Operational In-Flight Calibration of S-NPP VIIRS in the Visible Using Rayleigh Scattering

被引:4
|
作者
Frouin, Robert [1 ]
Sei, Alain [2 ]
Hauss, Bruce [3 ]
Pratt, Patty [2 ]
机构
[1] UCSD, SIO, Climate Atmospher Sci & Phys Oceanog Div, 9500 Gilman Dr, La Jolla, CA 92093 USA
[2] Northrop Grumman Aerosp Syst, Redondo Beach, CA USA
[3] DKK Inc, Ruston, LA USA
来源
EARTH OBSERVING SYSTEMS XIX | 2014年 / 9218卷
基金
美国国家航空航天局;
关键词
Radiometric calibration; Ocean-color remote sensing; S-NPP VIIRS; ATMOSPHERIC CORRECTION; OCEAN; EQUATION;
D O I
10.1117/12.2069433
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The Rayleigh scattering approach to absolute radiometric calibration of satellite optical sensors is investigated for SNPP VIIRS. The vicarious calibration coefficients are obtained by comparing measured and predicted top-of-atmosphere (TOA) reflectance sampled under "favorable" scene conditions, i.e., oceanic areas with stable water optical properties, where situations of clear sky, low wind speed, and low aerosol content are frequent. In such situations, and under suitable geometry, the dominant contribution to the satellite signal in the visible is due to molecular (Rayleigh) scattering, which can be computed accurately. A sensitivity study performed for suitable calibration sites indicates that, using thresholds of 7 m/s for wind speed, 0.1 for aerosol optical thickness, 0.0005 for Sun glint reflectance, and 60 degrees for Sun and view zenith angles, the error on the TOA reflectance is 2.3% at 410.5 nm (M1), increasing to 4.5% at 671.4 nm (M5). The error budget is dominated by the effect of uncertainty on aerosol optical thickness at the longer wavelengths and on marine reflectance at the shorter wavelengths. Two methods are developed to compute the VIIRS reflectance. The first method (Method 1) consists in using for the region of interest environmental conditions obtained from ancillary data or climatology. The second method (Method 2) addresses the uncertainty in aerosol model and optical thickness by accounting for the aerosol content of the scene. Application of Method 1 to VIIRS data yields calibration coefficients that are site and air mass dependent, which is not satisfactory. This results from using climatology data to specify aerosol parameters. Method 2, which utilizes the measured VIIRS reflectance in the near infrared to estimate the aerosol reflectance, reduces substantially the site and angular geometry dependence of the calibration coefficients. Accuracy can be improved by better specifying the marine reflectance, estimating the aerosol model, and further stratifying the calibration data. The large number of realizations allows for absolute calibration of individual detectors, studies of angular dependence, linearity, and polarization sensitivity, which is not possible using vicarious techniques based on (too few) in situ measurements.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] AN OVERVIEW OF S-NPP VIIRS LUNAR CALIBRATION
    Xiong, X.
    Fulbright, J.
    Wang, Z.
    Butler, J.
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 3910 - 3913
  • [2] S-NPP VIIRS CALIBRATION AND PERFORMANCE UPDATE
    Xiong, X.
    Cao, C.
    Wang, Z.
    Lei, N.
    Chiang, K.
    Blonski, S.
    Butler, J.
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 1976 - 1979
  • [3] On-orbit Calibration and Performance of S-NPP VIIRS DNB
    Chen, H.
    Sun, C.
    Chen, X.
    Chiang, K.
    Xiong, X.
    EARTH OBSERVING MISSIONS AND SENSORS: DEVELOPMENT, IMPLEMENTATION, AND CHARACTERIZATION IV, 2016, 9881
  • [4] Prelaunch Radiometric Characterization and Calibration of the S-NPP VIIRS Sensor
    Oudrari, Hassan
    McIntire, Jeff
    Xiong, Xiaoxiong
    Butler, Jim
    Lee, Shihyan
    Lei, Ning
    Schwarting, Tom
    Sun, Junqiang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (04): : 2195 - 2210
  • [5] In-Flight Calibration of GF-1/WFV Visible Channels Using Rayleigh Scattering
    Chen, Xingfeng
    Xing, Jin
    Liu, Li
    Li, Zhengqiang
    Mei, Xiaodong
    Fu, Qiaoyan
    Xie, Yisong
    Ge, Bangyu
    Li, Kaitao
    Xu, Hua
    REMOTE SENSING, 2017, 9 (06):
  • [6] Evaluation of GSICS Correction for COMS/MI Visible Channel Using S-NPP/VIIRS
    Jin, Donghyun
    Lee, Soobong
    Lee, Seonyoung
    Jung, Daeseong
    Sim, Suyoung
    Huh, Morang
    Han, Kyung-soo
    KOREAN JOURNAL OF REMOTE SENSING, 2021, 37 (01) : 169 - 176
  • [7] Vicarious Calibration of S-NPP/VIIRS Day-Night Band
    Shao, Xi
    Cao, Changyong
    Uprety, Sirish
    EARTH OBSERVING SYSTEMS XVIII, 2013, 8866
  • [8] S-NPP VIIRS instrument telemetry and calibration data trend study
    Sun, ZiPing
    De Luccia, Frank J.
    Cardema, Jason C.
    Moy, Gabriel
    EARTH OBSERVING SYSTEMS XX, 2015, 9607
  • [9] Assessment of S-NPP VIIRS On-Orbit Radiometric Calibration and Performance
    Xiong, Xiaoxiong
    Butler, James
    Chiang, Kwofu
    Efremova, Boryana
    Fulbright, Jon
    Lei, Ning
    McIntire, Jeff
    Oudrari, Hassan
    Wang, Zhipeng
    Wu, Aisheng
    REMOTE SENSING, 2016, 8 (02):
  • [10] Lunar Calibration and Performance for S-NPP VIIRS Reflective Solar Bands
    Xiong, Xiaoxiong
    Sun, Junqiang
    Fulbright, Jon
    Wang, Zhipeng
    Butler, James J.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (02): : 1052 - 1061