• Infrared and Laser Engineering
  • Vol. 49, Issue 11, 20200237 (2020)
Jiapeng Huang1, Yanqiu Xing1, Lei Qin1, and Tingting Xia2
Author Affiliations
  • 1Centre for Forest Operations and Environment, Northeast Forestry University, Harbin 150000, China
  • 2College of Mechanical and Eletrical Engineering, Northeast Forestry University, Harbin 150000, China
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    DOI: 10.3788/IRLA20200237 Cite this Article
    Jiapeng Huang, Yanqiu Xing, Lei Qin, Tingting Xia. Accuracy verification of terrain under forest estimated from ICESat-2/ATLAS data[J]. Infrared and Laser Engineering, 2020, 49(11): 20200237 Copy Citation Text show less
    Location of study area
    Fig. 1. Location of study area
    Schematic of ATLAS data
    Fig. 2. Schematic of ATLAS data
    Research flow chart
    Fig. 3. Research flow chart
    Schematic diagram of overlap between ATLAS data and G-LiHT data
    Fig. 4. Schematic diagram of overlap between ATLAS data and G-LiHT data
    Schematic diagram of ground elevation under forest by using ATLAS and G-LiHT data
    Fig. 5. Schematic diagram of ground elevation under forest by using ATLAS and G-LiHT data
    Scatter diagram of ATLAS data and G-LiHT data under different laser types. (a) Weak beam; (b) Strong beam
    Fig. 6. Scatter diagram of ATLAS data and G-LiHT data under different laser types. (a) Weak beam; (b) Strong beam
    Estimation accuracy of ATLAS data under different canopy height conditions. (a) Strong beam; (b) Weak beam
    Fig. 7. Estimation accuracy of ATLAS data under different canopy height conditions. (a) Strong beam; (b) Weak beam
    ParametersDescription of parametersSource of parameters
    lat_phLatitude of each received photonATL03/gtx/heights/lat_ph
    lon_phLongitude of each received photonATL03/gtx/heights/lon_ph
    h_phHeight of each received photonATL03/gtx/heights/h_ph
    geoidGeoid height above WGS-84 reference ellipsoidATL03/gtx/geophys_corr/ geoid
    segment_idA 7 digit number identifiying the along-track geolocation segment numberATL03/gtx/ geolocation/segment_id
    ph_index_begIndex (1-based) within the photon-rate data of the first photon within this segmentATL03/gtx/geolocation/ ph_index_beg
    classed_pc_flagLand vegetation ATBD classification flag for each photon as either noise, ground, canopy, and top of canopy. 0=noise, 1=ground, 2=canopy, or 3=top of canopy ATL08/gtx/ signal_photons/ classed_pc_flag
    classed_pc_indxIndex (1-based) of the ATL08 classified signal photon from the start of the ATL03 geolocation segment specified on the ATL08 product at the photon rate in the corresponding parameter, ph_segment_id ATL08/gtx/signal_photons/ classed_pc_indx
    ph_segment_idSegment ID of photons tracing back to specific 20 m segment_id on ATL03ATL08/gtx/signal_photons/ ph_segment_id
    Table 1.

    ATLAS parameters used in the paper

    研究使用的ATLAS参数

    Different laser intensities typesRMSE/m MAE/m R2ME/m
    Weak beam0.760.541.000.33
    Strong beam0.740.511.000.27
    Mean of different laser intensities types0.750.531.000.30
    Table 2.

    Estimation accuracy statistics of ATLAS data under different laser types

    不同激光类型条件下ATLAS数据反演精度统计

    Canopy heights/mRMSE/m MAE/m R2ME/m NpearsonspearmankendallVegetation coverage
    注:表格中数据分别为强波束数据/弱波束数据的精度统计数据
    0-50.49/0.900.41/0.571.00/0.990.33/0.3221.39%/20.48%1.00/1.001.00/0.990.95/0.9327%(28.5%)/25%(35.7%)
    6-100.47/0.500.41/0.381.00/1.000.29/0.2522.37%/24.34%1.00/1.001.00/0.990.97/0.9427%(33.0%)/66%(36.4%)
    11-150.52/0.820.42/0.681.00/0.990.33/0.5627.20%/33.01%1.00/1.001.00/0.990.96/0.9436%(30.4%)/66%(61.8%)
    16-200.66/0.970.47/0.761.00/0.990.35/0.5013.28%/11.57%1.00/1.000.99/0.940.93/0.8436%(50.0%)/66%(51.0%)
    21-1.25/0.660.99/0.580.98/0.980.77/0.4115.76%/10.60%0.99/1.000.84/0.680.67/0.5236%(42.0%)/40%(30.9%)
    Table 3.

    Estimation accuracy statistics of strong beam and weak beam data under different canopy heights

    不同冠层高度条件下强、弱波束数据反演精度统计

    Jiapeng Huang, Yanqiu Xing, Lei Qin, Tingting Xia. Accuracy verification of terrain under forest estimated from ICESat-2/ATLAS data[J]. Infrared and Laser Engineering, 2020, 49(11): 20200237
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