Geospatial Image Processing and Analytics at Any Scale with CATALYST

CATALYST (PCI Geomatics) has played a critical role in supporting the Government of Canada, Academic and Commercial organizations to meet their objectives processing satellite optical, SAR and aerial data using advanced science and automated workflows. New design patterns make it possible to implement the same great technology in new, innovative ways.  

What we will cover: In this workshop we will demonstrate how to scale processing using various approaches including:

• Building automated Python based workflows to automate processing within CATALYST Professional 
• Leveraging built automation through CATALYST Enterprise 
• Deploying conventional (CP or CE) processing environments leveraging on premise or cloud based architectures
• Implementing massively scalable microservices based processing environments to achieve low latency, high volume processing of big data

Use Case Demonstration: In this workshop we will showcase how CATALYST has integrated its technology in the Azure cloud environment to process the complete Sentinel-1 GRD archive to a Radiometric terrain corrected product level.

What you will learn:  

• How to process imagery in different environments and achieve automation 
• Introduction to cloud computing and key concepts 
• Understanding cloud flexibility and elasticity  
• How to use design cloud-based applications to process geospatial data 
• The necessity of Radiometric terrain corrected products for geospatial science  
• Example use cases for processing on the cloud  

Target Audience: The workshop is targeted towards project management and scientists who are interested in further leveraging CATALYST technology in different environments.