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Getting started with Amazon SageMaker geospatial - Amazon SageMaker AI
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Getting started with Amazon SageMaker geospatial

Note

Amazon SageMaker geospatial capabilities will no longer be open to new customers starting on 7/30/26. Offboard any previously saved jobs to Amazon S3 by using the ExportEarthObservationJob and ExportVectorEnrichmentJob API operations.

SageMaker geospatial provides a purpose built Image and Instance type for Amazon SageMaker Studio Classic notebooks. You can use either CPU or GPU enabled notebooks with the SageMaker geospatial Image. You can also visualize your geospatial data using a purpose built visualizer. Furthermore, SageMaker geospatial also provides APIs that allow you to query raster data collections.You can also use pre-trained models to analyze geospatial data, reverse geocoding, and map matching.

Note

As of November 30, 2023, the previous Amazon SageMaker Studio experience is now named Amazon SageMaker Studio Classic. If prior to November 30, 2023 you created a Amazon SageMaker AI domain, Studio Classic remains the default experience. domains created after November 30, 2023 default to the new Studio experience.

Amazon SageMaker geospatial features and resources are only available in Studio Classic. To learn more about setting up a domain and getting started with Studio, see Getting started with Amazon SageMaker geospatial.

To access and get started using Amazon SageMaker geospatial, do the following:

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