Earth Observation Using Python. A Practical Programming Guide
Esmaili, Rebekah B.
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
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