Remote Sensing with Sentinel-2 Satellite Images | Sponsored by the Government of Canada (NRCan)
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Remote Sensing with Sentinel-2 Satellite Images | Sponsored by the Government of Canada (NRCan)

The Problem


High resolution satellite products provide detailed snapshots of the Earth’s surface. In this working group, our community members examined the capabilities multiple ML techniques trained on Sentinel-2 data to develop accurate and robust land cover classification algorithm across Canada.
 

Working Group Leads / Advisors


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~ Fraser King | Lead PhD.c @ University of Waterloo, Canada
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Dr Karen Smith | Advisor ~ Assistant Professor, U of Toronto
 
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Dr Andre Erler | Advisor ~ Senior Climate Scientist at Aquanty

Project Recipe


At Aggregate Intellect, we’re contextualizing the world’s technical knowledge! Find below the 25+ resources used to build out this project - contextualized & commented. If you felt it empowered you to build using cool new tech, thank us by telling a friend!
 
 

Data


 
 

Resulting Project Code & Sample


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Winners / Contributors


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LinkedIns: Leah | Fynn
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LinkedIn: Jason
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LinkedIn: Samuel
 
Others who reached the minimal goal

Team Jungle: Sajad yazdanparast, Afshin Amini
Team JP: Paola Andrea, Juan Manuel
 

Sponsor


Due to the generosity of our sponsor, we were able to give over $4000 in gifts & prizes to participants, leads & advisors.
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Wrap-up Session Recording


Video preview
 
 
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