气候变化领域集成服务门户(CCPortal): Extending satellite ocean color remote sensing to the near-blue ultraviolet bands

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DOI	10.1016/j.rse.2020.112228
	Extending satellite ocean color remote sensing to the near-blue ultraviolet bands
	Wang Y.; Lee Z.; Wei J.; Shang S.; Wang M.; Lai W.
发表日期	2021
ISSN	00344257
卷号	253
英文摘要	Ultraviolet (UV) radiation has a profound impact on marine life, but historically and even currently, most ocean color satellites cannot provide radiance measurements in the UV, and thus UV penetration, in the global ocean. We develop a system (termed as UVISRdl) in this study, based on deep learning, to estimate remote sensing reflectance (Rrs) at 360, 380, and 400 nm (collectively termed as near-blue UV bands, nbUV) from Rrs in the visible bands that are obtained by ocean color satellites. This system is tested using both synthetic and field-measured data that cover a wide range and large number of values, with the resulted coefficient of determination close to 1.0 and bias close to 0 between UVISRdl estimated and known Rrs(nbUV). These results indicate excellent predictability of Rrs(nbUV) from Rrs(visible) via UVISRdl. The system was further applied to VIIRS (the Visible Infrared Imaging Radiometer Suite) data with the estimated Rrs(nbUV) evaluated using matchup field measurements, and obtained a mean absolute relative difference (MARD) at 360 nm of ~14% for oceanic waters and ~ 50% for coastal waters. These results are equivalent to those reported in the literature for satellite Rrs(visible) in oceanic and coastal waters. Examples of the global distribution of Rrs(nbUV), and subsequently the diffuse attenuation coefficient at the nbUV bands (Kd(nbUV)), are generated after applying UVISRdl to Rrs(visible) from the VIIRS data. The system lays the groundwork to generate decade-long Rrs(nbUV) and Kd(nbUV) from satellite ocean color data, which will be useful and important for both ocean color remote sensing and biogeochemical studies. © 2020 Elsevier Inc.
语种	英语
scopus关键词	Color; Deep learning; Oceanography; Satellites; Thermography (imaging); Biogeochemical studies; Coefficient of determination; Diffuse attenuation coefficients; Ocean color remote sensing; Ocean-color satellites; Remote-sensing reflectance; Satellite Ocean Color; Visible infrared imaging radiometer suites; Remote sensing; biogeochemistry; marine environment; ocean color; remote sensing; satellite altimetry; ultraviolet radiation; VIIRS; Satellites
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/179011
作者单位	Xiamen University, State Key Laboratory of Marine Environmental Science, Xiamen, 361102, China; School for the Environment, University of Massachusetts Boston, Boston, MA 02125, United States; NOAA Center for Satellite Applications and Research, Marine Ecosystems and Climate Branch, College Park, MD 20740, United States; Global Science & Technology Inc., Greenbelt, MD 20770, United States
推荐引用方式 GB/T 7714	Wang Y.,Lee Z.,Wei J.,et al. Extending satellite ocean color remote sensing to the near-blue ultraviolet bands[J],2021,253.
APA	Wang Y.,Lee Z.,Wei J.,Shang S.,Wang M.,&Lai W..(2021).Extending satellite ocean color remote sensing to the near-blue ultraviolet bands.Remote Sensing of Environment,253.
MLA	Wang Y.,et al."Extending satellite ocean color remote sensing to the near-blue ultraviolet bands".Remote Sensing of Environment 253(2021).