How ICEYE uses satellite data & generative AI to speed flood response (AES305)

Leveraging Advanced Satellite Technology, AWS Cloud, and Generative AI to Revolutionize Natural Disaster Monitoring and Response

Introduction

  • This session explores the intersection of advanced satellite technology, AWS Cloud capabilities, and generative AI, and how this powerful combination is closing the data gap on natural disasters from space.
  • The goal is to enable objective data-driven decision-making that can save lives and protect communities.

isai: Democratizing Satellite Data and Revolutionizing Natural Disaster Monitoring

  • isai is an innovative space technology company that owns and operates the largest constellation of synthetic aperture radar (SAR) satellites.
  • isai has miniaturized SAR technology, allowing them to build and launch satellites more quickly and cost-effectively, democratizing access to this data.
  • isai's SAR technology can see through clouds, smoke, and volcanic ash, providing precise insights on the ground, even during natural disasters.
  • isai has three business segments: Mission (satellite manufacturing and operations), Satellite Data, and Solutions (providing geospatial insights and analytics).
  • The Solutions business aims to transform responsive recovery capability and drive resilience, focusing on natural catastrophe perils such as floods, wildfires, volcanic activity, and wind damage.

Flood Insights: Delivering Actionable Data-Driven Insights

  • isai's Flood Insights solution stitches together data from their satellite constellation, operational forecasting, and various other data sources to deliver depth and extent of flood impacts.
  • This observation-driven analysis engine can provide the first version of the analysis to clients within 24 hours of an event, with subsequent updates every 24 hours.
  • Examples of the impact of Flood Insights:
    • Providing real-time insights to FEMA and other agencies during Hurricane Ian, enabling faster response and recovery efforts.
    • Increasing situational awareness by 16x for agencies in Australia, allowing them to move from 5-10% understanding to 80% understanding within the first few days of an event.

Implementing the Workflow in AWS

  • isai leverages various AWS services to architect their cloud-based workloads and solutions, including:
    • AWS Ground Station for satellite data downlink and uplink
    • Amazon EKS for scalable and cost-optimized data processing
    • Amazon S3, Amazon RDS, and Amazon Aurora for storage and geospatial data management
    • Amazon SageMaker for building, training, and deploying machine learning models
  • This AWS-based architecture allows isai to reduce latency, scale their compute on-demand, and implement robust data analytics and AI workflows.

Enhancing Efficiency and Automation with Generative AI

  • To further improve the efficiency and speed of their natural catastrophe solutions, isai has been working with the AWS Space Team to leverage generative AI.
  • The goal is to automate manual tasks, such as social media data analysis, flood depth estimation, and report generation, to accelerate the time to customer value.
  • The solution leverages AWS services like Amazon Bedrock (for large language models) and Amazon SageMaker (for geolocation models) to automate these processes.
  • This allows isai's analysts to focus on higher-level tasks, while the generative AI handles the initial processing and analysis.

Conclusion

  • The collaboration between isai, AWS Cloud, and generative AI is revolutionizing natural disaster monitoring and response, enabling faster, more accurate, and data-driven decision-making.
  • By leveraging advanced satellite technology, cloud-based architecture, and AI-powered automation, isai is delivering tangible impact in protecting communities and saving lives around the world.

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