Suomi NPP VIIRS DNB and RSB M bands detector-to-detector and HAM side calibration differences assessment using a homogenous ground target

被引:4
作者
Chen, Xuexia [1 ]
Lei, Ning [1 ]
Xiong, Xiaoxiong [2 ]
机构
[1] Sci Syst & Applicat Inc, Lanham, MD 20706 USA
[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20661 USA
来源
EARTH OBSERVING SYSTEMS XXIII | 2018年 / 10764卷
关键词
S-NPP VIIRS; Day-Night band; Moderate resolution bands; detector calibration difference; HAM; Libya; 4; PERFORMANCE; IMAGERY;
D O I
10.1117/12.2322153
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Near-nadir observations of the Libya 4 site from the S-NPP VIIRS Day-Night Band (DNB) and Moderate resolution Bands (M bands) are used to assess the detector calibration stability and half-angle mirror (HAM) side differences. Almost seven years of Sensor Data Records products are extracted from the Libya 4 site center over an area of 32 x32 pixels. The mean values of the radiance from individual detectors per HAM side are computed separately. The comparison of the normalized radiance between detectors indicates that the detector calibration differences are wavelength dependent and the differences have been slowly increasing with time for short wavelength bands, especially for M1-M4. The maximum annual average differences between DNB detectors are 0.77% in 2017 at HAM-A. For the M bands, the maximum detector differences in 2017 are 1.7% for Ml, 1.8% for M2, 1.3% for M3, 1.2% for M4, 0.67% for M5, 0.75% for M7, 0.57% for M8, 13% for M9, 0.63% for M10, and 0.66% for M11. The average HAM side A to B difference in 2017 are 0.00% for DNB, 0.22% for Ml, 0.17% for M2, 0.15% for M3, 0.09% for M4, -0.07% for M5, 0.02% for M7, 0.01% for M8, 1.4% for M9, 0.01% for M10, and 0.03% for M11. Results for M6 are not available due to the signal saturation and M9 results are not accurate because of the low reflectance from the desert site and the strong atmospheric absorption in this channel. The results in this study help scientists better understand each detector's performance and HAM side characteristics. Additionally, they provide evidence and motivation for future VIIRS calibration improvements.
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页数:15
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共 27 条
  • [1] Assessment of the MODIS RSB detector differences using Earth-View targets
    Angal, Amit
    Sun, Junqiang
    Geng, Xu
    Chu, Mike
    Xiong, Xiaoxiong
    [J]. EARTH OBSERVING SYSTEMS XVIII, 2013, 8866
  • [2] Using the Sonoran and Libyan Desert test sites to monitor the temporal stability of reflective solar bands for Landsat 7 enhanced thematic mapper plus and Terra moderate resolution imaging spectroradiometer sensors
    Angal, Amit
    Xiong, Xiaoxiong
    Choi, Tae-young
    Chander, Gyanesh
    Wu, Aisheng
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2010, 4
  • [3] [Anonymous], 142 NOAA NESDIS
  • [4] Barrett E.C., 1991, REMOTE SENSING HAZAR
  • [5] Barrie J. D., 2012, P SPIE, V8510
  • [6] Adaptive Reduction of Striping for Improved Sea Surface Temperature Imagery from Suomi National Polar-Orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS)
    Bouali, Marouan
    Ignatov, Alexander
    [J]. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2014, 31 (01) : 150 - 163
  • [7] Butler J., 2009, IGARSS
  • [8] Early On-Orbit Performance of the Visible Infrared Imaging Radiometer Suite Onboard the Suomi National Polar-Orbiting Partnership (S-NPP) Satellite
    Cao, Changyong
    De Luccia, Frank J.
    Xiong, Xiaoxiong
    Wolfe, Robert
    Weng, Fuzhong
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (02): : 1142 - 1156
  • [9] Chang T., 2016, IEEE T GEOSCIENCE RE, V54
  • [10] Assessment of MODIS RSB detector uniformity using deep convective clouds
    Chang, Tiejun
    Xiong, Xiaoxiong
    Angal, Amit
    Mu, Qiaozhen
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 121 (09) : 4783 - 4796