The first chapter contains notebooks that document the data retrieval process from the Copernicus Open Access Hub.
It explains how to use the
sentinelsat library to interact with the HTTP API: How to retrieve data for any area of interest with the aide of open map data from OpenStreetMap and
geopandas and how to download it. It then goes on to show how to use
numpy to read and process the downloaded data and
matplotlib to visualize it.
The Sentinel-2 mission is a part of the Copernicus Earth observation program, which provides open earth observation data to anyone. Sentinel-2 is a group of satellites that capture electromagnetic radiation. A part of this is visible light, so it can be used to create detailed satellite maps, but a large part of the captured data is invisible. It can be used to infer information on all kinds of ground-level phenomena where other data sources are scarce.
This chapter will detail how to retrieve, interpret and manipulate this data, and ends with a notebook that can create a true color image using recent satellite data for any area.