Metadata-Version: 2.1
Name: multidefusion
Version: 0.1
Summary: Perform data fusion and analysis of the ground deformations for multiple stations.
Home-page: https://github.com/damiantondas/multidefusion
Author: Damian Tondas
Author-email: damian.tondas@gmail.com
License: MIT license
Keywords: multidefusion
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: numpy>=1.24.4
Requires-Dist: pandas>=2.0.3
Requires-Dist: scipy>=1.10.1
Requires-Dist: plotly>=5.20.0
Requires-Dist: dash>=2.16.1

# Welcome to MultiDEFusion


[![image](https://img.shields.io/pypi/v/multidefusion.svg)](https://pypi.python.org/pypi/multidefusion)
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**MultiDEFusion** is an open-source library that enables the **Fusion** of **Multi** geodetic techniques ensuring long-term observations of ground **DEF**ormation. The software provides integration of permanent GNSS data and radar InSAR observations, considering a particular computational method such as DInSAR, SBAS and PSI.

The MultiDEFusion library expands on the approach to integrating geodetic observations outlined in the article published by [TondaĹ› et al., 2023](https://doi.org/10.1007/s00190-023-01789-z). The software documentation can be found at <https://damiantondas.github.io/multidefusion> (Free software: MIT license).

If you find the MultiDEFusion program useful, please cite it in your work as: *TondaĹ› D., Ilieva M., van Leijen F., van der Marel H., Rohm W. Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations. Journal of Geodesy, 97, 109 (2023). DOI: [10.1007/s00190-023-01789-z](https://doi.org/10.1007/s00190-023-01789-z)*
