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International Journal of Remote Sensing Volume 35, 2014 - Issue 13
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Original Articles

Estimating plot volume using lidar height and intensity distributional parameters

Doo-Ahn KwakDivision of Environmental Science and Ecological Engineering, Korea University, Seoul136-713, Republic of Korea
,
Guishan CuiDivision of Environmental Science and Ecological Engineering, Korea University, Seoul136-713, Republic of Korea
,
Woo-Kyun LeeDivision of Environmental Science and Ecological Engineering, Korea University, Seoul136-713, Republic of KoreaCorrespondence[email protected]
,
Hyun-Kook ChoDivision of Forest Information, Korea Forestry Promotion Institute, Seoul121-914, Republic of Korea
,
Seong Woo JeonDivision of Natural Resources Conservation, Korea Environment Institute, Seoul122-706, Republic of Korea
&
Seung-Ho LeeDivision of Forest Resources Information, Korea Forest Research Institute, Seoul136-012, Republic of Korea
Pages 4601-4629 | Received 20 Aug 2010, Accepted 17 Mar 2014, Published online: 20 Jun 2014

Citations (12)

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Haiyan Guan, Yongtao Yu, Zheng Ji, Jonathan Li & Qi Zhang. (2015) Deep learning-based tree classification using mobile LiDAR data. Remote Sensing Letters 6:11, pages 864-873.
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Articles from other publishers (11)

José Manuel Fernández-Guisuraga, Susana Suárez-Seoane, Paula García-Llamas & Leonor Calvo. (2021) Vegetation structure parameters determine high burn severity likelihood in different ecosystem types: A case study in a burned Mediterranean landscape. Journal of Environmental Management 288, pages 112462.
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Van-Tho Nguyen, Thiéry Constant & Francis Colin. (2021) An innovative and automated method for characterizing wood defects on trunk surfaces using high-density 3D terrestrial LiDAR data. Annals of Forest Science 78:2.
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Taejin Park. (2020) Potential Lidar Height, Intensity, and Ratio Parameters for Plot Dominant Species Discrimination and Volume Estimation. Remote Sensing 12:19, pages 3266.
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Kennedy Kanja, Uzay Karahalil & Bayram Çil. (2019) Modeling stand parameters for Pinus brutia (Ten.) using airborne LiDAR data: a case study in Bergama. Journal of Applied Remote Sensing 14:02, pages 1.
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Paula García-Llamas, Susana Suárez-Seoane, Angela Taboada, Alfonso Fernández-Manso, Carmen Quintano, Víctor Fernández-García, José Manuel Fernández-Guisuraga, Elena Marcos & Leonor Calvo. (2019) Environmental drivers of fire severity in extreme fire events that affect Mediterranean pine forest ecosystems. Forest Ecology and Management 433, pages 24-32.
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Andreas Zischg, Niccolo Galatioto, Silvana Deplazes, Rolf Weingartner & Bruno Mazzorana. (2018) Modelling Spatiotemporal Dynamics of Large Wood Recruitment, Transport, and Deposition at the River Reach Scale during Extreme Floods. Water 10:9, pages 1134.
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Shezhou Luo, Jing M. Chen, Cheng Wang, Alemu Gonsamo, Xiaohuan Xi, Yi Lin, Mingjie Qian, Dailiang Peng, Sheng Nie & Haiming Qin. (2018) Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11:1, pages 300-310.
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Eunji Kim, Woo-Kyun Lee, Mihae Yoon, Jong-Yeol Lee, Yowhan Son & Kamariah Abu Salim. (2016) Estimation of Voxel-Based Above-Ground Biomass Using Airborne LiDAR Data in an Intact Tropical Rain Forest, Brunei. Forests 7:12, pages 259.
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Solomon G. Tesfamichael & Craig Beech. (2016) Combining Akaike's Information Criterion and discrete return LiDAR data to estimate structural attributes of savanna woody vegetation. Journal of Arid Environments 129, pages 25-34.
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Shezhou Luo, Cheng Wang, Xiaohuan Xi, Hongcheng Zeng, Dong Li, Shaobo Xia & Pinghua Wang. (2015) Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification. Remote Sensing 8:1, pages 3.
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Mihae Yoon, Eunji Kim, Doo-Ahn Kwak, Woo-Kyun Lee, Jong-Yeol Lee, Moon-Il Kim, Sohye Lee, Yowhan Son & Kamariah Abu Salim. (2015) Estimation of Stand-level Above Ground Biomass in Intact Tropical Rain Forests of Brunei using Airborne LiDAR data. Korean Journal of Remote Sensing 31:2, pages 127-136.
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