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Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar BandsMODIS reflective solar bands are calibrated on-orbit using a solar diffuser and near-monthly lunar observations. To monitor the performance and effectiveness of the on-orbit calibrations, pseudo-invariant targets such as deep convective clouds (DCCs), Libya-4, and Dome-C are used to track the long-term stability of MODIS Level 1B product. However, the current MODIS operational DCC technique (DCCT) simply uses the criteria set for the 0.65- m band. We optimize several critical DCCT parameters including the 11- micrometer IR-band Brightness Temperature (BT11) threshold for DCC identification, DCC core size and uniformity to help locate DCCs at convection centers, data collection time interval, and probability distribution function (PDF) bin increment for each channel. The mode reflectances corresponding to the PDF peaks are utilized as the DCC reflectances. Results show that the BT11 threshold and time interval are most critical for the Short Wave Infrared (SWIR) bands. The Bidirectional Reflectance Distribution Function model is most effective in reducing the DCC anisotropy for the visible channels. The uniformity filters and PDF bin size have minimal impacts on the visible channels and a larger impact on the SWIR bands. The newly optimized DCCT will be used for future evaluation of MODIS on-orbit calibration by MODIS Characterization Support Team.
Document ID
20180000787
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Mu, Qiaozhen
(Science Systems and Applications, Inc. Lanham, MD, United States)
Wu, Aisheng
(Science Systems and Applications, Inc. Lanham, MD, United States)
Xiong, Xiaoxiong
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Doelling, David R.
(NASA Langley Research Center Hampton, VA, United States)
Angal, Amit
(Science Systems and Applications, Inc. Lanham, MD, United States)
Chang, Tiejun
(Science Systems and Applications, Inc. Lanham, MD, United States)
Bhatt, Rajendra
(Science Systems and Applications, Inc. Hampton, VA, United States)
Date Acquired
January 26, 2018
Publication Date
May 27, 2017
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 9
Issue: 6
ISSN: 2072-4292
e-ISSN: 2072-4292
Subject Category
Meteorology And Climatology
Earth Resources And Remote Sensing
Report/Patent Number
NF1676L-30614
GSFC-E-DAA-TN51979
Funding Number(s)
CONTRACT_GRANT: NNG15HQ01C
WBS: 652528.04.01
Distribution Limits
Public
Copyright
Other

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