Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data
文献类型：期刊论文
| 作者 | Liu, Yongming8; Deng, Ruru4,5; Qin, Yan7; Cao, Bin; Liang, Yeheng; Liu, Yingfei6; Tian, Jianlin1; Wang, Shuailei2; eesdrr@mail.sysu.edu.cn; qin.yan@foxmail.com |
| 刊名 | APPLIED OPTICS
 |
| 出版日期 | 2019 |
| 卷号 | 58期号:27页码:7538 |
| DOI | 10.1364/AO.58.007538 |
| 英文摘要 | Optimization-based semi-analytical methods (OSMs) and empirical methods (EMs) have been developed to derive bathymetry maps from satellite-based multispectral data of coral reefs, allowing for the management, monitoring, and protection of coral reefs. However, OSMs are often criticized due to the time-consuming requirements of iterative computations, yet they are praised for working without the need for in situ bathymetry data. EMs are praised for their time-saving characteristics and criticized for their need for in situ measurements. To estimate the water depth from multispectral data quickly without in situ bathymetry data, we provide a new EM that combines our previously developed OSM called the unmixing-based multispectral optimization process exemplar method (UMOPE) and an EM called Stumpfs ratio method (SRM). In the new method, reflectance values from a small number of sampled pixels and the corresponding water depths estimated by UMOPE are used to determine the regression parameters for SRM. Thus, SRM determines the upper limit of accuracy for the new method, and UMOPE determines the possibility of reaching the upper limit. The new method was evaluated using three types of imagery of Xisha Islands, namely, WorldView-2 imagery with three traditional visible bands (WV-2a), Landsat 8 imagery with four visible bands, and WV-2 imagery with six visible bands (WV-2b). The results show that the new method can perform as well as SRM for Landsat 8 data and WV-2b data with similar root mean square error values at different depths. The lack of a coastal band in WV-2a imagery may cause large errors for the new method in deep water regions, especially when the water-leaving reflectance is noise perturbed. We found that even though the depths estimated by UMOPE are not error free at different ranges of water depth, if the regression line between the depths estimated by UMOPE and the measured depths is near the 1:1 line, the new method can perform as well as SRM. The new method may facilitate the rapid estimation of bathymetry from free Landsat 8 data of optically shallow waters around the world without in situ bathymetry data. (C) 2019 Optical Society of America |
| 资助机构 | Science and Technology Planning Project of Guangdong Province, China [2017B020216001]; Innovation Projects in Water Resource of Guangdong Province, China [2016-08]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41071230]; Natural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of Guangdong Province [2017A030313238] ; Science and Technology Planning Project of Guangdong Province, China [2017B020216001]; Innovation Projects in Water Resource of Guangdong Province, China [2016-08]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41071230]; Natural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of Guangdong Province [2017A030313238] |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/18223]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 作者单位 | 1.Guangdong Res Inst Water Resources & Hydropower, Guangzhou 510630, Guangdong, Peoples R China 2.Chinese Acad Sci, South China Sea Inst Oceanol, Guangdong Key Lab Ocean Remote Sensing LORS, Guangzhou 510301, Guangdong, Peoples R China 3.Guangdong Starcart Technol Co Ltd, Guangzhou 510656, Guangdong, Peoples R China 4.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China 5.Sun Yat Sen Univ, Guangdong Engn Res Ctr Water Environm Remote Sens, Guangzhou 510275, Guangdong, Peoples R China 6.Sun Yat Sen Univ, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China 7.Sun Yat Sen Univ, Sch Marine Sci, Zhuhai 519000, Peoples R China 8.Jishou Univ, Sch Civil Engn & Architecture, Zhangjiajie 427000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Yongming,Deng, Ruru,Qin, Yan,et al. Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data[J]. APPLIED OPTICS,2019,58(27):7538, 7551. |
| APA | Liu, Yongming.,Deng, Ruru.,Qin, Yan.,Cao, Bin.,Liang, Yeheng.,...&qin.yan@foxmail.com.(2019).Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data.APPLIED OPTICS,58(27),7538. |
| MLA | Liu, Yongming,et al."Rapid estimation of bathymetry from multispectral imagery without in situ bathymetry data".APPLIED OPTICS 58.27(2019):7538. |
入库方式： OAI收割
来源：南海海洋研究所
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