Amazon SageMaker resources for Geospatial ML
How to get started
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Developer Guide
Learn more about Amazon SageMaker geospatial capabilities in this step-by-step guide.
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Example notebook
Learn how farmers can optimize crop production through advanced analytics and ML.
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Jumpstart Solution
Learn how to generate a counterfactual analysis of corn response to nitrogen.
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Geospatial insights for sustainability
Explore guidance for using geospatial data to monitor changes in forest cover.
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Agronomic data visualization
Explore guidance for using geospatial capabilities in agriculture use cases.
Blogs
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AWS Machine Learning Blog
SageMaker geospatial capabilities now generally available with security updates and more use case samples.
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AWS Machine Learning Blog
Learn how data scientists can monitor drought caused by climate change using geospatial data.
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AWS Machine Learning Blog
Damage assessment using SageMaker geospatial capabilities and custom models.
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AWS Machine Learning Blog
Build an agronomic data platform with SageMaker geospatial capabilities.
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AWS Machine Learning Blog
Remote monitoring of raw material supply chains for sustainability with SageMaker geospatial capabilities.
Customer stories
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BMW Group
Learn how the BMW Group is using SageMaker geospatial capabilities for sustainable mobility.
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Arup
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Arup
Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities.
Demo videos
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re:Invent 2022
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AWS on Air
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SageMaker Friday Virtual Workshop
SageMaker Fridays: build, train, and deploy ML models using geospatial data.
What's new
Read SageMaker geospatial-specific updates.