An interactive tutorial explaining some of the main concepts behind the data assimilation approach used in the project has been produced in the form of a Jupyter notebook. The notebook contains a combination of Python code and tutorial explanations to show the assimilation of EO data and radiative transfer models to retreive land surface parameters.
A presentation providing context to the tutorial from the ESA Data Assimilation summer school 2016 can be found at the link to the right of this page and a link to the tutorial itself is below. When you click on the link you will be taken to an external site running the Jupyter notebook with a window like that shown below
Click on the link "eoldas_tip_practical.ipynb" and the notebook will run.