InsarViz 2.0.1

Python package for analysis of (InSar) data cubes

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

Downloading source code

First, download the source code, typically using git:

With a gitlab account:

git clone [e-mail]:deformvis/insarviz.git

• Without a gitlab account:

git clone https://gricad-gitlab.univ-grenoble-alpes.fr/deformvis/insarviz

Setting up the environment

• With Anaconda

We recommend you install the Insarviz tool in a virtual environment. If you have installed the Anaconda distribution, navigate to within the top-level insarviz folder and create a conda environment with the required dependencies, and activate it :

conda env create -f environment.yaml
conda activate insarviz-env

• Without Anaconda

Without Anaconda, create a python virtual environment, activate it and install the required packages using the following commands:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Install according to your usage

Finally, install the Insarviz module. If you do not want to modify the source code, follow the Regular installation instructions. If you would like to be able to modify the code, follow the Developper install instructions.

• Regular installation

Installing Insarviz in a virtual environment, or system-wide, is just a one-line command:

pip install .

• Developper install instructions

If you intend to change the source code, you should install the tool in a editable mode:

pip install -e .

Check your installation

You can check your installation by doing:

ts_viz --help

This should print the help message. If not, your install failed.

Running InsarViz

Simply run InsarViz from the following command line:

ts_viz

Debug

If the install hangs, try updating pip:

python -m pip install --upgrade pip

If you get errors mentioning rasterio, try:

python3
>> import rasterio

If this fails with an error mentioning that rasterio cannot find the libgdal.so.XX, you should try either changing the version of rasterio (in the requirements.txt file) or the gdal version you are using.

InsarViz has rasterio (https://rasterio.readthedocs.io) as dependency. Rasterio depends upon the gdal library and assumes gdal is already installed. We recommend using version 1.2.10 of rasterio which is compatible with gdal 3.4.1 (on linux, use the command gdalinfo –version to figure out which version of gdal you have).

Contact

If you need help or have ideas for further developments, you can contact: [e-mail]