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Remote Sens. 2017, 9(6), 535; doi:10.3390/rs9060535

Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands

1
Science Systems and Applications, Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA
2
Sciences and Exploration Directorate, NASA/GSFC, Greenbelt, MD 20771, USA
3
NASA Langley Research Center, 21 Langley Blvd. MS 420, Hampton, VA 23681, USA
4
Science Systems and Applications Inc., 1 Enterprise Pkwy, Suite 200, Hampton, VA 23666, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Dongdong Wang, Richard Müller and Prasad S. Thenkabail
Received: 2 March 2017 / Revised: 19 May 2017 / Accepted: 24 May 2017 / Published: 27 May 2017
View Full-Text   |   Download PDF [3169 KB, uploaded 27 May 2017]   |  

Abstract

MODIS 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-µm band. We optimize several critical DCCT parameters including the 11-µm 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. View Full-Text
Keywords: Terra; Aqua; MODIS; calibration; reflective solar band (RSB); deep convective cloud (DCC); deep convective cloud technique (DCCT); probability distribution function (PDF); mode reflectance; Bidirectional Reflectance Distribution Function (BRDF); stability; uncertainty Terra; Aqua; MODIS; calibration; reflective solar band (RSB); deep convective cloud (DCC); deep convective cloud technique (DCCT); probability distribution function (PDF); mode reflectance; Bidirectional Reflectance Distribution Function (BRDF); stability; uncertainty
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Mu, Q.; Wu, A.; Xiong, X.; Doelling, D.R.; Angal, A.; Chang, T.; Bhatt, R. Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands. Remote Sens. 2017, 9, 535.

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