grstbx

Scientific code and notebooks to visualize and post-process GRS L2A and L2B images

Example

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Please use conda environment

conda activate "name of your conda env"

Python >= 3.9 is recommended, example:

conda create python=3.11 -n grstbx
conda activate grstbx

It is safer to pre-install gdal and pyproj with conda:

conda install -c conda-forge gdal pyproj

Installing

Clone the repository and execute the following command in the local copy:

pip install .

Some example of the forward model:

To generate a new kernel for Jupyter

python -m ipykernel install --user --name=grstbx