Developed by the European Space Agency (ESA), SNAP is a common software platform that supports the Sentinel missions. It consists of several modules that can be modified and re-used for image processing, modelling and visualization of data from earth observation satellites. SNAP can be utilized not only as a research support tool for Sentinel missions (Sentinel 1, Sentinel 2 and Sentinel 3) but also as a functional outlet for effectively processing large amounts of satellite data, including data from other missions such as Landsat, MODIS and RapidEye in various different formats. The project page of SNAP and the individual toolboxes can be found at http://step.esa.int.
In this article, I want to go through the step-by-step process of configuring your python installation to use the SNAP-Python or “snappy” interface. Doing so will allow you to efficiently analyze large volumes of satellite data by automating image processing tasks using python scripts.

#data-visualization #satellite-imagery #earth-observation