1 year ago

Geospatial ML with Amazon SageMaker supports access to readily available geospatial data, purpose-built processing operations and open source libraries, pre-trained ML models, and built-in visualization tools with Amazon SageMaker’s geospatial capabilities. Introducing Geospatial ML features with SageMaker Studio To get started, use the https://docs.aws.amazon.com/sagemaker/latest/dg/onboard-quick-start.html to launch Amazon SageMaker Studio in the US West (Oregon) Region.

Here is an overview of three key Amazon SageMaker geospatial capabilities: Earth Observation jobs – Acquire, transform, and visualize satellite imagery data using purpose-built geospatial operations or pre-trained ML models to make predictions and get useful insights.

You can create all https://docs.aws.amazon.com/sagemaker/latest/dg/geospatial-eoj.html (EOJ) in the SageMaker Studio notebook to process satellite data using purpose-built geospatial operations.

You can use SageMaker Studio or Notebook in your Amazon VPC environment for SageMaker geospatial operations and execute SageMaker geospatial API operations through an interface VPC endpoint in SageMaker geospatial operations.