A new MODIS Infrared Band Destriping software package is available (Version 1.3) through the NASA International MODIS/AIRS Processing Package (IMAPP). The software removes some of the Aqua and Terra MODIS detector-to-detector and mirror side artifacts that result in striping in infrared band imagery. This algorithm has been shown to have a positive impact on imagery as well as the MODIS cloud mask, cloud phase, cloud top property, atmospheric profiles and sea surface temperature products. It has been running operationally at NASA MODIS Adaptive Processing System (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.
What is new in IMAPP Infrared Destriping Version 1.3:
- New Terra coefficient files, including updates based upon the Terra Safe Hold Event of February 2016,
- A updated run script (run_modis_destripe.csh),
- Users can now set the top level environment variable - DESTRIPE_ROOT - external to the run script, or by editing the run script (see instructions included with the software distribution), and
- Instructions for updating the destriping software within the IMAPP MODIS Direct Broadcast Virtual Machine (DBVM) is included.
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.
The software is supported on CentOS-6 32 and 64 bit Linux machines, and is distributed through the IMAPP website at:
http://cimss.ssec.wisc.edu/imapp/
Algorithm Details
- - 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
- (a) which bands will be destriped
- 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.
An example of the effects of the V1.3 destriping software as executed on two recent MODIS L1B files can be seen in this PDF file: