) Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems – A review. ISPRS Journal of Photogrammetry and Remote Sensing 97, pages 25-35.
Crossref
Wang Li, Zheng Niu, Shuai Gao, Ni Huang & Hanyue Chen. (2014) Correlating the Horizontal and Vertical Distribution of LiDAR Point Clouds with Components of Biomass in a Picea crassifolia Forest. Forests 5:8, pages 1910-1930.
Crossref
Yunfei Bao. (2014) A novel method to estimate effective PAI from Terrestrial LiDAR data. A novel method to estimate effective PAI from Terrestrial LiDAR data.
Qisheng He, Erxue Chen, Ru An & Yong Li. (2013) Above-Ground Biomass and Biomass Components Estimation Using LiDAR Data in a Coniferous Forest. Forests 4:4, pages 984-1002.
Crossref
Wei Chen, Tetsuro Sakai, Kazuyuki Moriya, Lina Koyama & Chunxiang Cao. (2013) Estimation of Vegetation Coverage in Semi-arid Sandy Land Based on Multivariate Statistical Modeling Using Remote Sensing Data. Environmental Modeling & Assessment 18:5, pages 547-558.
Crossref
Xiliang Ni, Yuli Shi, Sungho Choi, Chunxiang Cao & Ranga B. Myneni. (2012) Estimation of tree heights using remote sensing data and an Allometric Scaling and Resource Limitations (ASRL) model. Estimation of tree heights using remote sensing data and an Allometric Scaling and Resource Limitations (ASRL) model.

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