Sensitivity of Satellite Ocean Color Data to System Vicarious Calibration of the Long Near Infrared Band

被引:5
|
作者
Barnes, Brian B. [1 ]
Hu, Chuanmin [1 ]
Bailey, Sean W. [2 ]
Franz, Bryan A. [2 ]
机构
[1] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA
[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
来源
基金
美国国家航空航天局;
关键词
MODIS/Aqua; ocean color; ocean gyres; SeaWiFS; vicarious calibration;
D O I
10.1109/TGRS.2020.3000475
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
Satellite ocean color missions require accurate system vicarious calibrations (SVC) to retrieve the relatively small remote-sensing reflectance (R-rs, sr(-1)) from the at-sensor radiance. However, the current atmospheric correction and SVC procedures do not include calibration of the "long" near infrared band (NIRL-869 nm for MODIS), partially because earlier studies, based primarily on simulations, indicate that accuracy in the retrieved R-rs is insensitive to moderate changes in the NIRL vicarious gain (g). However, the sensitivity of ocean color data products to g(NIRL) has not been thoroughly examined. Here, we first derive 10 SVC "gain configurations" (vicarious gains for all visible and NIR bands) for MODIS/Aqua using current operational NASA protocols, each time assuming a different g(869). From these, we derive a suite of similar to 1.4E6 unique gain configurations with g(869) ranging from 0.85 to 1.2. All MODIS/A data for 25 locations within each of five ocean gyres were then processed using each of these gain configurations. Resultant time series show substantial variability in dominant R-rs(547) patterns in response to changes in g(869) (and associated gain configurations). Overall, mean R-rs(547) values generally decrease with increasing g(869), while the standard deviations around those means show gyre-specific minima for 0.97 < g(869) < 1.02. Following these sensitivity analyses, we assess the potential to resolve g(869) using such time series, finding g(869) = 1.025 most closely comports with expectations. This approach is broadly applicable to other ocean color sensors, and highlights the importance of rigorous cross-sensor calibration of the NIRL bands, with implications on consistency of mergedsensor data sets.
引用
收藏
页码:2562 / 2578
页数:17
相关论文
共 50 条
  • [1] Vicarious Calibration of the Long Near Infrared Band: Cross-Sensor Differences in Sensitivity
    Barnes, Brian B.
    Bailey, Sean W.
    Hu, Chuanmin
    Franz, Bryan A.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [2] Sources and assumptions for the vicarious calibration of ocean color satellite observations
    Bailey, Sean W.
    Hooker, Stanford B.
    Antoine, David
    Franz, Bryan A.
    Werdell, P. Jeremy
    APPLIED OPTICS, 2008, 47 (12) : 2035 - 2045
  • [3] Vicarious calibration of satellite ocean color sensors at two coastal sites
    Melin, Frederic
    Zibordi, Giuseppe
    APPLIED OPTICS, 2010, 49 (05) : 798 - 810
  • [4] System vicarious calibration for ocean color climate change applications: Requirements for in situ data
    Zibordi, Giuseppe
    Melin, Frederic
    Voss, Kenneth J.
    Johnson, B. Carol
    Franz, Bryan A.
    Kwiatkowska, Ewa
    Huot, Jean-Paul
    Wang, Menghua
    Antoine, David
    REMOTE SENSING OF ENVIRONMENT, 2015, 159 : 361 - 369
  • [5] Sensor-independent approach to the vicarious calibration of satellite ocean color radiometry
    Franz, Bryan A.
    Bailey, Sean W.
    Werdell, P. Jeremy
    McClain, Charles R.
    APPLIED OPTICS, 2007, 46 (22) : 5068 - 5082
  • [6] Vicarious calibration for GLI ocean color channels by ground observation data
    Yoshida, M
    Murakami, H
    Mitomi, Y
    Clark, D
    Fukushima, H
    ACTIVE AND PASSIVE REMOTE SENSING OF THE OCEANS, 2005, 5656 : 1 - 12
  • [7] Vicarious calibration of the Geostationary Ocean Color Imager
    Ahn, Jae-Hyun
    Park, Young-Je
    Kim, Wonkook
    Lee, Boram
    Oh, Im Sang
    OPTICS EXPRESS, 2015, 23 (18): : 23236 - 23258
  • [8] An evaluation of marine regions relevant for ocean color system vicarious calibration
    Zibordi, Giuseppe
    Melin, Frederic
    REMOTE SENSING OF ENVIRONMENT, 2017, 190 : 122 - 136
  • [9] Vicarious calibration of COCTS-HY1C at visible and near-infrared bands for ocean color application
    Song, Qingjun
    Chen, Shuguo
    Xue, Cheng
    Lin, Mingsen
    Du, Keping
    Li, Sicong
    Ma, Chaofei
    Tang, Junwu
    Liu, Jianqiang
    Zhang, Tinglu
    Huang, Xiaoxian
    OPTICS EXPRESS, 2019, 27 (20) : A1615 - A1626
  • [10] Improved near-infrared ocean reflectance correction algorithm for satellite ocean color data processing
    Jiang, Lide
    Wang, Menghua
    OPTICS EXPRESS, 2014, 22 (18): : 21657 - 21678