Scale Geospatial Data Lakes on AWS
Publication date: August 14, 2023 (Diagram history)
Repositories of geospatial data are becoming increasingly important
Scale Geospatial Data Lakes on AWS Diagram

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Initiate a data ingestion pipeline based on new scene detection. Subscribe to Amazon Simple Notification Service (Amazon SNS) topics for managed datasets with appropriate filters.
A time-based event can be configured using Amazon CloudWatch rules to begin ingestion during specific time windows.
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AWS Lambda queries the SpatioTemporal Asset Catalogs (STAC) API
for a respective dataset to get product details. It initiates the data processing pipeline through AWS Step Functions. -
Step Functions orchestrates the processing tasks. Parallel or sequential processing can be configured based on task characteristics and requirements.
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Amazon Elastic Container Service (Amazon ECS) runs containerized tasks to:
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Download the products from datasets hosted on the Registry of Open Data on AWS.
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Process (crop and geomosiac) the tiles to area of interest and store them in Amazon Simple Storage Service (Amazon S3) aoi-processed bucket. Build metadata and store them in Amazon DynamoDB. Store vector data in Amazon Aurora Postgres with PostGIS extensions.
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Step Functions initiates the next processing task with Amazon SageMaker AI.
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SageMaker AI-hosted ML models perform cloud removal and band math.
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Amazon WorkSpaces hosted GIS workbenches can be used for visualization. The data is stored in an Amazon S3 preprocessed bucket.
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Contributors
Contributors to this reference architecture diagram include:
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Ajit Rajdeosingh, Senior Solutions Architect, Amazon Web Services
Diagram history
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Change | Description | Date |
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Initial publication | Reference architecture diagram first published. | August 14, 2023 |
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