Machine Learning, AI & satellite imagery: what impact on humanitarian mapping?

Machine Learning, AI & satellite imagery: what impact on humanitarian mapping?

Artificial Intelligence and machine learning are progressing extremely fast in recognizing automatically elements from satellite imagery. However, how ready are these solutions to fulfill operational requirements? Are automatic solutions ready to replace traditional field data collection methods (e.g. for characterizing POIs) or existing crowdsourcing processes (e.g. Missing Maps/OpenStreetMap)?

Scheduled on Monday 29/10 between 11am and 12:30pm.

Facilitator

• - Benjamin Herfort, Research Assistant - GIScience Research Group, Heidelberg University

Participants

• - Hugo Fournier, Research & Development Engineer at Magellium
• - Thao Ton That Whelan, GIS and Remote Sensing Analyst - Protection Division at ICRC & Pierrick Poulenas, CEO at Picterra
• - Paul Vermeulen, Innovation Coordinator at Humanity & Inclusion (Handicap International) Suisse
• - Matthew Wence, Global GIS Manager / Settlement Specialist at IMPACT Initiatives

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