Monitoring our urban and natural environments has become more efficient, rapid, and cost-effective. Using aerial imagery, CCTV or low-cost trail cameras, combined with machine learning and cloud computing, we can now remotely monitor local assets, detect invasive species, identify building outlines, and map landcover, among many other possibilities. In this webinar, we'll delve into examples of each task and explore the technologies that make them possible.
About the Presenter:
David Knox Principal Data Scientist
Lynker Analytics
David leads the data science practice at Lynker Analytics. He has over 20 years of experience in data and analytics and has led multiple deep learning projects.
David currently works on machine learning models for landcover classification, building outline detection, and asset monitoring using computer vision.
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