earthaccess: Accelerating NASA Earthdata sci through open, collaborative development
summary
A Python library that lets users search, download or stream NASA Earthdata with three lines of code handles NASA auth, CMR catalog queries (about 23,000 datasets), and returns results as files or objects usable by xarray and pandas. It hides cloud/S3 complexity, negotiating per-data-center APIs, and already enables plotting and workflows; roadmap focuses on scaling to thousands–millions of granules with distributed authentication, optimized reads, IO caching, and multi-language SDKs.
AI-written summary · about
chapters (10)
- 0:00earthaccess and NASA Earthdata
- 1:09Why earthaccess was created
- 2:36Challenge of accessing NASA Earthdata
- 8:29NASA cloud migration and API complexity
- 11:01NASA and Openscapes collaboration
- 12:11How earthaccess simplifies access
- 14:01earthaccess in action
- 15:30Adoption and future of earthaccess
- 16:58Reducing complexity in science
- 17:46Q&A
related talks
34mGeoscience Big Data Computing with Python
01h 18mUsing NASA EarthData Cloud & Python to Model Climate Risks
31mOpenDataCube - Petabyte Scale Satellite Imagery Processing in Python
28mNasa Influence on Open Data Projects
40mData-centric exploration using intake, dask, hvplot, and more
18mGeoscience Documentation Made Easy – The Open Source Knowledge Hub
28mPython for Planet Earth: Climate Modeling and Sustainability.. with Drishti Jain
25mEmpowering weather-satellite data users with FOSS: the Pytroll case
