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
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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.
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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.
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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.