Estimating individual tree heights of sugi (Cryptomeria japonica D. Don) plantations in mountainous areas using small-footprint airborne LiDAR
Estimating individual tree heights of sugi (Cryptomeria japonica D. Don) plantations in mountainous areas using small-footprint airborne LiDAR
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DOI：
10.1007/s10310-004-0125-8
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发表时间：
2005-04
影响因子：
1.5
通讯作者：
Tomoaki Takahashi;Kazukiyo Yamamoto;Y. Senda;Masashi Tsuzuku
中科院分区：
文献类型：
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作者：
Tomoaki Takahashi;Kazukiyo Yamamoto;Y. Senda;Masashi Tsuzuku
最近，它表明，个别树高可以准确地估计使用小足迹机载光探测和测距（激光雷达）遥感。由于以前研究的大部分地区仅限于平坦的地形，我们研究了在山区森林中不同类型的地形特征的LiDAR衍生的个体树高估计的准确性与陡峭和更复杂的地形。以柳杉（Cryptomeria japonicaD.）Don）的人工林分布在日本的山区，因此我们选择了48年生的杉人工林来研究这些估计的准确性。将调查区域分为三种地形特征：陡坡（平均坡度± SD; 37.6° ± 5.8°）、缓坡（15.6° ± 3.7°）和平缓但崎岖的地形（16.8° ± 7.8°）。在估计树高之前，研究了每个地形特征内检测到的树木数量。在这些地形中，正确检测到的树木百分比分别为74%、86%和92%;激光雷达导出的树高与实地测量的树高之间的平均误差分别为0.227米、-0.473米和-0.183米;由LiDAR得到的树高估计的精度（均方根误差）分别为0.901m、0.846m和0.576m。因此，即使在平均坡度约为38°的森林中，本研究中提出的程序也可以检测大多数树冠树木并以优于1 m的精度估计个体树木高度;因此，表明小足迹机载LiDAR将是准确估计山区杉人工林个体树冠树木高度的有用工具。
Recently, it was shown that individual tree heights could be accurately estimated using small-footprint airborne light detection and ranging (LiDAR) remote sensing. Because most of the areas studied previously were limited to flat terrain, we investigated the accuracy of LiDAR-derived individual tree height estimates for different types of topographical features in mountainous forests with a steeper and more complex topography. Several middle-aged (40–50 years old) sugi (Cryptomeria japonicaD. Don) plantations are found in the mountainous regions in Japan; hence, we chose 48-year-old sugi plantations to investigate the accuracy of these estimates. The surveyed area was divided into three types of topographical features; steep slope (mean slope ± SD; 37.6° ± 5.8°), gentle slope (15.6° ± 3.7°), and gentle yet rough terrain (16.8° ± 7.8°). Before estimating tree heights, the number of detected trees within each topographical feature was researched. In each of these terrains, the percentage of trees detected correctly was 74%, 86%, and 92%; the average error between LiDAR-derived and field-measured tree heights was 0.227m, −0.473m, and −0.183m; and the accuracy of the LiDAR-derived tree height estimates, given as root mean square error (RMSE), was 0.901m, 0.846m, and 0.576m, respectively. Consequently, the procedure presented in this study could detect most canopy trees and estimate individual tree heights with an accuracy better than 1m, even in a forest with a mean slope angle of approximately 38°; thus, indicating that small-footprint airborne LiDAR will be a useful tool for accurately estimating the heights of individual canopy trees in sugi plantations in mountainous areas.