Literature DB >> 32747863

Calibration of the DSCOVR EPIC visible and NIR channels using MODIS Terra and Aqua data and EPIC lunar observations.

Igor V Geogdzhayev1, Alexander Marshak2.   

Abstract

The unique position of the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) at the Lagrange 1 point makes an important addition to the data from currently operating low orbit Earth observing instruments. EPIC instrument does not have an onboard calibration facility. One approach to its calibration is to compare EPIC observations to the measurements from polar orbiting radiometers. Moderate Resolution Imaging Spectroradiometer (MODIS) is a natural choice for such comparison due to its well-established calibration record and wide use in remote sensing. We use MODIS Aqua and Terra L1B 1km reflectances to infer calibration coefficients for four EPIC visible and NIR channels: 443 nm, 551 nm, 680 nm and 780 nm. MODIS and EPIC measurements made between June 2015 and June 2016 are employed for comparison. We first identify favorable MODIS pixels with scattering angle matching temporarily collocated EPIC observations. Each EPIC pixel is then spatially collocated to a subset of the favorable MODIS pixels within 25 km radius. Standard deviation of the selected MODIS pixels as well as of the adjacent EPIC pixels is used to find the most homogeneous scenes. These scenes are then used to determine calibration coefficients using a linear regression between EPIC counts/sec and reflectances in the close MODIS spectral channels. We present thus inferred EPIC calibration coefficients and discuss sources of uncertainties. The Lunar EPIC observations are used to calibrate EPIC O2 absorbing channels (688 nm and 764 nm) assuming that there is a small difference between moon reflectances separated by ~10 nm in wavelength provided the calibration factors of the red (680 nm) and near-IR (780 nm) are known from comparison between EPIC and MODIS.

Entities:  

Year:  2018        PMID: 32747863      PMCID: PMC7398356          DOI: 10.5194/amt-11-359-2018

Source DB:  PubMed          Journal:  Atmos Meas Tech        ISSN: 1867-1381            Impact factor:   4.176


  4 in total

1.  Earth Observations from DSCOVR/EPIC Instrument.

Authors:  Alexander Marshak; Jay Herman; Adam Szabo; Karin Blank; Alexander Cede; Simon Carn; Igor Geogdzhayev; Dong Huang; Liang-Kang Huang; Yuri Knyazikhin; Matthew Kowalewski; Nickolay Krotkov; Alexei Lyapustin; Richard McPeters; Omar Torres; Yuekui Yang
Journal:  Bull Am Meteorol Soc       Date:  2018-10-09       Impact factor: 8.766

2.  Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: first results from EPIC/DSCOVR at Lagrange-1 point.

Authors:  Xiaoguang Xu; Jun Wang; Yi Wang; Jing Zeng; Omar Torres; Yuekui Yang; Alexander Marshak; Jeffrey Reid; Steve Miller
Journal:  Geophys Res Lett       Date:  2017-07-10       Impact factor: 4.720

3.  Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: Theoretical basis.

Authors:  Bin Yang; Yuri Knyazikhin; Matti Mõttus; Miina Rautiainen; Pauline Stenberg; Lei Yan; Chi Chen; Kai Yan; Sungho Choi; Taejin Park; Ranga B Myneni
Journal:  Remote Sens Environ       Date:  2017-06-03       Impact factor: 10.164

4.  The spectral invariant approximation within canopy radiative transfer to support the use of the EPIC/DSCOVR oxygen B-band for monitoring vegetation.

Authors:  Alexander Marshak; Yuri Knyazikhin
Journal:  J Quant Spectrosc Radiat Transf       Date:  2017-01-12       Impact factor: 2.468

  4 in total

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