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Citation:

The Effects of Airborne LiDAR Po in t Den sity on Forest Height Estimation

  • Received Date: 2007-12-09
  • This paper takes Culaishan Forest Farm, Shandong Province, and Tieshanp ing Forest Farm, Chongqing,as test sites. The airborne discrete return LiDAR data were collected in May of 2005 and Sep tember of 2006seperately. The forest heightwas estimated for both test sites. Through the camparison of the two sites, the effects ofairborne L iDAR point density on forest height estimation were analyzed. The results demonstrated that itwas feasibleto use low and high point density airborne L iDAR data to estimate forest height. Quartiles could give good treeheight estimation in the low L iDAR point density case. The accuracies from high density L iDAR data showeds onlya little better than low density data. The high density data could be used to estimate finer scale forest height evenindividual tree height, which is helpful to minimize necessity of the number filed p lots.
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  • [1] 庞 勇,赵 峰,李增元,等. 机载激光雷达平均树高提取研究[J]. 遥感学报, 2008, 12 (1) : 152 - 158

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    Drake J B, Dubayah R O, Clark D B, et al. Estimation of trop icalforest structural characteristics using large-footp rint LiDAR [J].Remote Sensing of Environment, 2002, 79 (2 - 3) : 305 - 319
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    Holmgren J, Nilsson M, lsson H. Simulating the effects of L IDARscanning angle for estimation ofmean tree height and canopy closure[J]. Canadian Journal of Remote Sensing, 2003, 29 (5) : 623 - 632
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    Lim K, Paul T, IanM, et al. Estimating aboveground biomass usingLiDAR remote sensing [C]. Remote Sensing for Agriculture,Ecosystems, and Hydrology IV Conference, 2002, Sep tember 23 -27, Agia Pelagia, Crete, Greece.
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    N? sset E. Practical large-scale forest stand inventory using smallfootp rint airborne scanning laser[J]. Scandinavian Journal of ForestResearch, 2004, 19 (2) : 164 - 179
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    Schutz B E, Zwally H J, Shuman C A, et al. Overview of theICESat Mission [J]. Geophysical Research Letters, 2005,32: L21S01
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    Lefsky M A, Cohen W B, Sp ies T A. An evaluation of alternateremote sensing p roducts for forest inventory, monitoring, andmapp ing of Douglas-fir forests in western Oregon [J]. CanadianJournal of Forest Research, 2001, 31 (1) : 78 - 87
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    Barbara K, Ursula H, Holger W. Detection of Individual TreeCrowns in Airborne LiDAR Data [J]. Photogrammetric Engineeringand Remote Sensing, 2006, 72 (4) : 357 - 364
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    Axelsson P. Ground estimation of laser data using adap tive TIN-models [C]. Proceedings of OEEPE workshop on airbornelaserscanning and interferometric SAR for detailed digital elevationmodels, 2001: 185 - 208
    [10] 刘清旺,李增元,陈尔学,等. 利用机载激光雷达数据提取单株木树高和树冠. [J]北京林业大学学报,待发表

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    沈阳化工大学材料科学与工程学院 沈阳 110142

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The Effects of Airborne LiDAR Po in t Den sity on Forest Height Estimation

  • 1. Research Institute of Forest Resource Information Techniques, CAF, Beijing 100091, China

Abstract: This paper takes Culaishan Forest Farm, Shandong Province, and Tieshanp ing Forest Farm, Chongqing,as test sites. The airborne discrete return LiDAR data were collected in May of 2005 and Sep tember of 2006seperately. The forest heightwas estimated for both test sites. Through the camparison of the two sites, the effects ofairborne L iDAR point density on forest height estimation were analyzed. The results demonstrated that itwas feasibleto use low and high point density airborne L iDAR data to estimate forest height. Quartiles could give good treeheight estimation in the low L iDAR point density case. The accuracies from high density L iDAR data showeds onlya little better than low density data. The high density data could be used to estimate finer scale forest height evenindividual tree height, which is helpful to minimize necessity of the number filed p lots.

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