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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.

Tuesday, January 21 • 9:20am - 10:30am
Morning Plenary - Presentations (1)

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Workshop introductions, objectives and logistics. 

Speakers
avatar for Manil Maskey

Manil Maskey

Program Officer, NASA HQ
avatar for Hamed Alemohammad

Hamed Alemohammad

Chief Data Scientist, Radiant Earth Foundation
avatar for Subit Chakrabarti

Subit Chakrabarti

Data Scientist, Indigo Agriculture
I develop novel spatio-temporal machine learning methods applicable for large-scale earth imagery. I work in the Geoinnovation team at Indigo Agriculture and am the chair of Young Professionals activities in the IEEE Geoscience and Remote Sensing Society.
avatar for Lyndon Estes

Lyndon Estes

Assistant Professor, Clark University
avatar for Pierre Gentine

Pierre Gentine

Associate Professor, Columbia University


Tuesday January 21, 2020 9:20am - 10:30am
Cosmos Club (Crentz Room) 2121 Massachusetts Ave NW, Washington, DC 20008, USA

Attendees (11)