Raw EPIC Data Calibration

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dc.contributor.authorCede, Alexander
dc.contributor.authorHuang, Liang Kang
dc.contributor.authorMcCauley, Gavin
dc.contributor.authorHerman, Jay
dc.contributor.authorBlank, Karin
dc.contributor.authorKowalewski, Matthew
dc.contributor.authorMarshak, Alexander
dc.date.accessioned2023-03-23T18:20:56Z
dc.date.available2023-03-23T18:20:56Z
dc.date.issued2021-07-09
dc.description.abstractEarth Polychromatic Imaging Camera (EPIC) raw level-0 (L0) data in one channel is a 12-bit 2,048 × 2,048 pixels image array plus auxiliary data such as telemetry, temperature, etc. The EPIC L1a processor applies a series of correction steps on the L0 data to convert them into corrected count rates (level-1a or L1a data): Dark correction, Enhanced pixel detection, Read wave correction, Latency correction, Non-linearity correction, Temperature correction, Conversion to count rates, Flat fielding, and Stray light correction. L1a images should have all instrumental effects removed and only need to be multiplied by one single number for each wavelength to convert counts to radiances, which are the basis for all higher-level EPIC products, such as ozone and sulfur dioxide total column amounts, vegetation index, cloud, aerosol, ocean surface, and vegetation properties, etc. This paper gives an overview of the mathematics and the pre-launch and on-orbit calibration behind each correction step.en_US
dc.description.sponsorshipThe work was supported through different grants by the NASA DSCOVR program managed by R. S. Eckman, specifically grants NNX15AB57G, NNX15AN07G, NNX17AC97G, 80NSSC18K0992, and 80NSSC19K0769.en_US
dc.description.urihttps://www.frontiersin.org/articles/10.3389/frsen.2021.702275/fullen_US
dc.format.extent18 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2vats-oiup
dc.identifier.citationCede A, Kang Huang L, McCauley G, Herman J, Blank K, Kowalewski M and Marshak A (2021) Raw EPIC Data Calibration. Front. Remote Sens. 2:702275. doi: 10.3389/frsen.2021.702275en_US
dc.identifier.urihttps://doi.org/10.3389/frsen.2021.702275
dc.identifier.urihttp://hdl.handle.net/11603/27084
dc.language.isoen_USen_US
dc.publisherFrontiersen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
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.titleRaw EPIC Data Calibrationen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-9146-1632en_US

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