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DOI10.1016/j.rse.2019.111601
Statistical evaluation of satellite ocean color data retrievals
Mikelsons K.; Wang M.; Jiang L.
发表日期2020
ISSN00344257
卷号237
英文摘要We develop a statistical approach to evaluate the performance of the ocean color data processing system for satellite-derived ocean color data products based on temporal stability of retrievals. We use the Multi-Sensor Level-1 to Level-2 (MSL12) ocean color data processing system to obtain the normalized water-leaving reflectance ρwN(λ) spectra from the Visible Infrared Imaging Radiometer Suite (VIIRS) measurements. The deviations of ρwN(λ) spectra from temporally and spatially averaged values are investigated, and the statistics with respect to various retrieval parameters are collected, including the solar-sensor geometry (solar-zenith, sensor-zenith, and relative azimuth angles), and various ancillary data (surface wind speed, surface atmospheric pressure, water vapor amount, and ozone concentration). The performance of MSL12 is also evaluated with respect to other intermediate retrieval parameters. The study shows that MSL12 produces statistically consistent VIIRS ocean color retrievals in the global open ocean, with respect to retrieval geometry parameters, as well as the ancillary inputs. © 2019 Elsevier Inc.
英文关键词Atmospheric correction; Data processing; Ocean color remote sensing; VIIRS
语种英语
scopus关键词Atmospheric pressure; Color; Data processing; Oceanography; Remote sensing; Thermography (imaging); Wind; Atmospheric corrections; Data processing systems; Ocean color remote sensing; Relative azimuth angle; Statistical evaluation; VIIRS; Visible infrared imaging radiometer suites; Water-leaving reflectance; Data handling; atmospheric correction; data processing; geometry; ocean color; remote sensing; satellite data; spectral reflectance; statistical analysis; VIIRS
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/179501
作者单位NOAA National Environmental Satellite, Data, and Information Service, Center for Satellite Applications and Research, E/RA3, 5830 University Research Court, College Park, MD 20740, United States; Global Science and Technology, Inc., Greenbelt, MD 20770, United States; CIRA, Colorado State University, Fort Collins, CO 80523, United States
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Mikelsons K.,Wang M.,Jiang L.. Statistical evaluation of satellite ocean color data retrievals[J],2020,237.
APA Mikelsons K.,Wang M.,&Jiang L..(2020).Statistical evaluation of satellite ocean color data retrievals.Remote Sensing of Environment,237.
MLA Mikelsons K.,et al."Statistical evaluation of satellite ocean color data retrievals".Remote Sensing of Environment 237(2020).
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