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Cloud Native Geospatial Systems: COPC Datasets, STAC Integration, and Large-Scale Processing Techniques - Ticketed Event

Decorative image for session Cloud Native Geospatial Systems: COPC Datasets, STAC Integration, and Large-Scale Processing Techniques - Ticketed Event

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1:45 PM, Tuesday 7 Nov 2023 MST (1 hour 30 minutes)
Big Four Roadhouse - Education & Workshop Theatre
Earth Observation Program
The workshop focuses on the role of Cloud Optimized Point Clouds (COPC) datasets and the SpatioTemporal Asset Catalog (STAC) within geospatial cloud systems. Attendees will gain insights into the Pointcloud Data Abstraction Library (PDAL) and the nuances of creating cloud-native metadata. Demonstrations will showcase practical methods for managing and processing large datasets in cloud infrastructures.

COPC & STAC Overview: Gain a clear understanding of COPC datasets and the role of STAC in geospatial cloud infrastructures.

Data Description with PDAL: Explore PDAL and its potential in automating geospatial data descriptions efficiently.

Cloud Native Metadata Creation: Grasp the process and significance of crafting cloud-native metadata, a vital component for effective cloud-based geospatial data management.

Large-Scale Data Processing: Engage in a demonstration showcasing the techniques to manage and process terabytes of data using cloud-native geospatial methods.

Target Audience:
Professionals in the geospatial domain interested in modernizing their approaches to data processing, management, and cloud integration. This workshop provides a structured and informative approach to integrating cloud infrastructure with geospatial data for optimal outcomes.


Who's Attending

Sarah Kohlsmith
Remote Sensing Coordinator
Suncor Energy Inc.
Chad Bryant
Principal Scientist
Wyvern Inc.
Sean Lackie
BC Hydro
Jin-Ya Wang
Department of Geomatics Engineering
University of Calgary
Humaid Kidwai
MSc Student
University of Calgary
Caleb Sharp
Full-stack Product Developer
Two Story Robot
Stuart Krause
Geospatial Data Scientist
Weyerhaeuser Timberlands - Data and Technology Solutions Team (DTST)
Kaileen McCulloch
Full-stack Product Developer
Two Story Robot
Sara Sametsavoji
Engineer in Training
Kate Mai
Lead GIS Solutions Architect
HS GovTech Solutions Inc.

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