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Friday, September 6 • 12:50pm - 12:55pm
Machine Learning to Measure Impact with Remotely Sensed Imagery and Vector Data

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In this session we will introduce 2 case studies for how organizations are using raster and vector data to monitor the impact of their programs. The talk is meant to alert attendees to the potential for leveraging machine learning algorithms to provide new insights and inspire them to think of ways to apply these data sources and methods to their own work.

avatar for Alberto Nieto

Alberto Nieto

Spatial Statistics Product Engineer, Esri
Alberto Nieto is a Product Engineer on Esri’s Spatial Statistics team. In his role, he helps research, build, and maintain spatial data science capabilities in ArcGIS and works closely with government agencies to learn about the problems our software can help solve. Alberto’s... Read More →

Friday September 6, 2019 12:50pm - 12:55pm EDT
Academy Hall FHI 360 Conference Center, 1825 Connecticut Ave, 8th Floor, Washington, DC
  Emerging Approaches, Lightning Talk
  • session type Plenary Talk