Earth Observation using Python: A Practical Programming Guide

Thousands of satellite datasets are freely available online, but scientists need the right tools to efficiently analyze data and share results. Python has easy-to-learn syntax and thousands of libraries to perform common Earth science programming tasks.

Earth Observation Using Python: A Practical Programming Guide presents an example-driven collection of basic methods, applications, and visualizations to process satellite data sets for Earth science research.

1. A Tour of Current Satellite Missions and Products
2. Overview of Python
3. A Deep Dive into Scientific Data Sets
4. Practical Python Syntax
5. Importing Standard Earth Science Datasets
6. Plotting and Graphs for All
7. Creating Effective and Functional Maps
8. Gridding Operations
9. Meaningful Visuals through Data Combination
10. Exporting with Ease
11. Developing a Workflow
12. Reproducible and Shareable Science