11  Imagery demo

This chapter is in early draft form and may be incomplete.

11.1 Overview

This demonstration will show you a few key concepts about satellite data and how it can be prepared for featurization (featurization covered in Chapter 14).

11.2 Demonstration data

For this demonstration, we will use satellite imagery from the NICFI Basemaps. The NICFI Basemaps are a collection of high-resolution satellite images that are freely available for research purposes. These data come with atmospheric correction, cloud correction, and normalized pixel values. After Products created after April 2022 also apply a sharpening filter to the images.

More details about NICFI Basemap processing can be found here.

To learn how to access NICFI Basemaps, follow the sign up instructions here.

11.3 Demonstration code

Below is a link to a Jupyter notebook intended to demonstrate practical preparation of satellite data for use in MOSAIKS. The notebook will guide you through the process of preparing imagery, including:

  1. Loading satellite imagery

  2. Inspecting image properties

  3. Image normalization

  4. Image visualization

Click the badge to run the demonstration!

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Open In Colab
Remember to click File -> Save a copy in Drive to save any changes you make.

Or to view a static version of the code on GitHub, click the badge below.

For instructions and tips on using Google Colab, please refer to Chapter 1.

11.4 What’s next?

Now that we have covered the basics of working with satellite data, we will move on to the next section, where we will discuss image featurization.

Looking forward

This is the end of the satellite data section. Next, we will move on to the featurization of satellite data.