Estimation of coniferous standing tree volume using airborne LiDAR and passive optical remote sensing
Estimation of coniferous standing tree volume using airborne LiDAR and passive optical remote sensing
复制标题
利用机载激光雷达和被动光学遥感估算针叶树体积
DOI：
10.2480/agrmet.66.2.4
复制
发表时间：
2010
影响因子：
1.3
通讯作者：
K. Omasa
中科院分区：
文献类型：
--
作者：
Y. Nakai;F. Hosoi;K. Omasa
在这项研究中，我们证实了机载激光雷达和被动光学遥感技术可用于估算两棵针叶树（分别为 28 棵日本红松树和 13 棵日本雪松树）的立木体积。机载 3-D LiDAR 数据和航空照片提供了每棵选定树木各自的高度和树冠面积。随后，我们研究了 1) LiDAR 得出的树高和基于实地的茎体积和 2) 从航空照片获得的树冠面积和基于实地的茎体积之间的关系。此外，我们建立了由树高和树冠面积组成的乘法方程来预测茎体积，并通过将预测的立木体积与基于现场的体积进行比较来检验其准确性。因此，在两个物种中，激光雷达得出的树高和茎体积之间的相关性较强，而从航空照片获得的树冠面积和两个物种的茎体积之间的相关性较弱。在乘法方程中，日本红松的茎体积 R 2 和 SE 分别为 0.90 和 0.046 m 3 ，日本柳杉的茎体积 R 2 和 SE 分别为 0.83 和 0.025 m 3 ，这比单独使用树高或冠面积更好，特别是对于日本柳杉。这表明了激光雷达和无源光学传感器相结合在估算立树体积方面的有效性。
In this study, we confirmed the utility of airborne LiDAR and passive optical remote sensing techniques for estimating the standing tree volume of two coniferous trees, 28 Japanese red pine and 13 Japanese cedar trees respectively. Airborne 3-D LiDAR data and aerial photographs provided the respective height and crown area for each of the selected trees. Subsequently, we examined the relationships between 1) LiDAR-derived tree height and Field-based stem volume and 2) the crown area obtained from aerial photograph and the field-based stem volume. In addition, we made a multiplicative equation composed of both tree height and crown area to predict the stem volume, and examined its accuracy by comparing the predicted standing tree volume with the field-based volume. Consequently, stronger correlations were observed between the LiDAR-derived tree height and stem volume in both species, while those between the crown area obtained from aerial photographs and the stem volume were weaker in both species. At the multiplicative equation, R 2 and SE of the stem volume were 0.90 and 0.046 m 3 for the Japanese red pine, and 0.83 and 0.025 m 3 for the Japanese cedar respectively, which represented a better result than using tree height or crown area alone, especially for the Japanese cedar. This shows the effectiveness of the combination of LiDAR and passive optical sensors in estimating the standing tree volume.
影响因子：
11.4
作者：
Omasa, K;Qiu, GY;Akiyama, Y
通讯作者：
Akiyama, Y