Remote Sensing Technology and Application, Volume. 40, Issue 3, 600(2025)

Combining Airborne LiDAR and Multi-Source Remote Sensing Images for Forest Canopy Density Estimation

Junjie LUO1,4,5, Xiaoyang REN1,4,5, Rundong LIU3, and Ningning ZHU2、*
Author Affiliations
  • 1School of Mapping and Geoinformation, Lanzhou Jiaotong University, Lanzhou730070,China
  • 2State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan430079, China
  • 3Guangxi Zhuang Autonomous Region Remote Sensing Institute of Natural Resources, Nanning530023,China
  • 4National-Local Joint Engineering Research Center of Technologies and Applications,Lanzhou730070,China
  • 5Gansu Provincial Engineering Laboratory for National Geographic Conditions Monitoring, Lanzhou730070, China
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    References(21)

    [1] PANG Yong, LI Zengyuan, CHEN Erxue et al. LiDAR remote sensing technology and its application in forestry. Scientia Silvae Sinicae, 41, 129-136(2005).

    [2] ZHU Ningning, YANG Bisheng, DONG Zhen. The explicit model of forest carbon storage based on remote sensing. Acta Geodaetica et Cartographica Sinica, 53, 36-49(2024).

    [3] LI Yongning, ZHANG Binlan, QIN Shuying et al. Review of research and application of forest canopy closure and its measuring methods. World Forestry Research, 21, 40-46(2008).

    [4] LI Chonggui, SHI Qiang, ZHAO Xianwen et al. On forest canopy density estimation research based on RS and GIS with ridge estimation. Scientia Silvae Sinicae, 37, 24-30(2001).

    [5] PANG Yong, LI Zengyuan. Inversion of biomass components of the temperate forest using airborne LiDAR technology in Xiaoxing’an Mountains,Northeastern of China. Chinese Journal of Plant Ecology, 36, 1095-1105(2012).

    [6] ZHANG Ruiying, PANG Yong, LI Zengyuan et al. Canopy closure estimation in a temperate forest using airborne LiDAR and Landsat ETM+ data. Chinese Journal of Plant Ecology, 40, 102-115(2016).

    [7] XIE Kaiyi, CHEN Ruibo, WANG Zhili et al. The inversion and application of forest height of multi-source remote sensing data in Guangxi-ASEAN region. Bulletin of Surveying and Mapping, 32-37(2024).

    [8] GAO Yunfei, LI Zhiguang, YANG Shengtian et al. Study on canopy density retrieval method from SPOT5. Research of Soil and Water Conservation, 19, 267-270(2012).

    [9] ZHANG Jin, LI Xiaosong, WU Bingfang. Forest cover estimation based on classification and regression trees of Miyun Reservoir upstream area. Remote Sensing Technology and Application, 29, 394-400(2014).

    [10] HANSEN M C, DEFRIES R S, TOWNSHEND J R G et al. Global percent tree cover at a spatial resolution of 500 meters: First results of the MODIS vegetation continuous fields algorithm. Earth Interactions, 7, 1-15(2003).

    [11] STOJANOVA D, PANOV P, GJORGJIOSKI V et al. Estimating vegetation height and canopy cover from remotely sensed data with machine learning. Ecological Informatics, 5, 256-266(2010).

    [12] ZHOU J J, DIAN Y Y, WANG X et al. Comparison of GF2 and SPOT6 imagery on canopy cover estimating in northern subtropics forest in China. Forests, 11, 407(2020).

    [13] NELSON R, KRABILL W, MACLEAN G. Determining forest canopy characteristics using airborne laser data. Remote Sensing of Environment, 15, 201-212(1984).

    [14] NELSON R, KRABILL W, TONELLI J. Estimating forest biomass and volume using airborne laser data. Remote Sensing of Environment, 24, 247-267(1988).

    [15] LIU Qing, ZHU Ningning, YU Wandong et al. A method for automatic registration of unmanned aerial vehicle and terrestrial laser scanning point clouds in forest areas. Geospatial Information, 20, 96-101(2022).

    [16] HOLMGREN J, JOHANSSON F, OLOFSSON K et al. Estimation of crown coverage using airborne laser scanning(2008).

    [17] PANG Yong, HUANG Kebiao, LI Zengyuan et al. Forest aboveground biomass analysis using remote sensing in the greater Mekong subregion. Resources Science, 33, 1863-1869(2011).

    [18] ZHAO Xun, YUE Cairong, LI Chungan et al. Estimation of forest canopy density based on airborne LiDAR point cloud data. Remote Sensing Technology and Application, 35, 1136-1145(2020).

    [19] DAI W X, GUAN Q F, CAI S S et al. A comparison of the performances of Unmanned-Aerial-Vehicle(UAV) and terrestrial laser scanning for forest plot canopy cover estimation in pinus massoniana forests. Remote Sensing, 14, 1188(2022).

    [20] SEXTON J O, SONG X P, FENG M et al. Global,30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with liDAR-based estimates of error. International Journal of Digital Earth, 6, 427-448(2013).

    [21] DUAN Zhugeng, ZENG Yuan, ZHAO Dan et al. Method of removing pits of canopy height model from airborne laser radar. Transactions of the Chinese Society of Agricultural Engineering, 30, 209-217(2014).

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    Junjie LUO, Xiaoyang REN, Rundong LIU, Ningning ZHU. Combining Airborne LiDAR and Multi-Source Remote Sensing Images for Forest Canopy Density Estimation[J]. Remote Sensing Technology and Application, 2025, 40(3): 600

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    Paper Information

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    Received: May. 10, 2023

    Accepted: --

    Published Online: Sep. 28, 2025

    The Author Email: Ningning ZHU (ningningzhu@whu.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2025.3.0600

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