• NDVI: It gets tiles captured by Sentinel-2 and performs atmospheric correction. Then, coumputes NDVI (Normalized Difference Vegetation Index). Finally, it processes the calculated NDVI indexes to compute averages by shape and month.

• Water Consumption: It computes water consumption of crop fields based on temperature and solar irradiance.

Note: These notebooks have been developed using Python3.7 - other Python versions might not work.

1. Install Lithops Serverless Framework

2. Setup local Python virtual environment:

   $ python3.7 -m venv venv
   $ source venv/bin/activate
   $ (venv) pip install -r requirements
   

3. Setup Jupyter notebook kernel.

   $ (venv) ipython kernel install --name "geospatial" --user
   $ (venv) jupyter nbextension enable --py --sys-prefix widgetsnbextension
   $ (venv) jupyter nbextension enable --py --sys-prefix ipyleaflet
   

4. Start local Jupyter Notebook:

   $ (venv) jupyter notebook
   

5. Follow further instructions listed in each notebook.

• Answare:

  • Tonny Velin ([email protected])
  • Pablo David Muñoz ([email protected])
  • Cristina Castillo García
  • Carlos A. Pineda Martínez

• Universitat Rovira i Virgili

  • Aitor Arjona Pérez ([email protected])