Matlab Code for Atmospheric Noise Depression through Iterative Stacking (MCANDIS)

MCANDIS is an acronym for Matlab Code for Atmospheric Noise Depression through Iterative Stacking, a method for mitigating the atmospheric noise in InSAR analysis. The basic idea of the method lies in the fact that interferograms sharing a common scene necessarily contain the same contributions from delays in the radar phase due to propagation effects (i.e. atmospheric delays), so stacking these interferograms will enhance the noises from the common scene, while reduce that from the rest, assuming that these noises are random in time. Therefore, it is possible to estimate the atmospheric phase delay on a given scene, by stacking the interferograms that share a common scene, if tectonic deformation cancels out or can be estimated and removed during the stacking. The method was originally proposed by Tymofyeyeva and Fialko (2015). MCANDIS is a Matlab version of this algorithm. Some applications of this code can be found in Wang and Fialko (2018), and Wang and Bürgmann (2020). 

References:

Wang, K., and Y. Fialko (2018), Observations and modeling ofcoseismic and postseismicdeformation due to the 2015 Mw7.8 Gorkha (Nepal) earthquake. Journal of Geophysical Research:Solid Earth, 123, 761–779.

Wang, K. and R. Bürgmann (2020), Probing fault frictional properties during afterslip up- and downdip of the 2017 Mw 7.3 Sarpol-e Zahab earthquake with space geodesy, Journal of Geophysical Research:Solid Earth.

Tymofyeyeva, E. and Y. Fialko (2015), Mitigation of atmospheric phase delays in InSAR data, with application to the Eastern California Shear Zone, J. Geophys. Res., 120, 5952-5963.