BATHYMETRIC METHOD OF NEARSHORE BASED ON ICESAT-2/ATLAS DATA-A CASE STUDY OF THE ISLANDS AND REEFS IN THE SOUTH CHINA SEA

被引:2
作者
Wang, Zijia [1 ,2 ,3 ]
Xi, Xiaohuan [1 ,2 ]
Nie, Sheng [1 ,2 ]
Wang, Cheng [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年
基金
国家重点研发计划;
关键词
ICESat-2/ATLAS; noise photons removal; interval estimate; the modified OPTICS; nearshore bathymetry;
D O I
10.1109/IGARSS46834.2022.9884117
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Photon-counting Light Detection and Ranging (LiDAR) can penetrate a certain depth of water and provide reliable date support for water depth information extraction. Taking the islands and reefs in the South China Sea as an example, this paper uses the only in-orbit spaceborne photoncounting LiDAR - Ice, Cloud and land Elevation Satellite2/Advanced Topographic Laser Altimeter System (ICESat-2/ATLAS) to carry out research on depth extraction and accuracy evaluation in shallow water areas of islands and reefs. Aiming at difference in the density distribution of water surface and bottom photons, this study respectively utilizes the interval estimate and the modified Ordering Points to Identify the Clustering Structure (OPTICS) to filter out noise photons, and the modified OPTICS is changed twice by filter parameters. Then, bathymetric extraction is realized by refraction correction and tide correction. Finally, the manual labeling photons and airborne bathymetric LiDAR data of South China Sea is used to evaluate the denoising and bathymetric accuracy.
引用
收藏
页码:2868 / 2871
页数:4
相关论文
共 6 条
  • [1] A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering
    Chen, Yifu
    Le, Yuan
    Zhang, Dongfang
    Wang, Yong
    Qiu, Zhenge
    Wang, Lizhe
    [J]. REMOTE SENSING OF ENVIRONMENT, 2021, 256
  • [2] Lou L., 2020, ADAPTIVE DENOISING A
  • [3] Estimating water levels and volumes of lakes dated back to the 1980s using Landsat imagery and photon-counting lidar datasets
    Ma, Yue
    Xu, Nan
    Sun, Jinyan
    Wang, Xiao Hua
    Yang, Fanlin
    Li, Song
    [J]. REMOTE SENSING OF ENVIRONMENT, 2019, 232
  • [4] Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS's Bathymetric Mapping Performance
    Parrish, Christopher E.
    Magruder, Lori A.
    Neuenschwander, Amy L.
    Forfinski-Sarkozi, Nicholas
    Alonzo, Michael
    Jasinski, Michael
    [J]. REMOTE SENSING, 2019, 11 (14)
  • [5] Classical tidal harmonic analysis including error estimates in MATLAB using T-TIDE
    Pawlowicz, R
    Beardsley, B
    Lentz, S
    [J]. COMPUTERS & GEOSCIENCES, 2002, 28 (08) : 929 - 937
  • [6] Zhu X., 2020, IEEE GEOSCI REMOTE S, V18, P1471