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Thursday, September 6 • 2:00pm - 3:00pm
Measuring impact with remotely sensed imagery and machine learning

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This session will explore techniques for analyzing free or inexpensive satellite and aerial imagery to monitor economic, agricultural, and environmental programs through the use of machine learning algorithms. The session is for people who are interested in learning about new data sources and analytical methods to complement or augment existing MERL techniques. We will explore the topic through a selection of case studies. Attendees will leave the session with an understanding of the potential and limitations for using different types of remotely sensed imagery (satellite, aerial, drone) as well as a general knowledge of different categories of analytical tools and how they can be applied to different sectors.

avatar for Chuck Conley

Chuck Conley

Account Manager, Esri
Chuck Conley is an Account Manager with Esri’s Nonprofits & Global Organizations Team. He is passionate about advancing the use of Geography and GIS technology in the humanitarian and development fields. For the first 17 years of his GIS career he worked to directly support a wide... Read More →
avatar for Brendan O'Neill

Brendan O'Neill

Solution Engineer, Esri
Brendan O'Neill is a Solutions Engineer on Esri’s Nonprofit and Global Organizations team and supports the World Bank, World Food Programme, International Atomic Energy Agency, United Nations Refugee Agency (UNHCR), and USAID among others. Brendan focuses on formulating enterprise... Read More →

Thursday September 6, 2018 2:00pm - 3:00pm EDT
Academy Hall Breakout B 1825 Connecticut Avenue NW, 8th Floor, Washington, DC 20009