Enter the instrupy directory and follow the installation instructions. Once complete, (while within the conda environment) enter the examples directory and enter "python SAR_example_alt.py".
In another terminal window, enter the multi-instruments-soil-moisture-retrieval directory and install the necessary prerequisites. Then enter "python instrument_interface.py".
You should now have instrupy running on port 5000 and the soil moisture model running on port 8000.
Now in IntelliJ IDEA, open the VASSAR_lib project and run src/test/java/DSHIELD_Science_MOEA.java.
The results should be saved to the src/test/output folder.