DOI: 10.1002/2013JD020479
论文题名: Automated calibration of the Suomi National Polar-Orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) reflective solar bands
作者: Rausch K. ; Houchin S. ; Cardema J. ; Moy G. ; Haas E. ; De Luccia F.J.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 24 起始页码: 13434
结束页码: 13442
语种: 英语
英文关键词: remote sensing
Scopus关键词: Algorithms
; Infrared imaging
; Instrument errors
; Instruments
; Lunar surface analysis
; Radiometers
; Remote sensing
; Table lookup
; Weather satellites
; Automated calibration
; Environmental data records
; Moderate resolution imaging spectroradiometer
; Polar satellite systems
; Radiometric calibrations
; Reflective solar bands
; Response characteristic
; Visible infrared imaging radiometer suites
; Calibration
; algorithm
; calibration
; chlorophyll
; color
; data set
; error analysis
; instrumentation
; MODIS
; radiometer
; remote sensing
; satellite data
; visible spectrum
英文摘要: Suomi National Polar-Orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) reflective bands are currently calibrated via weekly updates to look-up tables (LUTs) utilized by operational ground processing in the Joint Polar Satellite System Interface Data Processing Segment (IDPS). The parameters in these LUTs must be predicted ahead 2 weeks and cannot adequately track the dynamically varying response characteristics of the instrument. As a result, spurious "predict-ahead" calibration errors of the order of 0.1% or greater are routinely introduced into the calibrated reflectances and radiances produced by IDPS in sensor data records (SDRs). Spurious calibration errors of this magnitude adversely impact the quality of downstream environmental data records (EDRs) derived from VIIRS SDRs such as Ocean Color/Chlorophyll and cause increased striping and band-to-band radiometric calibration uncertainty of SDR products. A novel algorithm that fully automates reflective band calibration has been developed for implementation in IDPS in late 2013. Automating the reflective solar band (RSB) calibration is extremely challenging and represents a significant advancement over the manner in which RSB calibration has traditionally been performed in heritage instruments such as the Moderate Resolution Imaging Spectroradiometer. The automated algorithm applies calibration data almost immediately after their acquisition by the instrument from views of space and on-onboard calibration sources, thereby eliminating the predict-ahead errors associated with the current offline calibration process. This new algorithm, when implemented, will significantly improve the quality of VIIRS reflective band SDRs and consequently the quality of EDRs produced from these SDRs. Key Points S-NPP VIIRS reflective bands are currently calibrated by look-up table updates Current calibration process causes unacceptably great calibration errors Automated calibration will eliminate these process related errors ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63084
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo, CA 90245, United States
Recommended Citation:
Rausch K.,Houchin S.,Cardema J.,et al. Automated calibration of the Suomi National Polar-Orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) reflective solar bands[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(24)