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.
<br>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. <br><br> -Gain Python fluency using real data and case studies<br> -Read and write common scientific data formats, like netCDF, HDF, and GRIB2<br> -Create 3-dimensional maps of dust, fire, vegetation indices and more<br> -Learn to adjust satellite imagery resolution, apply quality control, and handle big files<br> -Develop useful workflows and learn to share code using version control<br> - Acquire skills using online interactive code available for all examples in the book<br>
Accès à la notice sur le site du portail documentaire de Météo-France