The document discusses how AWS analytics platforms can help break down silos in earth observation data. It provides an example of a customer that needed to analyze water bodies over 25 years using satellite data up to petabytes in size. AWS services like Amazon S3, Athena, SageMaker, and EC2 were used to gather, store, and analyze the large geospatial data in a centralized data lake without needing to copy the data. This allows multiple customers to securely access and share the data.

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Canberra, ACT

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Earth Observation and AWS's Analytics Platform:
Breaking Down The Silos
Herman Coomans,
Senior Manager, Solutions Architecture
AWS

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models
Aerial
imagery
Climate
models
Satellite
imagery
High-resolution
radar
aws.amazon.com/earth

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Ibis Rookery
Image source: Wikimedia Commons

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Customer story: Environment
Required analysis of water bodies
Steps to complete:
• Gather satellite data (time required: 25 years)
• Store data up to petabytes
• Build compute cluster
• Perform analytics

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Image:
Geosciences Australia

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Silo Photo
Image source: Wikimedia Commons
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Customer story: Environment
Required analysis of water bodies over 25 years
Steps to complete:
• Gather satellite data (time required: 25 years)
• Store data up to petabytes
• Build compute cluster
• Perform analytics

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Architecture
Geospatial Data Lake
Region
Amazon S3
Consumer
Amazon AthenaAmazon ES
Amazon SageMaker
Notebook
Model
Amazon RDS
postgres
Polygons
Amazon WorkSpaces:
desktop
Amazon EC2
server

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Architecture
Geospatial Data Lake
Region
Amazon S3
Consumer
Amazon AthenaAmazon ES
Amazon SageMaker
Notebook
Model
Amazon RDS
postgres
Polygons
Amazon WorkSpaces
desktop
Amazon EC2
server

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How to
copy your petabytes of geospatial
data down from the cloud

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Share, don’t copy
Geospatial Data Lake
Region
Amazon
WorkSpaces
Amazon S3
Customer 1 Customer 2 Customer 3 Customer 4 Customer 5
Amazon AthenaAmazon ES
Amazon EC2 AWS Lambda Amazon SageMaker
Users
Amazon EMR

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Share, don’t copy
Geospatial Data Lake
Region
Amazon
WorkSpaces
Amazon S3
Customer 1 Customer 2 Customer 3 Customer 4 Customer 5
Amazon AthenaAmazon ES
Amazon EC2 AWS Lambda Amazon SageMakerAmazon EMR
Desktop Server