Atmospheric correction for hyperspectral ocean color retrieval with application to the Hyperspectral Imager for the Coastal Ocean (HICO)

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dc.contributor.authorIbrahim, Amir
dc.contributor.authorFranz, Bryan
dc.contributor.authorAhmad, Ziauddin
dc.contributor.authorHealy, Richard
dc.contributor.authorKnobelspiesse, Kirk
dc.contributor.authorGao, Bo-Cai
dc.contributor.authorProctor, Chris
dc.contributor.authorZhai, Peng-Wang
dc.date.accessioned2022-06-16T21:20:50Z
dc.date.available2022-06-16T21:20:50Z
dc.date.issued2017-11-27
dc.description.abstractThe classical multi-spectral Atmospheric Correction (AC) algorithm is inadequate for the new generation of spaceborne hyperspectral sensors such as NASA's first hyperspectral Ocean Color Instrument (OCI) onboard the anticipated Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission. The AC process must estimate and remove the atmospheric path radiance contribution due to the Rayleigh scattering by air molecules and scattering by aerosols from the measured top-of-atmosphere (TOA) radiance, compensate for the absorption by atmospheric gases, and correct for reflection and refraction of the air-sea interface. In this work, we present and evaluate an improved AC for hyperspectral sensors developed within NASA's SeaWiFS Data Analysis System software package (SeaDAS). The improvement is based on combining the classical AC approach of multi-spectral capabilities to correct for the atmospheric path radiance, extended to hyperspectral, with a gas correction algorithm to compensate for absorbing gases in the atmosphere, including water vapor. The SeaDAS-hyperspectral version is capable of operationally processing the AC of any hyperspectral airborne or spaceborne sensor. The new algorithm development was evaluated and assessed using the Hyperspectral Imager for Coastal Ocean (HICO) scenes collected at the Marine Optical BuoY (MOBY) site, and other SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and AERosol Robotic NETwork - Ocean Color (AERONET-OC) coastal sites. A hyperspectral vicarious calibration was applied to HICO, showing the validity and consistency of HICO's ocean color products. The hyperspectral AC capability is currently available in SeaDAS to the scientific community at https://oceancolor.gsfc.nasa.gov/.en_US
dc.description.sponsorshipSupport for this work was provided by a NASA Ocean Biology and Biogeochemistry PACE Science Team award.en_US
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0034425717305047?via%3Dihuben_US
dc.format.extent16 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2cv2q-krt5
dc.identifier.citationAmir Ibrahim et al. “Atmospheric correction for hyperspectral ocean color retrieval with application to the Hyperspectral Imager for the Coastal Ocean (HICO)”. Remote Sensing of Environment. Volume 204 (January 2018), Pages 60-75. https://doi.org/10.1016/j.rse.2017.10.041.en_US
dc.identifier.urihttps://doi.org/10.1016/j.rse.2017.10.041
dc.identifier.urihttp://hdl.handle.net/11603/24953
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Physics Department Collection
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleAtmospheric correction for hyperspectral ocean color retrieval with application to the Hyperspectral Imager for the Coastal Ocean (HICO)en_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-4695-5200en_US

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