January 4, 2020

235 words 2 mins read

Using Jupyter to create a community for satellite imagery analysis and sharing

Using Jupyter to create a community for satellite imagery analysis and sharing

Satellite imagery can be a critical resource during disasters and humanitarian crises. While the community has improved data sharing, we still struggle to create reusable data science to solve problems on the ground. Sean Gorman offers an overview of GBDX Notebooks, a step toward creating an open data science community built around Jupyter to stream imagery and share analysis at scale.
Talk Title Using Jupyter to create a community for satellite imagery analysis and sharing
Speakers Sean Gorman (DigitalGlobe)
Conference JupyterCon in New York 2018
Conf Tag The Official Jupyter Conference
Location New York, New York
Date August 22-24, 2018
URL Talk Page
Slides Talk Slides
Video

Satellite imagery can be a critical resource during disasters and humanitarian crises. While the community has improved data sharing, we still struggle to create reusable data science to solve problems on the ground. Sean Gorman offers an overview of GBDX Notebooks, a step toward creating an open data science community built around Jupyter to stream imagery and share analysis at scale. Sean explains how the GBDX team leveraged and extended Jupyter to create a platform for satellite imagery analysis and community collaboration and how they created buy-in for Jupyter and facilitated open source work along with contributions in a corporate/proprietary setting. Sean then shares lessons learned and provides a template for how Jupyter can be leveraged to create unique products for both humanitarian and commercial purposes. Topics include:

open data book open source data science jupyter template satellite
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