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DOI	10.1016/j.jag.2018.10.010
	Revisiting effectiveness of turbidity index for the switching scheme of NIR-SWIR combined ocean color atmospheric correction algorithm
	Liu H.; Hu S.; Zhou Q.; Li Q.; Wu G.
发表日期	2019
ISSN	15698432
起始页码	1
结束页码	9
卷号	76
英文摘要	Accurately removing atmospheric interferences and retrieving water-leaving reflectance are decisive for subsequent ocean color applications. Over turbid waters, the black pixel assumption at the near-infrared (NIR) spectral region does not hold, and shortwave infrared (SWIR)-based atmospheric correction algorithm should be applied. Turbidity index is proposed to detect turbid waters and worked as a criterion for NIR-SWIR combined algorithm. However, studies demonstrated that turbidity index did not work well as expected. This study, using simulated data and satellite images, aimed to revisit the effectiveness of turbidity index for the switching scheme of NIR-SWIR algorithm. The simulated data were obtained from aerosol look-up tables, and the Aqua MODIS images were used. The variations of turbidity index calculated from aerosol reflectance and Rayleigh-corrected reflectance were explored. Results showed that turbidity index did not obey the assumption that it should be close to one over clear waters with negligible NIR water-leaving reflectance; its value calculated from simulated aerosol reflectance ranged from 0.7 to 2.2; and the turbidity index values varied depending on fine-mode fraction, aerosol optical thickness, relative humidity and observing geometries. Therefore, more effective switching scheme should be developed for the NIR-SWIR combined atmospheric correction algorithm. © 2018
英文关键词	aerosol lookup tables; atmospheric correction; NIR-SWIR; ocean color remote sensing; Turbidity index
语种	英语
scopus关键词	aerosol; algorithm; atmospheric correction; MODIS; near infrared; ocean color; remote sensing; satellite imagery; turbidity
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156513
作者单位	Department of Geography, Hong Kong Baptist University, Kowloon, Hong Kong, Hong Kong; Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities & Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, 518060, China; College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China
推荐引用方式 GB/T 7714	Liu H.,Hu S.,Zhou Q.,et al. Revisiting effectiveness of turbidity index for the switching scheme of NIR-SWIR combined ocean color atmospheric correction algorithm[J],2019,76.
APA	Liu H.,Hu S.,Zhou Q.,Li Q.,&Wu G..(2019).Revisiting effectiveness of turbidity index for the switching scheme of NIR-SWIR combined ocean color atmospheric correction algorithm.International Journal of Applied Earth Observation and Geoinformation,76.
MLA	Liu H.,et al."Revisiting effectiveness of turbidity index for the switching scheme of NIR-SWIR combined ocean color atmospheric correction algorithm".International Journal of Applied Earth Observation and Geoinformation 76(2019).