Metadata-Version: 2.4
Name: InsarViz
Version: 3.0.2
Summary: Python package for analysis of (InSar) data cubes
Author-email: Marc Coiffier <marc.coiffier@univ-grenoble-alpes.fr>, Colin Thomas <colin.thomas1@univ-grenoble-alpes.fr>, Margaux Mouchené <margaux.mouchene@univ-grenoble-alpes.fr>, Renaud Blanch <renaud.blanch@univ-grenoble-alpes.fr>, Erwan Pathier <erwan.pathier@univ-grenoble-alpes.fr>, Franck Thollard <franck.thollard@univ-grenoble-alpes.fr>
License: GPLv3
Project-URL: Homepage, https://gricad-gitlab.univ-grenoble-alpes.fr/deformvis/insarviz
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.12
Description-Content-Type: text/x-rst
License-File: LICENSE.txt
License-File: AUTHORS.rst
Requires-Dist: PyOpenGL>=3.1.6
Requires-Dist: PySide6<=6.8.1,>=6.8
Requires-Dist: pyqtgraph==0.13.7
Requires-Dist: rasterio>=1.3.10
Requires-Dist: owslib>=0.31
Requires-Dist: xyzservices>=2024.9.0
Requires-Dist: qasync>=0.27.1
Requires-Dist: aiohttp>=3.11.9
Requires-Dist: platformdirs
Dynamic: license-file

########
InsarViz
########

InsarViz is a project dedicated to the visualisation of InSar data. 

The ts_viz app is designed to visualize and interactively analyze time-series (datacubes) from InSAR data processing chains.

The full documentation is available here: 

https://deformvis.gricad-pages.univ-grenoble-alpes.fr/insarviz

Installation
************

Detailed installation instructions can be found `here <doc/installation.rst>`_

How to cite
***********

If you use InsarViz for your project, please consider citing `this paper <https://doi.org/10.21105/joss.06440>`_

Contact
*******
If you need help or have ideas for further developments, you can contact:
insarviz-sos@univ-grenoble-alpes.fr

