ICESat-2/ATLAS数据反演林下地形精度验证

Accuracy verification of terrain under forest estimated from ICESat-2/ATLAS data

  • 摘要: 针对星载激光雷达数据反演林下数字地面模型(Digital Terrain Model,DTM)存在困难的问题,研究了冰云陆地高程卫星-2 (Ice, Cloud, and land Elevation Satellite,ICESat-2)/先进地形激光高度计系统(Advanced Opographic Laser Altimeter System,ATLAS)的强弱光束数据反演林下地形的精度,并探究了冠层高度及植被覆盖率对于ICESat-2/ATLAS反演林下DTM精度的影响。研究结果表明:强波束反演林下DTM的精度为R2=1,RMSE=0.74 m,弱波束反演林下DTM的精度为R2=1,RMSE=0.76 m,强波束相对弱波束表现出更优的反演精度,但是,强光束与弱光束的光子云数据均可为反演林下DTM提供科学数据。从研究区植被的整体情况来看,随冠层高度及植被覆盖率的增加,不同激光类型数据均出现误差逐步增加的情况。

     

    Abstract: In view of the difficulties in retrieving Digital Terrain Model (DTM) with the spaceborne lidar data, the terrain elevation estimation accuracy of Ice, Cloud, and land Elevation Satellite-2 (ICESat-2)/Advanced Terrain Advanced topographic laser altimeter system (ATLAS) strong and weak beam data under the forest was studied, and the effect of canopy height and vegetation coverage on ICESat-2/ATLAS estimation accuracy of DTM was explored. The results show that the accuracy of DTM under the forest with strong beam estimation accuracy is R2=1, RMSE=0.74 m, and that with weak beam estimation accuracy is R2=1, RMSE=0.76 m. The performance of the strong beam estimation accuracy performed better than that of the weak beam, but both the photon cloud data of the strong beam and the weak beam can provide scientific data for estimating the DTM under the forest. In the study area, with the increase of the canopy height and vegetation coverage, the error of different laser types data gradually increases.

     

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