基于地基激光雷达的采矿废弃地生态修复的植被参数提取

doi:10.11934/j.issn.1673-4831.2018.08.003

Abstract

Abstract:

Vegetation recovery is a key stage of mine ecological restoration, while the horizontal vegetation coverage and vertical structure parameters are important indicators for the evaluation of vegetation recovery effectiveness. The three parameters of vegetation structure(leaf area index, gap rate and crown density) were extracted through taking Zhangzhou abandoned mine area as a case study, based on the point cloud data produced by Terrestrial LiDAR (T-LiDAR). The impacts of Digital Elevation Model(DEM) resolution and three dimensional point cloud pixel size on the extraction of vegetation structure parameters in different stages of ecological restoration were then analyzed and discussed. The results show that:(1) with the increase of the resolution of DEM (precision reduction), the leaf area index(LAI) and crown density on both well revegetated and semi-bare abandoned mine area decreased, while gap rate increased, the suitable resolution of DEM was 10 and 20 cm, respectively, three parameters of vegetation structure on bare abandoned mine area were all not changed with the increased of DEM resolution, the suitable resolution of DEM was 50 cm. (2) With the increase of three dimensional point cloud pixel size, the LAI and crown density on different stages of ecological restoration on abandoned mine area all increased, while the gap rate decreased. Three parameters of vegetation structure on well revegetated abandoned mine area exhibited similar changing curves with semi-bare abandoned mine area, while both of them were higher than that of bare abandoned area.

Key words: terrestrial LiDAR, abandoned mine area, vegetation structural parameters, point clouds, ecological restoration

CLC Number:

X83
X501

TIAN Jia-rong, DAI Ting-ting, XU Yan-nan, WU Yan-hui, LI Hai-dong. Extraction of Vegetation Parameters in Different Stages of Ecological Restoration on Abandoned Mine Area Based on T-LiDAR[J]. Journal of Ecology and Rural Environment, 2018, 34(8): 686-691.

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Extraction of Vegetation Parameters in Different Stages of Ecological Restoration on Abandoned Mine Area Based on T-LiDAR

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