Radiant Earth Foundation is hosting an international expert workshop to discuss how best to use machine learning (ML) techniques on NASA’s Earth Observation (EO) data and address environmental challenges. In particular, generation and usage of training datasets for ML applications using EO will be discussed. Participants of the workshop will evaluate recent advancements, identify existing obstacles and develop a best practices guideline to enhance the adoption of these techniques.   

This workshop is sponsored by the NASA Earth Science Data Systems (ESDS) program.

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Wednesday, January 22 • 11:00am - 12:30pm
Lightning Presentations (4)

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Participants presentations.

avatar for Murali Gumma

Murali Gumma

Head – Remote Sensing / GIS Lab, ISD, ICRISAT
Murali Gumma leads the RS-GIS unit, and conducts research in spatial aspects of agricultural research providing spatial dimension to almost all the components of agriculture. Prior to this he was a Remote Sensing Specialist and Post-doctoral fellow at IRRI. Before that he was a project... Read More →

Tasso Azevedo

General Coordinator, MapBiomas

Christopher Brown

Engineer, Google

Brookie Guzder-Williams

Director of Data Science, World Resources Institute
avatar for Konrad Wessels

Konrad Wessels

Assistant Professor, George Mason University
Remote Sensing expert.
avatar for Caleb Robinson

Caleb Robinson

PhD Student, Georgia Institute of Technology
avatar for Lewis Fishgold

Lewis Fishgold

Software Engineer, Azavea
I am a software engineer at Azavea where I build tools for applying machine learning to geospatial imagery such as Raster Vision (https://github.com/azavea/raster-vision), and develop custom solutions using these tools for a variety of clients.

Wednesday January 22, 2020 11:00am - 12:30pm EST
Cosmos Club (Crentz Room)

Attendees (6)