Join us for a webinar and demo to discover how to leverage GeoAI capabilities to perform advanced analysis, automate workflows, extract patterns and features, and train deep learning models on various types of spatial data at scale. In this webinar, we will explore a wide range of use cases where GeoAI has been successfully applied in real-world scenarios. From rapid damage assessment to map production, organizations and users across different industries can harness the power of GeoAI to solve problems, quantify risks, and uncover opportunities faster than ever before.
This webinar will showcase practical case studies such as assessing hurricane damage using the Segment Anything Model low-rank-adaptation (SAMLoRA) foundational model, mapping informal settlements in South Africa using the TextSAM model, and utilizing GEnAI to explore extreme weather events.
Additionally, we will explore how Sentinel2 and Global Ecosystem Dynamic Investigation (GEDI) data can be used to predict cloud-based aboveground biomass. We will also demonstrate how to create web applications to improve situational awareness and design mobile data collection tools using configurable out-of-the-box technology. These tools can enhance decision-making processes and gain valuable insights from large-scale geospatial data.
Speakers:
Lisa Tanh
Solution Engineer
Esri
Michael Gould
Global Education Manager
Esri
Rami Alouta
Geospatial Enterprise systems expert
Esri
Moderators:
Rohini Swaminathan
Climate and Environment Data Unit
UNICEF
The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.
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The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
