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Results from the Deep Convective Clouds-Based Response Versus Scan-Angle Characterization for the MODIS Reflective Solar BandsThe Terra and Aqua Moderate-Resolution Imaging Spectroradiometer (MODIS) scan mirror reflectance is a function of the angle of incidence (AOI) and was characterized prior to launch by the instrument vendor. The relative change of the prelaunch response versus scan angle (RVS) is tracked and linearly scaled on-orbit using observations at two AOIs of 11.2° and 50.2° corresponding to the moon view and solar diffuser, respectively. As the missions continue to operate well beyond their design life of six years, the assumption of linear scaling between the two AOIs is known to be inadequate in accurately characterizing the RVS, particularly at short wavelengths. Consequently, an enhanced approach of supplementing the on-board measurements with response trends from desert pseudoinvariant calibration sites (PICS) was formulated in MODIS Collection 6 (C6). An underlying assumption for the continued effectiveness of this approach is the long-term (multiyear) and short-term (month to month) stability of the PICS. Previous work has shown that the deep convective clouds (DCC) can also be used to monitor the onorbit RVS performance with less trend uncertainties compared with desert sites. In this paper, the raw sensor response to the DCC is used to characterize the on-orbit RVS on a band and mirror-side basis. These DCC-based RVS results are compared with those of C6 PICS-based RVS, showing an agreement within 2% observed in most cases. The pros and cons of using a DCC-based RVS approach are also discussed in this paper. Although this reaffirms the efficacy of the C6 PICS-based RVS, the DCC-based RVS approach presents itself as an effective alternative for future considerations. Potential applications of this approach to other instruments, such as Suomi National Polarorbiting Partnership, Joint Polar Satellite Systems, and Visible Infrared Imaging Radiometer Suite, are also discussed.
Document ID
20200002595
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Angal, Amit
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Xiong, Xiaoxiong
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Mu, Qiaozhen
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Doelling, David R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Bhatt, Rajendra
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Wu, Aisheng
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Date Acquired
April 17, 2020
Publication Date
March 2, 2018
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Publisher: IEEE
Volume: 56
Issue: 2
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NF1676L-30613
Report Number: NF1676L-30613
Distribution Limits
Public
Copyright
Other

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