International MODIS/AIRS Processing Package

 MODIS Infrared Band Destriping Software Package v1.3 release     7 November 2016

This algorithm has been shown to have a positive impact on imagery as well as the cloud mask, cloud phase, cloud top property, atmospheric profiles and sea surface temperature products. It has been running operationally at NASA MODAPS prior to implementation of the MODIS atmosphere team science software since 2005. The software includes executables as well as a run script that chooses the best coefficient file to use based upon the satellite platform (Aqua or Terra) and the date/time of the input data.

The software utilizes the algorithm described in:

Weinreb et al., 1989:"Destriping GOES Images by Matching Empirical Distribution Functions". Remote Sens. Environ., 29, 185-195.

Updates were made to the coefficient files and to the main run script. The executables and source code have not changed.

The main change is a new coefficient file for Terra that helps to improve the detector-to-detector consistency in the MODIS infrared bands after the safe hold event that occurred in February 2016. MODIS bands 27-30 were impacted most by this event, and the new Terra .v5 coefficient file reflects this.

• MODIS is treated as a 20 detector instrument in the thermal emissive bands (10 detectors on each mirror side).
• The empirical distribution function (EDF) is computed for each detector (cumulative histogram of relative frequency).
• The EDF for each detector is adjusted to match the EDF of a reference in-family detector.
• Algorithm operates on L1B scaled integers (0-32767).
• Median scaled integer value for each band is restored following destriping.

• Correction LUT is created for each individual granule on the fly.
• Uncorrected scaled integers are replaced with corrected scaled integers.
• Non-functional and very noisy detectors in some bands are replaced with neighbors.
• Requires less than 60 seconds to run for each granule.
• Text configuration file (one each for Terra and Aqua) defines:
• (a) which bands will be destriped
• (b) which detector will be the reference for each band
• (c) which detectors will be replaced for each band

• For most of the thermal infrared bands, the impact is positive. Striping noise is significantly reduced.
• NOTE: The L1B 1KM file is irreversibly changed by this algorithm. It is possible, but complicated, to implement this algorithm in such a way that the destriping is reversible.