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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

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.

Cite this article

Yingchun LIU , Xianlian GAO , Yan HE , Chenyan CUI , Jianxin GAO , Jiayong YU , Longtao CAI , Fayun WU . Calibration and Validation of National Forest and Grassland Inventory Airborne Large-Footprint LiDAR[J]. Forest and Grassland Resources Research, 2021 , 0(2) : 52 -60 . DOI: 10.13466/j.cnki.lyzygl.2021.02.008

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