how_this_notebook_works.md

How this notebook works

You are currently in an envrionment set up for this training course. It comes pre-installed with Python 3.6, Pyeo - our satellite image processing library - and some example inputs. Any files your create or download will persist for the training course. If you would like to keep any past this, please contact an instructor. You can create new Python3 notebooks from the previous screen, in the top-right corner.

How to use an Jupyter notebook

A notebook is a way of running small snippets of a programming language. Each notebook is divided into 'cells'; when run, these cells will show any output underneath. A change made in one cell affects the entire notebook; for example, if you say x=5 in one cell, x will be 5 in all cells run after that.

To run a cell, either click the 'run' button at the top of the notebook or press 'ctrl' and 'enter'.

Existing files

stub.ipynb

This is the abslute minimum you will need to access Pyeo. Please feel free to build on or copy this notebook as required.

kinangop.ini

This is an example .ini file for rolling_s2_composite_change _detection. It contains:

• The credentials you will use for querying and downloading images from ESA's servers
• The date ranges (in yyyymmdd) for the initial base layer and set of changes you want to run
• The maximum amount of cloud cover (according to ESA) that each image can have
• The paths on your machine to the working folder, model, .json file, log and Sen2Cor directory.

kinangop_rough.json

A geojson file outlineing a forest region in Kinangop, Kenya. You can create these at www.geojson.io or export them from most GIS programs.