8  Label data demo

This chapter needs testing with real users.

8.1 Overview

This demonstration will show you a few key concepts about label data in MOSAIKS.

8.2 Demonstration code

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

  1. Building and use a MOSAIKS standardized grid

  2. Preparing geographic point labels (latitude and longitude coordinates)

  3. Preparing geographic line labels (e.g. shapefiles)

  4. Preparing geographic polygon labels (e.g. shapefiles)

  5. Preparing raster labels (e.g. GeoTIFFs)

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.

8.3 What’s next?

Now that we have covered the basics of label data, we will move on to the next section, where we will discuss considerations for choosing and processing satellite imagery. This section is not necessary for users who are either a) okay with using the MOSAIKS API to access features, or b) already have experience working with satellite imagery.

Looking forward

In the next part, we will take a look at considerations for choosing and processing satellite imagery.