气候变化领域集成服务门户(CCPortal): Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets

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DOI	10.1016/j.rse.2020.112047
	Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets
	Ma Y.; Xu N.; Liu Z.; Yang B.; Yang F.; Wang X.H.; Li S.
发表日期	2020
ISSN	00344257
卷号	250
英文摘要	Accurate bathymetric data is essential for marine, coastal ecosystems, and related studies. In the past decades, a lot of studies were investigated to obtain bathymetric data in shallow waters using satellite remotely sensed data. Satellite multispectral imagery has been widely used to estimate shallow water depths based on empirical models and physics-based models. However, the in-situ water depth information is essential (as the priori) to use the empirical model in a specific area, which limits its application, especially for remote reefs. In this study, the bathymetric maps in shallow waters were produced based on empirical models with only satellite remotely sensed data (i.e., the new ICESat-2 bathymetric points and Sentinel-2 multispectral imagery). The bathymetric points from the spaceborne ICESat-2 lidar were used in place of the in-situ auxiliary bathymetric points to train the classical empirical models (i.e., the linear model and the band ratio model). The bathymetric points were firstly extracted from noisy ICESat-2 raw data photons by an improved point cloud processing algorithm, and then were corrected for bathymetric errors (which were caused by the refraction effect in the water column, the refraction effect on the water surface, and the fluctuation effect on the water surface). With the trained empirical models and Sentinel-2 multispectral images, the bathymetric maps were produced for Yongle Atoll, in the South China Sea and the lagoon near Acklins Island and Long Cay, to the southeast of Bahama with four-date Sentinel-2 images. The bathymetry performance (including the accuracy and consistency of multi-date data) was evaluated and compared with the in-situ measurements. The results indicate that the bathymetric accuracy is well, and the RMSE is lower or close to 10% of the maximum depth for the two models with four-date images in two study areas. The consistency of multi-date data is well with the mean R2 of 0.97. The main novelties of this study are that the accuracy bathymetric points can be obtained from the ICESat-2 raw data using the proposed signal processing and error correction method, and using the ICESat-2 bathymetric points, the satellite multispectral imagery based on empirical models is no longer limited by local priori measurements, which were essential in previous studies. Hence, In the future, with the help of free and open-access satellite data (i.e., ICESat-2 data and Sentinel-2 imagery), this approach can be extended to a larger scale to obtain bathymetric maps in the shallow water of coastal areas, surroundings of islands and reefs, and inland waters. © 2020 Elsevier Inc.
英文关键词	Bathymetry; Empirical model; ICESat-2; Photon-counting lidar; Sentinel-2; South China Sea
语种	英语
scopus关键词	Bathymetry; Dielectric properties; Ecosystems; Error correction; Maps; Optical radar; Reefs; Refraction; Remote sensing; Satellite imagery; Signal processing; Surface waters; Bathymetric errors; Coastal ecosystems; In-situ measurement; Multi-spectral imagery; Multispectral images; Physics-based models; Satellite remotely sensed data; Shallow water depths; Hydrographic surveys; bathymetry; data set; empirical analysis; ICESat; lidar; multispectral image; remote sensing; satellite data; Sentinel; water depth; Acklins Island; Bahamas; Pacific Ocean; South China Sea
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179150
作者单位	College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China; School of Electronic Information, Wuhan University, Wuhan, 430072, China; School of Science, University of New South Wales, Canberra, BC 2610, Australia; College of Marine Science and Engineering, Nanjing Normal University, Nanjing, 210023, China; College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430072, China; Sino Australian Research Consortium for Coastal Management, the University of New South Wales, Canberra, BC 2610, Australia
推荐引用方式 GB/T 7714	Ma Y.,Xu N.,Liu Z.,et al. Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets[J],2020,250.
APA	Ma Y..,Xu N..,Liu Z..,Yang B..,Yang F..,...&Li S..(2020).Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets.Remote Sensing of Environment,250.
MLA	Ma Y.,et al."Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets".Remote Sensing of Environment 250(2020).