Tyler A. Erickson - Analyzing Petabytes of Earth Science Data with Jupyter and Earth Engine
3,206 views · Published 21 December 2017 · 39:50 · Indexed 21 September 2026
Channel: PyData · 2017 · Science & Technology
PyData New York City 2017 Slides: g.co/earth/PyDataNYC2017 Satellites have been observing the Earth for over 40 years, generating petabytes of geospatial observations. Analysis of these data can be complex, and there is a need for reproducible workflows for developing, sharing, and improving upon existing geospatial analysis. In this session we will present a system for presenting such an analysis, using Jupyter, IPyLeafet, and Google Earth Engine. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
More from this channel
-
24:46
Dino Viehland & Raymond Laghaeian: Jupyter Notebooks and ML Model Operationalization
-
34:32
Scott Sanderson: Developing an Expression Language for Quantitative Financial Modeling
-
38:29
Simon Byrne - Julia for data analysis
-
49:10
Rui Miguel Forte - The CV: A Data Scientist's View
-
50:23
PyData London 2016 Lightning Talks and Closing Address
-
35:34
Frank Kaufer - Building a polyglot Data Science Platform on Big Data systems
-
33:19
Josh Yudaken | Building domain specific databases using Python for prototypes during take off
-
38:04
Peter Wang | Keynote: Python for Pythonistas