[1] Richardson J J, Moskal L M, Kim S H. Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR[J]. Agricultural and Forest Meteorology, 149, 0-1160(2009).

[2] Lim K, Treitz P, Baldwin K et al. Lidar remote sensing of biophysical properties of tolerant northern hardwood forests[J]. Canadian Journal of Remote Sensing, 29, 658-678(2003).

[3] Morsdorf F, K.Tz B, Meier E et al. Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction[J]. Remote Sensing of Environment, 104, 50-61(2006).

[4] Ice Mclennan D.. clouds and land elevation (ICESat-2) mission[J]. Proceedings of SPIE - The International Society for Optical Engineering, 7826, 10-18(2010).

[5] Markus T, Neumann T, Martino et al. The ice, cloud, and land elevation satellite-2 (icesat-2): science requirements, concept, and implementation[J]. Remote Sensing of Environment, 190, 260-273(2017).

[6] Martino A. ATLAS performance spreadsheet(2017). https://icesat-2.gsfc.nasa.gov/legacy-data/sigma/sigma_data.php

[7] Neuenschwander A, Pitts K. The ATL08 land and vegetation product for the ICESat-2 Mission[J]. Remote Sensing of Environment, 221, 247-259(2019).

[8] Neuenschwander A L, Magruder L A. Canopy and terrain height retrievals with ICESat-2: A first look[J]. Remote Sensing, 11, 1721-1734(2019).

[9] Amy N, Lori M. The potential impact of verticalsSampling uncertainty on ICESat-2/ATLAS terrain and canopy height retrievals for multiple ecosystems[J]. Remote Sensing, 8, 1039-1055(2016).

[10] Gardner C S. Ranging performance of satellite laser altimeters[J]. IEEE Transactions on Geoscience & Remote Sensing, 30, 1061-1072(1992).

[11] Sun G, Ranson K J. Modeling lidar returns from forest canopies[J]. IEEE Transactions on Geoscience and Remote Sensing, 38, 2617-2626(2000).

[12] Johnson S, Gatt P. Analysis of Geiger-mode APD laser radars[J]. Proceedings of SPIE - The International Society for Optical Engineering, 5086, 359-369(2003).

[13] Degnan J. Impact of receiver deadtime on photon-counting SLR and altimetry during daylight operations[C], 339-346(2008).

[14] Moussavi M S, Abdalati W, Scambos T et al. Applicability of an automatic surface detection approach to micro-pulse photon-counting lidar altimetry data: implications for canopy height retrieval from future ICESat-2 data[J]. International Journal of Remote Sensing, 35, 5263-5279(2014).

[15] Nie S, Wang C, Xi X et al. Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data[J]. Optics Express, 26, A520(2018).

[16] Kwok R, Markus T, Morison J et al. Profiling sea ice with a multiple altimeter beam experimental lidar (MABEL)[J]. Journal of Atmospheric & Oceanic Technology, 31, 1151-1168(2014).

[17] Jalkanen S R. Intra-annual height increment of Pinus sylvestris at high latitudes in Finland[J]. Tree Physiology, 27, 1347-1353(2007).

[18] WANG Yue, LI Song, TIAN Xin et al. An adaptive directional model for estimating vegetation canopy height using space-borne photon counting laser altimetry data[J]. Journal of Infrared and Millimeter Waves, 39, 363-371(2020).

[19] Korhonen L, Korpela I, Heiskanen J et al. Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index[J]. Remote Sensing of Environment, 115, 1065-1080(2011).

[20] Gastellu-Etchegorry J P, Yin T, Lauret N et al. Simulation of satellite, airborne and terrestrial LiDAR with DART (I): Waveform simulation with quasi-Monte Carlo ray tracing[J]. Remote Sensing of Environment, 184, 418-435(2016).

[21] Yin T, Lauret N, Gastellu-Etchegorry J P. Simulation of satellite, airborne and terrestrial LiDAR with DART (II): ALS and TLS multi-pulse acquisitions, photon counting, and solar noise[J]. Remote Sensing of Environment, 454-468(2016).