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

生态与农村环境学报 ›› 2018, Vol. 34 ›› Issue (8): 686-691.doi: 10.11934/j.issn.1673-4831.2018.08.003

• 矿山生态保护与修复专题 • 上一篇下一篇

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

田佳榕^1,2, 代婷婷¹, 徐雁南¹, 吴燕辉³, 李海东²

1. 南京林业大学南方现代林业协同创新中心, 江苏南京 210037;
2. 环境保护部南京环境科学研究所, 江苏南京 210042;
3. 湖北置帮房地资产评估咨询有限公司, 湖北武汉 430070

收稿日期:2018-04-24 出版日期:2018-08-25 发布日期:2018-08-23
通讯作者: 徐雁南,E-mail:nfuxyn@126.com;李海东,E-mail:lihd2020@163.com E-mail:nfuxyn@126.com;lihd2020@163.com
作者简介:田佳榕(1994-),男,江苏南通人,硕士生,研究方向为生态环境遥感。E-mail:tianjiarong.228@qq.com
基金资助:
中央级公益性科研院所基本科研业务专项（GYZX170201）；国家科技基础性工作专项重点项目（2014FY110800）；江苏省林业三新工程（LYSX[2015]19）

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

TIAN Jia-rong^1,2, DAI Ting-ting¹, XU Yan-nan¹, WU Yan-hui³, LI Hai-dong²

1. Centre of Co-Innovation for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China;
2. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China;
3. Hubei Zhibang Appraisal & Consulting Co. Ltd., Wuhan 430070, China

Received:2018-04-24 Online:2018-08-25 Published:2018-08-23

摘要/Abstract

摘要：

植被恢复是矿山生态修复的重要阶段，而水平方向的植被覆盖和垂直方向的结构参数是评估植被恢复成效的重要指标。利用地基激光雷达（T-LiDAR）点云数据在植被垂直结构参数提取方面的优势，选取叶面积指数、间隙率和郁闭度3种植被参数，以漳州采矿废弃地为例，分析与探讨了数字高程模型（DEM）分辨率和三维点云像元对于不同生态修复阶段的植被结构参数提取的影响。结果表明：随着DEM分辨率的增大（精度降低），植被覆盖较好、半裸露的采矿废弃地提取的叶面积指数下降，间隙率提高，郁闭度下降，DEM的适宜分辨率分别为10和20 cm；裸露采矿废弃地的3种植被结构参数则没有发生变化，DEM的适宜分辨率为50 cm。随着三维点云像元的增大，不同生态修复阶段的采矿废弃地的叶面积指数和郁闭度均增大，间隙率均减小。植被覆盖较好、半裸露的采矿废弃地3种植被参数变化曲线基本一致，且明显高于裸露采矿废弃地。

关键词: 地基激光雷达, 采矿废弃地, 植被结构参数, 点云数据, 生态修复

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

中图分类号:

X83
X501

田佳榕, 代婷婷, 徐雁南, 吴燕辉, 李海东. 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[J]. 生态与农村环境学报, 2018, 34(8): 686-691.

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.

参考文献

[1] 李海东,雷伟香,欧阳琰,等.矸石山环境污染治理的对策建议[J].环境保护,2018,46(11):62-64.[LI Hai-dong,LEI Wei-xiang,OUYANG Yan,et al.Countermeasures of Environmental Pollution Control From Coal Gangue Pile[J].Environmental Protection,2018,46(11):62-64.]
[2] 李海东,沈渭寿,贾明,等.大型露天矿山生态破坏与环境污染损失的评估[J].南京林业大学学报(自然科学版),2015,39(6):112-118.[LI Hai-dong,SHEN Wei-shou,JIA Ming,et al.Economic Losses Assessment for Ecological Destruction and Environmental Pollution in Large-Scale Opencast Mine[J].Journal of Nanjing Forestry University(Natural Sciences Edition),2015,39(6):112-118.]
[3] 吕国屏,廖承锐,高媛赟,等.激光雷达技术在矿山生态环境监测中的应用[J].生态与农村环境学报,2017,33(7):577-585.[LÜ Guo-ping,LIAO Cheng-rui,GAO Yuan-yun,et al.Application of LiDAR Techniques to Monitoring of Eco-Environment in Mining Areas[J].Journal of Ecology and Rural Environment,2017,33(7):577-585.
[4] 苏阳,祁元,王建华,等.基于LiDAR数据的额济纳绿洲胡杨(Populus euphratica)河岸林植被覆盖分类与植被结构参数提取[J].中国沙漠,2017,37(4):689-697.[SU Yang,QI Yuan,WANG Jian-hua,et al.Vegetation Coverage Classification and Vegetation Structure Parameters Extraction of Populus euphratica Forest in Ejina Oasis by LiDAR Data[J].Journal of Desert Research,2017,37(4):689-697.
[5] 杨敏,林杰,顾哲衍,等.基于Landsat 8 OLI多光谱影像数据和BP经网路的叶面积指数反演[J].中国水土保持科学,2015,13(4):86-93.[YANG Min,LIN Jie,GU Zhe-yan,et al.Leaf Area index Retrieval Based on Landsat 8 OLI Multi-Spectral Image Data and BP Neural Network[J].Science of Soil and Water Conservation,2015,13(4):86-93.]
[6] WULDER M.Optical Remote-Sensing Techniques for the Assessment of Forest Inventory and Biophysical Parameters[J].Progress in Physical Geography,1998,22(4):449-476.
[7] LIM K,TREITZ P,WULDER M,et al.LIDAR Remote Sensing of Forest Structure[J].Progress in Physical Geography,2003,27(1):88-106.
[8] 郭向前,郝伟涛,李响.基于机载LIDAR技术的研究及其展望[J].测绘与空间地理信息,2013,36(2):69-72.[GUO Xiang-qian,HAO Wei-tao,LI Xiang.Based on the Airborne LIDAR Technology Research and Its Prospect[J].Geomatics & Spatial Information Technology,2013,36(2):69-72.
[9] 庞勇,李增元,陈尔学,等.激光雷达技术及其在林业上的应用[J].林业科学,2005,41(3):129-136.[PANG Yong,LI Zeng-yuan,CHEN Er-xue,et al.Lidar Remote Sensing Technology and Its Application in Forestry[J].Scientia Silvae Sinicae,2005,41(3):129-136.
[10] 李海东,沈渭寿,刘波,等.西藏高寒河谷沙地不同演替阶段植被的高光谱特征[J].生态与农村环境学报,2014,30(4):521-525.[LI Hai-dong,SHEN Wei-shou,LIU Bo,et al.Hyperspectral Characteristics of Vegetations in Succession on Sandlot in Alpine Valleys of Tibet,China[J].Journal of Ecology and Rural Environment,2014,30(4):521-525.
[11] BONAN G B.Importance of Leaf Area Index and Forest Type When Estimating Photosynthesis in Boreal Forests[J].Remote Sensing of Environment,1993,43(3):303-314.
[12] ANDERSEN J,DYBKJAER G,JENSEN K H,et al.Use of Remotely Sensed Precipitation and Leaf Area Index in a Distributed Hydrological Model[J].Journal of Hydrology,2002,264(1/2/3/4):34-50.
[13] ALONZO M,BOOKHAGEN B,MCFADDEN J P,et al.Mapping Urban Forest Leaf Area Index With Airborne Lidar Using Penetration Metrics and Allometry[J].Remote Sensing of Environment,2015,162:141-153.

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

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 8

编辑推荐

Metrics

本文评价

[1]	周启星, 唐景春, 魏树和. 环境绿色修复的地球化学基础与相关理论探讨[J]. 生态与农村环境学报, 2020, 36(1): 1-10.
[2]	胡文, 王济, 李春华, 叶春, 魏伟伟. 浅水湖泊模型PCLake及其应用进展[J]. 生态与农村环境学报, 2019, 35(6): 681-688.
[3]	李海东, 高媛赟, 燕守广. 生态保护红线区废弃矿山生态修复监管[J]. 生态与农村环境学报, 2018, 34(8): 673-677.
[4]	田美荣, 高吉喜, 宋国宝, 邹长新, 郑好. 基于主导生态功能与生态退化程度的生态修复分区研究[J]. 生态与农村环境学报, 2017, 33(1): 7-14.
[5]	田美荣, 刘志强, 高吉喜, 向昌林. 基于种子库激活的沙化草地生态修复技术应用[J]. 生态与农村环境学报, 2017, 33(1): 32-37.
[6]	吴晓东, 潘继征, 李文朝, 黄峰, 赵海光. 滆湖东岸生态修复试验区的水质净化效果[J]. 生态与农村环境学报, 2013, 29(3): 284-289.
[7]	蔡树美, 诸海焘, 钱晓腈, 余廷园, 田吉林. 不同磷初始浓度对紫萍生长及磷吸收效率的影响[J]. 生态与农村环境学报, 2012, 28(1): 88-92.
[8]	孙铁珩, 周启星. 污染生态学的研究前沿与展望[J]. 生态与农村环境学报, 2000, 16(3): 42-45,50.