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u4py

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  • Michael Rudolf's avatar
    Rudolf, Michael authored
    - Added many more types with typehints
    - Removed unused code
    - This is part of a major overhaul to finish the project
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    u4py

    This repository contains an installable Python module, Jupyter notebooks and scripts for the Umwelt 4.0 project together with HLNUG. The project is about the semi-automatic detection and classification of ground motions in Hessen.

    Installation

    Prerequisites

    Currently supported Python Version: 3.11., due to some packages being not available for 3.12, yet.

    Some scripts use ADAtools by Barra et al. 2017, Tomás et al. 2019 and Navarro et al. 2020. If this functionality is needed, please contact one of the authors for a personal copy of ADAtools.

    Setup

    To install the module you need to use pip together with git:

    pip install git+https://git-ce.rwth-aachen.de/rudolf/u4py

    This automatically installs the module u4py including all prerequisites to your Python environment.

    Documentation

    You can find an automatically generated documentation here.

    Currently, the python module u4py and the scripts are mainly for the analysis of persistent scatterer interferometry data (PSI). The Jupyter notebooks additionally use digital elevation models, height differences and further information.

    References

    • A. Barra, L. Solari, M. Béjar-Pizarro, O. Monserrat, S. Bianchini, G. Herrera, M. Crosetto, R. Sarro, A. G.E., R. Maria Mateos, S. Ligüerzana, C. López, S. Moretti, A Methodology to Detect and Update Active Deformation Areas Based on Sentinel-1 SAR Images , Remote Sensing, Vol. 9, No. 10, September 2017.

    • R. Tomás, J. Ignacio Pagán, J. A. Navarro, M. Cano, J. Luis Pastor, A. Riquelme, M. Cuevas-González, M. Crosetto, A. Barra, O. Monserrat, J. M. López-Sánchez, A. Ramón, S. Iborra, M. del Soldato, L. Solari, S. Bianchini, F. Raspini, F. Novali, A. Ferreti, M. Constantini, F. Trillo, G. Herrera, N. Casagli, Semi-Automatic Identification and Pre-Screening of Geological-Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets , Remote Sensing, Vol. 11, No. 14, July 2019.

    • J. A. Navarro, R. Tomás, A, Barra, J. I. Pagán, C. Reyes-Carmona, L. Solari, J. L.Vinielles, S. Falco, M. Crosetto, ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps. ISPRS Int. J. Geo-Inf. 2020, 9, 584.