MasTer: A Full Automatic Multi-Satellite InSAR Mass Processing Tool for Rapid Incremental 2D Ground Deformation Time Series

Abstract

Taking advantage of the ever-increasing amount of available SAR data requires adapted processing infrastructures. We present here the InSAR Mass processing Toolbox for Multidimensional time series (MasTer), which can combine any type of SAR data to produce unsupervised vertical and horizontal ground deformation time series. MasTer is optimized to automatically download SAR data, select the appropriate interferometric pairs, perform the interferometric mass processing, compute the geocoded deformation maps, invert and display the velocity maps and the 2D time series on a web page updated incrementally as soon as a new image is made available. MasTer also allows the production of time series of coherences or SAR amplitude images, which can be used e.g. for land use monitoring or geomorphological changes detection. The capabilities and performances of MasTer are illustrated with several examples. Software and manual are available on request to authors. To MasTer the art of InSAR mass processing.

Intra‐Crater Eruption Dynamics at Nyiragongo (D.R. Congo), 2002–2021

“…The SAR‐based technique SAsha (standing for SAR shadows analysis) has been developed for detecting changes in Nyiragongo's crater topography on a sub‐weekly basis. The core product of the SAsha method is the length of SAR shadows computed along the range direction from SAR amplitude images, which are pre‐processed with the C/C++/shell‐based tool MasTer (InSAR automated Mass processing Toolbox for multidimensional Time series; e.g., Derauw et al., 2020; d'Oreye et al., 2021). For each SAR data set (i.e., same SAR sensor in same geometry), the two key processing steps are (1) denoising the raw amplitude images and (2) converting shadow lengths into height changes.…”

Pair Selection Optimization for InSAR Time Series Processing

“…(2020) and d’Oreye et al. (2021) for a detailed overview of the possibilities offered by MasTer. See also Text S2 in Supporting Information S1 for possible strategies when implementing the proposed optimization in an automatic mass processing chain.…”

“…Here, we use Mass processing Toolbox for Multidimensional time series (MasTer) toolbox, which is a fully automatic, unsupervised processing chain (Derauw et al., 2020; d’Oreye et al., 2021) based on the multidimensional small baseline subset (MSBAS) method (Samsonov et al., 2020; Samsonov & d’Oreye, 2012, 2017; Samsonov et al., 2017), which is a 2D/3D extension of the SBAS method. Thanks to a set of shell scripts, MasTer allows the automation from the Single Look Complex (SLC) images download up to the 2D decomposition of ground deformation time series (vertical and horizontal).…”

Precursor-free eruption triggered by edifice rupture at Nyiragongo volcano

“…4) was computed with COSMO-SkyMed (CSK) Stripmap images acquired in the X-band (3.1 cm wavelength) one day before the eruption (21 May 2021 at 15:37 UTC) and less than an hour before the eruption (22 May 2021 at 15:37 UTC) along a descending orbit. The interferogram, which has a perpendicular baseline of around −376 m, was computed using MasTer 53,54 . Images were multilooked two times in range and azimuth.…”

“…The eruptive fissures were mapped in detail using the Planetscope 46 images and the very-high-resolution orthophotograph produced. The ground fissures were mapped from S1 and CSK co-and post-eruptive wrapped interferograms computed with MasTer 53,54 .…”