In this webinar you will learn how to use asf_search, a new Python library for search and discovery of synthetic aperture radar (SAR) data, created by NASA's Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC). Available through PyPI and Conda, asf_search simplifies programmatic data discovery and download, allowing users to find and download SAR data with just a few lines of Python. Numerous search types are supported, such as geographic searches, granule searches, and baseline searches. Additionally, downloading data is made simple. We will be looking at common data discovery workflows used within ASF DAAC’s Vertex search and discovery web application, and how those same workflows can be accomplished through Python using asf_search.

ASF DAAC Webinar Resources
Presentation Notebooks: https://github.com/asfadmin/Discovery...

ASF DAAC Website: https://asf.alaska.edu

asf_search
PyPi: https://pypi.org/project/asfsearch/
Conda: https://anaconda.org/condaforge/asf_...
Github: https://github.com/asfadmin/Discovery...
Docs: https://docs.asf.alaska.edu/

Need Help?
ASF Discovery Team on Gitter: https://gitter.im/ASFDiscovery/
Support: [email protected]
Submit your question on the Earthdata Forum: https://forum.earthdata.nasa.gov

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