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William Parkinson

Director of Product Management
EarthDaily Analytics
Participates in 2 items

William has ten years of experience in remote sensing, spatial data, and machine learning as a researcher, educator, and developer. Will is EarthDaily's technical product manager, connecting users to the EarthDaily Constellation data. His foundational knowledge of statistics and natural systems has provided him with a highly flexible skillset.

Specializing in statistical machine learning of big data, he has applied his abilities to multiple domains. His current role focuses on developing advanced products that exploit big data and remote sensing for applications such as agriculture, geology, wetlands, forestry, and other land cover-based applications. He works closely with various stakeholders, including end-users and domain experts in industry, government, and academia, to discover how to address the information needs of the next generation of remote sensing users.

Sessions in which William Parkinson participates

Tuesday 7 November, 2023

Time Zone: (GMT-07:00) Mountain Time (US & Canada)
12:00 PM
12:00 PM MST - 1:00 PM MST | 1 hour
speaker
Earth Observation Program

In the face of escalating environmental challenges, Canada grapples with the urgent need for advanced solutions in wildfire monitoring, emissions reduction, and natural resource management. This panel discussion explores how the burgeoning "New Space" frontier offers innovative approaches to address these critical issues.We aim to provide a platform for various industry players to share their own innovative technologies and insights, creating a vibrant dialogue on crucial geospatial...

1:45 PM
1:45 PM MST - 2:10 PM MST | 25 minutes
speaker
Earth Observation Program

There is a pressing need for a global change detection system capable of persistently monitoring the entire earth with globally consistent coverage, temporally consistent sampling, scientific-grade geometric and radiometric quality, and cost-effective management of daily data. These four conditions enable near real-time monitoring and retrospective change detection applications while minimizing false positives and the required work to develop, maintain, and run harmonizing a...