Deriving Highly Accurate Shallow Water Bathymetry From Sentinel-2 and ICESat-2 Datasets by a Multitemporal Stacking Method

被引:53
作者
Xu, Nan [1 ]
Ma, Xin [2 ,3 ]
Ma, Yue [4 ,5 ]
Zhao, Pufan [4 ]
Yang, Jian [4 ]
Wang, Xiao Hua [5 ,6 ]
机构
[1] Nanjing Normal Univ, Coll Marine Sci & Engn, Nanjing 210023, Peoples R China
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China
[3] Chinese Acad Sci, CAS Key Lab Spectral Imaging Technol, Xian 710119, Peoples R China
[4] Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China
[5] Univ New South Wales, Sino Australian Res Consortium Coastal Management, Sch Sci, Canberra, NSW 2610, Australia
[6] Ocean Univ China, Coll Ocean & Atmospher Sci, Qingdao 266100, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Bathymetry; Satellites; Laser radar; Clouds; Stacking; Sea measurements; Earth; empirical model; Ice; Cloud; and land Elevation Satellite-2 (ICESat-2); Sentinel-2; shallow water; the South China Sea; YONGLE ATOLL; CORAL-REEFS; IMAGERY; DEPTH; COMMUNITIES; ELEVATION; ISLANDS; MODEL; AREA;
D O I
10.1109/JSTARS.2021.3090792
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
Empirical models have been widely used to retrieve shallow water bathymetry from multispectral/hyperspectral satellite imagery. In traditional studies on deriving the topography and monitoring its temporal changes, a single date satellite image without clouds corresponded to a bathymetric map and multidate images corresponded to multiple bathymetric maps. The satellite image noise caused by various environmental conditions and satellite sensors can inevitably introduce errors or gaps in deriving bathymetric maps. Also, empirical models are limited in some remote areas due to the lack of prior bathymetric points. In this article, using only satellite data, including multitemporal Sentinel-2 images and Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data, a multitemporal stacking method was developed to derive highly accurate and cloud free shallow water bathymetry with accuracy of approximately 1 m and the depth range exceeding 22 m. The proposed method was tested and validated by an airborne bathymetric lidar. To be specific, our method using multitemporal Sentinel-2 images can achieve a mean root mean square error (RMSE) of 1.08 m (R-2 = 0.94) by comparing with in-situ airborne lidar data around Ganquan Island, which is better than the result (R-2 = 0.92, RMSE = 1.46 m) derived from single date image based methods.Also, the gaps in a bathymetric map due to clouds or other noise can be avoidable benefitting from the stacking of multiple date satellite images. In the future, this satellite data driven method can be further extended to the globe to produce highly accurate and cloud free bathymetry around clear shallow water benefited from prior ICESat-2 bathymetric data.
引用
收藏
页码:6677 / 6685
页数:9
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