Learn basic Python programming to create functional and effective
visualizations from earth observation satellite data sets 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. Gain Python fluency using real data and case studies Read
and write common scientific data formats, like 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. Find out more about this book from
this Q&A with the Author
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