Earth Observation Using Python / Special Publications (PDF)
A Practical Programming Guide
(Sprache: Englisch)
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...
Thousands of satellite datasets are freely available online, but scientists need the right tools to efficiently analyze data and...
sofort als Download lieferbar
eBook (pdf)
143.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Earth Observation Using Python / Special Publications (PDF)“
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
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
Autoren-Porträt von Rebekah B. Esmaili
Rebekah Bradley Esmaili, Atmospheric Scientist, Science and Technology Corp. (STC) and NOAA/JPSS, University of Maryland, USA.
Bibliographische Angaben
- Autor: Rebekah B. Esmaili
- 2021, 1. Auflage, 304 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1119606896
- ISBN-13: 9781119606895
- Erscheinungsdatum: 04.08.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 93 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Earth Observation Using Python / Special Publications"
Schreiben Sie einen Kommentar zu "Earth Observation Using Python / Special Publications".
Kommentar verfassen