Analysis of Atmospheric Detection Algorithm by Photon-Counting Laser Altimeter Satellite

被引:3
|
作者
Yao Jiaqi [1 ,2 ]
Zhai Haoran [2 ,3 ]
Liu Ren [2 ,4 ]
Zhu Hong [5 ]
Hu Liuru [6 ]
Tang Xinming [1 ,2 ,4 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geomrt, Qingdao 266590, Shandong, Peoples R China
[2] Minist Nat Resources PRChina, Land Satellite Remote Sensing Applicat Ctr, Beijing 100048, Peoples R China
[3] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
[4] Hohai Univ, Sch Earth Sci & Engn, Nanjing 211100, Jiangsu, Peoples R China
[5] Inst Disaster Prevent, Coll Ecol & Environm, Langfang 065201, Hebei, Peoples R China
[6] Minist Nat Resources PR China, Topog Surveying Brigade 1, Xian 710054, Shaanxi, Peoples R China
关键词
remote sensing; photon counting; laser altimetry satellite; atmospheric detection; multi beam; ICESat-2; cloud aerosol transport system; CLOUD;
D O I
10.3788/LOP202259.2228002
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As a new generation of laser altimetry satellite, photon-counting laser altimetry satellite has better data coverage density and altimetry accuracy. The final altimeter data's accuracy is greatly influenced by forward scattering caused by cloud, aerosol layers, and snow blowing. The atmospheric detection algorithm of the photon-counting laser altimeter satellite is considerably different from that of the traditional laser altimeter satellite. This study focuses on the related technologies of photon-counting laser altimetry satellite atmospheric detection and summarizes two photon-counting satellites cloud aerosol transmission system and ICESat-2 from the aspects of system parameters, atmospheric detection technology, and inversion of atmospheric-related parameters, and the difficulties in atmospheric detection technology of existing photon-counting laser altimetry satellites are examined. The research on photon-counting satellite atmospheric detection technology in this study will promote the research on photon-counting lidars in China.
引用
收藏
页数:10
相关论文
共 23 条
  • [1] Abshire JB, 2003, INT GEOSCI REMOTE SE, P1534
  • [2] [李国元 Li Guoyuan], 2021, [测绘学报, Acta Geodetica et Cartographica Sinica], V50, P1338
  • [3] [李国元 Li Guoyuan], 2017, [遥感学报, Journal of Remote Sensing], V21, P96
  • [4] Li J.H., 2012, J GREEN SCI TECHNOL, P108
  • [5] The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance
    Liu, Zhaoyan
    Vaughan, Mark
    Winker, David
    Kittaka, Chieko
    Getzewich, Brian
    Kuehn, Ralph
    Omar, Ali
    Powell, Kathleen
    Trepte, Charles
    Hostetler, Chris
    [J]. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2009, 26 (07) : 1198 - 1213
  • [6] [毛飞跃 Mao Feiyue], 2010, [光学学报, Acta Optica Sinica], V30, P3097
  • [7] The Cloud-Aerosol Transport System (CATS): A Technology Demonstration on the International Space Station
    McGill, Matthew J.
    Yorks, John E.
    Scott, V. Stanley
    Kupchock, Andrew W.
    Selmer, Patrick A.
    [J]. LIDAR REMOTE SENSING FOR ENVIRONMENTAL MONITORING XV, 2015, 9612
  • [8] Palm SP, 2019, NSIDC, V1, DOI 10.5067/ATLAS/ATL09.001
  • [9] Cloud-screening and quality control algorithms for the AERONET database
    Smirnov, A
    Holben, BN
    Eck, TF
    Dubovik, O
    Slutsker, I
    [J]. REMOTE SENSING OF ENVIRONMENT, 2000, 73 (03) : 337 - 349
  • [10] Story S, 2022, ALGORITHM THEORETICA