Statistical evaluation of satellite ocean color data retrievals
Remote Sensing of Environment, ISSN: 0034-4257, Vol: 237, Page: 111601
2020
- 34Citations
- 26Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
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 ρ wN ( λ ) spectra from the Visible Infrared Imaging Radiometer Suite (VIIRS) measurements. The deviations of ρ wN ( 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.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0034425719306212; http://dx.doi.org/10.1016/j.rse.2019.111601; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85076832881&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0034425719306212; https://api.elsevier.com/content/article/PII:S0034425719306212?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0034425719306212?httpAccept=text/plain; https://dul.usage.elsevier.com/doi/; https://dx.doi.org/10.1016/j.rse.2019.111601
Elsevier BV
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