Satellite derived bathymetry based on ICESat-2 diffuse attenuation signal without prior information

被引:38
作者
Zhang, Xuechun [1 ,2 ,3 ]
Ma, Yi [2 ,3 ]
Li, Zhongwei [1 ]
Zhang, Jingyu [2 ,3 ]
机构
[1] China Univ Petr, Coll Oceanog & Space Informat, Qingdao 266500, Peoples R China
[2] Minist Nat Resources, Inst Oceanog 1, Lab Marine Phys & Remote Sensing, Qingdao 266061, Peoples R China
[3] Minist Nat Resources, Technol Innovat Ctr Ocean Telemetry, Qingdao 266061, Peoples R China
基金
中国国家自然科学基金;
关键词
Satellite derived bathymetry; ICESat-2; lidar; Diffuse attenuation coefficient; Sentinel-2; OCEAN SUBSURFACE; WATER DEPTH; RETRIEVAL; PRODUCTS; IMAGERY;
D O I
10.1016/j.jag.2022.102993
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Bathymetric information is critical for environmental monitoring and maintenance of marine safety. The signal received by passive optical remote sensors contains the reflectance information from the seabed, which then forms the informational basis of bathymetry; however, passive optical bathymetry models often require partial prior information. Although spaceborne active lidar has been shown to accurately detect bathymetry within narrow range of tracks, for some small islands or coastal sites, these tracks may not accurately traverse the shallow ocean area. To this end, a satellite derived bathymetry method based on ICESat-2 diffuse attenuation signal without prior information was proposed here. The diffuse attenuation coefficients of the water column were estimated according to the ICESat-2 lidar signal of deep areas near the target shallow water area, and the parameters for the bathymetry algorithm without prior depth information were obtained. Combined with the Sentinel-2 multispectral imagery, accurate large-scale bathymetric information of Zhongye Island and Reefs, Guam, and Ngau were obtained. Bathymetric data from ICESat-2 of multiple tracks were used for verification, and the results showed that the new model performed well, as mean absolute error (MAE) for the three study areas ranged 0.35-1.52 m, and root Mean square error (RMSE) fell between 0.74 and 1.89 m. In the absence of any bathymetric information, the new method can achieve higher or similar accuracy to the more commonly employed Stumpf model.
引用
收藏
页数:15
相关论文
共 46 条
[1]   Determining Bathymetry of Shallow and Ephemeral Desert Lakes Using Satellite Imagery and Altimetry [J].
Armon, M. ;
Dente, E. ;
Shmilovitz, Y. ;
Mushkin, A. ;
Cohen, T. J. ;
Morin, E. ;
Enzel, Y. .
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (07)
[2]   High-Resolution Reef Bathymetry and Coral Habitat Complexity from Airborne Imaging Spectroscopy [J].
Asner, Gregory P. ;
Vaughn, Nicholas R. ;
Balzotti, Christopher ;
Brodrick, Philip G. ;
Heckler, Joseph .
REMOTE SENSING, 2020, 12 (02)
[3]   Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission [J].
Caballero, Isabel ;
Stumpf, Richard P. .
REMOTE SENSING, 2020, 12 (03)
[4]   A comparison of Landsat 8, RapidEye and Pleiades products for improving empirical predictions of satellite-derived bathymetry [J].
Cahalane, C. ;
Magee, A. ;
Monteys, X. ;
Casal, G. ;
Hanafin, J. ;
Harris, P. .
REMOTE SENSING OF ENVIRONMENT, 2019, 233
[5]   Partition satellite derived bathymetry for coral reefs based on spatial residual information [J].
Chen, Anna ;
Ma, Yi ;
Zhang, Jingyu .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (08) :2807-2826
[6]   A dual band algorithm for shallow water depth retrieval from high spatial resolution imagery with no ground truth [J].
Chen, Benqing ;
Yang, Yanming ;
Xu, Dewei ;
Huang, Erhui .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 151 :1-13
[7]   Polarization effects on oceanographic lidar [J].
Churnside, James H. .
OPTICS EXPRESS, 2008, 16 (02) :1196-1207
[8]   Review of profiling oceanographic lidar [J].
Churnside, James H. .
OPTICAL ENGINEERING, 2014, 53 (05)
[9]   Change detection of coral reef habitat using Landsat-5 TM, Landsat 7 ETM+ and Landsat 8 OLI data in the Red Sea (Hurghada, Egypt) [J].
El-Askary, H. ;
Abd El-Mawla, S. H. ;
Li, J. ;
El-Hattab, M. M. ;
El-Raey, M. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (06) :2327-2346
[10]   Confidence Levels, Sensitivity, and the Role of Bathymetry in Coral Reef Remote Sensing [J].
Goodman, James A. ;
Lay, Mui ;
Ramirez, Luis ;
Ustin, Susan L. ;
Haverkamp, Paul J. .
REMOTE SENSING, 2020, 12 (03)