In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite imagery to understand our planet and our impact on it. AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.
Many agencies, including first responders, are using these offerings to gain large-scale situational awareness and prioritize relief efforts in geographical areas that have been struck by natural disasters. Often these agencies are dealing with disaster imagery from low altitude and satellite sources, and this data is often unlabeled and difficult to use. State-of-the-art computer vision models often underperform when looking at satellite images of a city that a hurricane or

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