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.

Volume highlights Include:

• Gain Python fluency using real data and case studies
• Read and write common scientific data formats, such as netCDF, HDF, and GRIB2
• Create 3-dimensional maps of dust, fire, vegetation indices and more
• Learn to adjust satellite imagery resolution, apply quality control, and handle big files
• Develop useful workflows and learn to share code using version control
• Acquire skills using online interactive code available for all examples in the book

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.