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全国林草资源调查机载大光斑激光雷达挂飞检校和验证

  • 刘迎春 ,
  • 高显连 ,
  • 贺岩 ,
  • 崔晨彦 ,
  • 高剑新 ,
  • 俞家勇 ,
  • 蔡龙涛 ,
  • 吴发云
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  • 1.国家林业和草原局调查规划设计院,北京 100714
    2.中国科学院上海光学精密机械研究所,上海 201800
    3.安徽建筑大学,合肥 230601
    4.东北林业大学,哈尔滨 150040
刘迎春(1984-),男,山东枣庄人,高工,博士,主要从事激光雷达林业产品开发和应用工作。Email: liuyingchun2005@163.com

收稿日期: 2021-02-09

  修回日期: 2021-04-08

  网络出版日期: 2021-06-03

基金资助

国家自然科学基金项目(31400426);国家林业和草原局行业管理专项(2130237);国家林业和草原局碳卫星海南试验站设备采购及集成项目(2130299)

Calibration and Validation of National Forest and Grassland Inventory Airborne Large-Footprint LiDAR

  • Yingchun LIU ,
  • Xianlian GAO ,
  • Yan HE ,
  • Chenyan CUI ,
  • Jianxin GAO ,
  • Jiayong YU ,
  • Longtao CAI ,
  • Fayun WU
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  • 1. Academy of Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
    2. Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China
    3. Anhui Jianzhu University,Hefei 230601,China
    4. Northeast Forestry University,Harbin 150040,China

Received date: 2021-02-09

  Revised date: 2021-04-08

  Online published: 2021-06-03

摘要

森林在全球陆地生态系统中起到重要作用,激光雷达是除样地调查之外能够准确评估其资源量和碳汇量非常重要的技术方法。由于森林高度的空间异质性,获得大光斑激光雷达的准确位置,是其应用于森林资源调查的前提。对新研制的全国林草资源调查机载大光斑激光雷达(NFGI-LIDAR-L)和地面激光探测器,通过编写大光斑激光雷达检校算法,并基于激光能量分布特征改进探测器法计算大光斑激光雷达中心位置算法,实现NFGI-LIDAR-L几何检校。结果显示:基于激光能量分布特征计算大光斑激光雷达中心位置的方法,计算精度从5m提升到1m以内;NFGI-LIDAR-L在x,y,z方向精度和总均方根误差(RMSE)从检校前的60.51,52.76,1.88,80.30m提高到检校后的0.61,0.54,0.05,0.82m,提升了2个数量级;与控制点相比,NFGI-LIDAR-L绝对高程精度在平坦地面可以达到0.12m。通过研究,以期对机载和星载大光斑激光雷达几何检校提供借鉴。

本文引用格式

刘迎春 , 高显连 , 贺岩 , 崔晨彦 , 高剑新 , 俞家勇 , 蔡龙涛 , 吴发云 . 全国林草资源调查机载大光斑激光雷达挂飞检校和验证[J]. 林草资源研究, 2021 , 0(2) : 52 -60 . DOI: 10.13466/j.cnki.lyzygl.2021.02.008

Abstract

Forests play an important role in global terrestrial ecosystems.Precisely assessing forest resources and carbon sink with sample survey at a large scale is important before LiDAR is commonly used.To acquire precise geolocation of LiDAR footprint is an important step before it is applied in forest resource investigation because of the high special heterogeneity of forest height.In this paper,we use newly developed National Forest and Grassland Inventory Large-footprint LiDAR (NFGI-LIDAR-L)and ground Laser detector,develope a large-footprint LiDAR calibration method,improve the method of calculating the geocentric based on spatial pattern of laser from ground Laser detector,and calibrate NFGI-LIDAR-L.The results show that the method based on energy density of LiDAR improve the accuracy of calculating center location of large-footprint LiDAR from 5m to 1m.After calibration,the x,y,z and total accuracies of NFGI-LIDAR-L are improved from 60.51,52.76,1.88m and 80.30m to 0.61,0.54,0.05m and 0.82m,respectively.The absolute elevation accuracy of NFGI-LIDAR-L is 0.12m with flat surfaces validate with Ground Control Points.Therefore,the calibration method can be used in both calibration of airborne and spaceborne large-footprint LiDAR.

参考文献

[1] 肖兴威. 中国森林资源清查[M]. 北京: 中国林业出版社, 2005.
[2] 刘迎春, 高显连, 付超, 等. 基于森林资源清查数据估算中国森林生物量固碳潜力[J]. 生态学报, 2019,39(11):4002-4010.
[3] Pang Yong, Lefsky M, Andersen H, et al. Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data[J]. Canadian Journal of Remote Sensing, 2008,34(S2):471-484.
[4] Saatchi S S, Harris N L, Brown S, et al. Benchmark map of forest carbon stocks in tropical regions across three continents[J]. Proceedings of the National Academy of Sciences, 2011,108(24):9899-9904.
[5] Su Yanjun, Guo Qinghua, Xue Baolin, et al. Spatial distribution of forest aboveground biomass in China:Estimation through combination of spaceborne lidar,optical imagery,and forest inventory data[J]. Remote Sensing of Environment, 2016,173:187-199.
[6] 邢艳秋. 星载激光雷达反演森林生物量方法及其应用[M]. 北京: 科学出版社, 2016.
[7] 许昌建, 刘迎春, 左丽君, 等. 基于仿真大光斑激光雷达和多层感知器的森林地上生物量估算模型[J]. 林业资源管理. 2021(1):50-60.
[8] Schutz B E. GLAS Altimeter Post-Launch Calibration/Validation Plan[R/OL]. (2002 -02-01)[2021-04-05]. www.csr.utexas.edu/glas/pdf/plan/validation_plan_v1_oct2001.pdf.
[9] Magruder L, Silverberg E, Webb C, et al. In situ timing and pointing verification of the ICESat altimeter using a ground-based system[J]. Geophysical Research Letters, 2005,doi: 10.1029/2005GL-023504.
[10] 韩玲, 田世强, 谢俊峰. 星载激光测高仪检校技术发展现状浅析[J]. 航天返回与遥感, 2016,37(6):11-19.
[11] 唐新明, 谢俊峰, 付兴科, 等. 资源三号02星激光测高仪在轨几何检校与试验验证[J]. 测绘学报, 2017,46(6):714-723.
[12] 吴发云, 高显连, 潘超, 等. 机载林业探测大光斑激光雷达系统的设计与应用[J]. 林业资源管理, 2018(4):125-132.
[13] 谢方. 基于2000国家大地坐标系的中国大陆速度场模型建立方法研究[D]. 西安: 长安大学, 2013.
[14] Altamimi Z, Rebischung P, Métivier L, et al. ITRF2014:A new release of the International Terrestrial Reference Frame modeling nonlinear station motions[J]. Journal of Geophysical Research:Solid Earth, 2016,121(8):6109-6131.
[15] 牛丽娟. 测量坐标转换模型研究与转换系统实现[D]. 西安: 长安大学, 2010.
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