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
  • [41] Mapping of fire level using S-NPP VIIRS as disaster management reference in Banjarbaru City
    Kumalawati, R.
    Dewi, A.
    Danarto, W. P.
    INTERNATIONAL CONFERENCE ON ENVIRONMENTAL MANAGEMENT 2022, 2023, 1180
  • [42] Initial Stability Assessment of S-NPP VIIRS Reflective Solar Band Calibration Using Invariant Desert and Deep Convective Cloud Targets
    Bhatt, Rajendra
    Doelling, David R.
    Wu, Aisheng
    Xiong, Xiaoxiong
    Scarino, Benjamin R.
    Haney, Conor O.
    Gopalan, Arun
    REMOTE SENSING, 2014, 6 (04): : 2809 - 2826
  • [43] Assessments of S-NPP and N20 VIIRS DNB and M bands calibration stability and consistency using a homogeneous ground target
    Li, Sherry C.
    Xiong, Xiaoxiong
    EARTH OBSERVING SYSTEMS XXV, 2020, 11501
  • [44] Suomi NPP VIIRS Reflective Solar Bands Operational Calibration Reprocessing
    Blonski, Slawomir
    Cao, Changyong
    REMOTE SENSING, 2015, 7 (12): : 16131 - 16149
  • [45] Single Scattering Albedo of High Loading Aerosol Estimated Across East Asia From S-NPP VIIRS
    Bao, Fangwen
    Cheng, Tianhai
    Li, Ying
    Shi, Shuaiyi
    Guo, Hong
    Wu, Yu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [46] Radiometric Inter-Calibration between Himawari-8 AHI and S-NPP VIIRS for the Solar Reflective Bands
    Yu, Fangfang
    Wu, Xiangqian
    REMOTE SENSING, 2016, 8 (03)
  • [47] Validation of S-NPP VIIRS Sea Surface Temperature Retrieved from NAVO
    Tu, Qianguang
    Pan, Delu
    Hao, Zengzhou
    REMOTE SENSING, 2015, 7 (12): : 17234 - 17245
  • [48] The S-NPP VIIRS Day-Night Band On-Orbit Calibration/Characterization and Current State of SDR Products
    Lee, Shihyan
    Chiang, Kwofu
    Xiong, Xiaoxiong
    Sun, Chengbo
    Anderson, Samuel
    REMOTE SENSING, 2014, 6 (12): : 12427 - 12446
  • [49] Performance Assessments and Comparisons of S-NPP and NOAA-20 (JPSS-1) VIIRS On-orbit Calibration
    Xiong, Xiaoxiong
    Angal, Amit
    Butler, James
    Chen, Hongda
    Chiang, Kwofu
    Lei, Ning
    Li, Yonghong
    Twedt, Kevin
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XXII, 2018, 10785
  • [50] S-NPP and N20 VIIRS RSB bands detector-to-detector calibration differences assessment using a homogeneous ground target
    Li, Sherry
    Xiong, Xiaoxiong
    Lei, Ning
    EARTH OBSERVING SYSTEMS XXV, 2020, 11501