Skip to content

Return to Table of Contents

Creating and Using Conda Environments in OpenSARLab

OpenScienceLab comes with a default base conda environment with a minimum amount of software installed. Users must create their own conda environments to run Jupyter Notebooks or Python scripts.

The following conda environments are by ASF to run the notebooks in our library:

  • rtc_analysis
  • insar_analysis
  • train
  • hydrosar
  • machine learning
  • autorift
  • nisar_se
  • unavco

However, these environments are not pre-built; users must create the desired conda environments. We have provided a notebook to help install conda environments located at the following path: /home/jovyan/conda_environments/Create_OSL_Conda_Environments.ipynb

Here is a live demonstration on how to build the conda environment.

Create Conda Env

Your environment will be ready after running the last cell.

NB: It may take a while to generate your conda environment.