[2] [2] NEUENSCHWANDER A, PITTS K. The ATL08 land and vegetation product for the ICESat-2 mission[J]. Remote Sensing of Environment, 2019(221):247-259. doi:10.1016/j.rse.2018.11.005.

[3] [3] MARKUS T,NEUMANN T,MARTINO A,et al. The Ice,Cloud,and land Elevation Satellite-2(ICESat-2):science requirements, concept,and implementation[J]. Remote Sensing of Environment, 2017(190):260-273. doi:10.1016/j.rse.2016.12.029.

[4] [4] CHEN B, PANG Y, LI Z, et al. Potential of forest parameter estimation using metrics from photon counting LiDAR data in Howland research forest[J]. Remote Sensing, 2019,11(7):856. doi:10.3390/rs11070856.

[5] [5] HUANG J,XING Y,YOU H,et al. Particle swarm optimization-based noise filtering algorithm for photon cloud data in forest area[J]. Remote Sensing, 2019,11(8):980. doi:10.3390/rs11080980.

[7] [7] MA Y, XU N, SUN J, et al. Estimating water levels and volumes of lakes dated back to the 1980s using Landsat imagery and photon-counting lidar datasets[J]. Remote Sensing of Environment, 2019(232):111287. doi:10.1016/j.rse.2019.111287.

[8] [8] MA Y, XU N, LIU Z, et al. Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets[J]. Remote Sensing of Environment, 2020(250):112047. doi:10.1016/j.rse.2020.112047.

[9] [9] XIE Dongping, LI Guoyuan, WANG Jianmin, et al. A novel denoising algorithm for photon-counting laser data based on LDBSCAN[C]// AOPC2019: Advanced Laser Materials and Laser Technology. Beijing: SPIE, 2019: 267-280. doi: 10.1117/ 12.2547964.