EZ-InSAR-3: an open-source InSAR environment in Python

In geosciences, geodesy and geotechnical engineering, Interferometric Synthetic Aperture Radar (InSAR) has demonstrated its ability to estimate, at millimetre scale, displacements of the Earth's ground surface. Although open-source SAR/InSAR software packages are robust, they are often not user-friendly, as users must have in-depth knowledge of SAR/InSAR methods, as well as computer skills. In addition, multiples software packages and scripts are often required for a complete workflow, which can make it difficult to meet to FAIR principles and to perform efficient data manipulation/analysis. EZ-InSAR is a versatile, user-friendly and open-source environment for SAR/InSAR computations that is now available in Python. Bridging several renowned open-source SAR/InSAR processors, EZ-InSAR now includes all the tools needed to perform complete SAR/InSAR time-series processing in a single environment. For example, automatic SAR imagery downloading, options for different time-series approaches, and tools for data visualisation and verification are provided. The new structure of EZ-InSAR, which is built with mandatory and optional EZ-InSAR Python modules, has been designed to facilitate community-led bug fixes, updates, testing, and rapid development. Users can now perform complex SAR/InSAR workflows in EZ-InSAR by implementing the toolkit in their Python scripts, by using the EZ-InSAR command line interface or by using EZ-InSAR’s evolved Graphical User Interface. All processing parameters are managed directly in the EZ-InSAR environment to ensure compliance with FAIR principles. The toolkit is also supported by comprehensive documentation. During the PICO session, we will show the use of EZ-InSAR for a complete computation of ground surface displacements at Campi Flegrei Caldera, Italy. This will highlight not only the efficiency of EZ-InSAR for monitoring of geohazards, but also why it is suitable for both new users of satellite Earth Observation data and expert users in SAR/InSAR remote sensing.