New approach to calculating tree height at the regional scale
New approach to calculating tree height at the regional scale
复制标题
计算区域尺度树高的新方法
DOI：
10.1186/s40663-021-00300-4
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发表时间：
2021-04
影响因子：
4.1
通讯作者：
Jindi Wang
中科院分区：
文献类型：
--
作者：
Congrong Li;Jinling Song;Jindi Wang
抽象。背景在森林资源管理研究中，确定区域尺度上树高的空间分布对于进行森林地上生物量估算具有重要意义。几何-光学互影模型（GOMS）可以在区域尺度上反演森林冠层结构参数。然而，该方法只能获得水平冠层直径（CD）、树高、净高和垂直CD之间的比值。在本文中，我们使用了半方差模型来计算CD使用高空间分辨率图像，并将此方法扩展到区域尺度。然后，我们将CD结果与GOMS模型的森林冠层结构参数反演结果相结合，计算区域尺度上的树高。结果半方差模型可用于计算区域尺度上的CD，该区域尺度与从冠层高度模型（CHM）数据得出的CD非常匹配（主要在-1至1 m的范围内）。由GOMS模型计算的树高与CHM数据得出的树高之间的差异很小，对于500米的高植被覆盖率（FVC）区域（即，森林面积覆盖指数值大于0.8）。CHM数据反演树高的不准确性和不同数据集空间分辨率的不匹配都会影响树高反演的准确性。在茂密的森林中，由于空间分辨率不匹配而引起的误差较小。结论.利用半方差模型计算区域尺度的冠层结构参数，结合GOMS模型反演的冠层结构参数，可以得到区域尺度的平均树高。该研究为计算树高提供了一种新的方法，为GOMS模型的应用提供了进一步的指导。
Abstract. Background. Determining the spatial distribution of tree heights at the regional area scale is significant when performing forest above-ground biomass estimates in forest resource management research. The geometric-optical mutual shadowing (GOMS) model can be used to invert the forest canopy structural parameters at the regional scale. However, this method can obtain only the ratios among the horizontal canopy diameter (CD), tree height, clear height, and vertical CD. In this paper, we used a semi-variance model to calculate the CD using high spatial resolution images and expanded this method to the regional scale. We then combined the CD results with the forest canopy structural parameter inversion results from the GOMS model to calculate tree heights at the regional scale.. Results. The semi-variance model can be used to calculate the CD at the regional scale that closely matches (mainly with in a range from − 1 to 1 m) the CD derived from the canopy height model (CHM) data. The difference between tree heights calculated by the GOMS model and the tree heights derived from the CHM data was small, with a root mean square error (RMSE) of 1.96 for a 500-m area with high fractional vegetation cover (FVC) (i.e., forest area coverage index values greater than 0.8). Both the inaccuracy of the tree height derived from the CHM data and the unmatched spatial resolution of different datasets will influence the accuracy of the inverted tree height. And the error caused by the unmatched spatial resolution is small in dense forest.. Conclusions. The semi-variance model can be used to calculate the CD at the regional scale, together with the canopy structure parameters inverted by the GOMS model, the mean tree height at the regional scale can be obtained. Our study provides a new approach for calculating tree height and provides further directions for the application of the GOMS model.
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影响因子：
2.2
作者：
Gordon D. Nigh;V. Sit
通讯作者：
Gordon D. Nigh;V. Sit
影响因子：
13.5
作者：
C. Song;M. Dickinson;L. Su;Su Zhang;Daniel Yaussey
通讯作者：
C. Song;M. Dickinson;L. Su;Su Zhang;Daniel Yaussey
影响因子：
8.2
作者：
D. Jupp;A. Strahler;C. Woodcock
通讯作者：
D. Jupp;A. Strahler;C. Woodcock
影响因子：
8.3
作者：
S. Popescu;R. Wynne;R. Nelson
通讯作者：
S. Popescu;R. Wynne;R. Nelson
影响因子：
1.7
作者：
Zhuo Fu;Jindi Wang;Jinling Song;Hong-min Zhou;Y. Pang;Bai S. Chen
通讯作者：
Zhuo Fu;Jindi Wang;Jinling Song;Hong-min Zhou;Y. Pang;Bai S. Chen