Deconvolution of SNPP VIIRS Solar Diffuser Bidirectional Reflectance Distribution Function On-Orbit Change Factor

被引:1
|
作者
Lei, Ning [1 ]
Xiong, Xiaoxiong [2 ]
机构
[1] Sci Syst & Applicat Inc, Lanham, MD 20706 USA
[2] NASA, Sci & Explorat Directorate, Goddard Space Flight Ctr GSFC, Greenbelt, MD 20771 USA
关键词
Detectors; Wavelength measurement; Sun; Radiometry; Satellite broadcasting; Iterative methods; Indexes; Bidirectional reflectance distribution function (BRDF) change; deconvolution; H-factor; radiometric calibration; reflective solar band (RSB); solar diffuser (SD); Suomi National Polar-orbiting Partnership (SNPP) visible infrared imaging radiometer suite (VIIRS); PERFORMANCE; CALIBRATION; BANDS;
D O I
10.1109/TGRS.2021.3092682
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The earth-observing visible infrared imaging radiometer suite (VIIRS) on the Suomi National Polar-orbiting Partnership (SNPP) satellite regularly calibrates its reflective solar bands (RSBs), primarily through observing an onboard sunlit solar diffuser (SD). The on-orbit change of the value of the SD bidirectional reflectance distribution function (BRDF) is quantified by a numerical factor, called the H-factor, and is determined by the onboard SD stability monitor (SDSM). Because the spectral response function of an SDSM detector spreads in wavelength, the directly measured H-factor is the true H-factor convolved with the spectral response function. To find the true H-factor, we use the traditional direct method and an innovative iterative approach to separately deconvolve the measured H-factor. Our iterative approach relies on two properties of the SDSM detector spectral response function: the central peak width is narrow enough so that the H-factor does not change much over the peak width, and the dominance of the spectral response function's integral with respect to the wavelength over the width. The iterative approach is more accurate, of a smaller noise impact, much more flexible in terms of interpolation and extrapolation of functional values, and faster. We have used deconvolved H-factors to calibrate the NASA SNPP VIIRS RSB Collections 1 and 2 Level-1B products.
引用
收藏
页数:9
相关论文
共 47 条
  • [41] BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION OF THE INFRARED ASTRONOMICAL SATELLITE SOLAR-SHIELD MATERIAL
    HUBBS, JE
    BROOKS, LD
    NOFZIGER, MJ
    BARTELL, FO
    WOLFE, WL
    APPLIED OPTICS, 1982, 21 (18): : 3323 - 3325
  • [42] COMPARISON OF METHODS FOR GENERATION OF ABSOLUTE REFLECTANCE-FACTOR VALUES FOR BIDIRECTIONAL REFLECTANCE-DISTRIBUTION FUNCTION STUDIES
    FENG, XF
    SCHOTT, JR
    GALLAGHER, T
    APPLIED OPTICS, 1993, 32 (07): : 1234 - 1242
  • [43] Dependence of the Bidirectional Reflectance Distribution Function Factor f′ on the Particulate Backscattering Ratio in an Inland Lake
    Zhang, Yu
    Zhang, Lifu
    Huang, Changping
    Cen, Yi
    Tong, Qingxi
    REMOTE SENSING, 2023, 15 (13)
  • [44] Improved grazing angle bidirectional reflectance distribution function model using Rayleigh-Rice polarization factor and adaptive microfacet distribution function
    Ewing, Becca E.
    Butler, Samuel D.
    Marciniak, Michael A.
    OPTICAL ENGINEERING, 2018, 57 (10)
  • [45] The effects of surface roughness on the calculated, spectral, conical-conical reflectance factor as an alternative to the bidirectional reflectance distribution function of bare sea ice
    Lamare, Maxim L.
    Hedley, John D.
    King, Martin D.
    CRYOSPHERE, 2023, 17 (02): : 737 - 751
  • [46] Seasonal change of bidirectional reflectance distribution function in mature Japanese larch forests and their phenology at the foot of Mt. Yatsugatake, central Japan
    Hasegawa, Kouiti
    Izumi, Takeki
    Matsuyama, Hiroshi
    Kajiwara, Koji
    Honda, Yoshiaki
    REMOTE SENSING OF ENVIRONMENT, 2018, 209 : 524 - 539
  • [47] Accuracy evaluation of reflectance, normalized difference vegetation index, and normalized difference water index using corrected unmanned aerial vehicle multispectral images by bidirectional reflectance distribution function and solar irradiance
    Jin, Cheonggil
    Kim, Minji
    Kim, Chansol
    Lee, Yangwon
    Lee, Kyung-Do
    Ryu, Jae-Hyun
    Choi, Chuluong
    JOURNAL OF APPLIED REMOTE SENSING, 2023, 17 (04)