SkyWatch
Jun is a software engineer developing image processing algorithms and services on the SkyWatch platform. He also serves as a project scientist and software developer in developing and maintaining the Sentinel-1 Toolbox in ESA's Sentinel Application Platform (SNAP). He participates in a NRC IRAP project in developing a deep learning based advanced cloud and shadow detection CNN model.
He has a Ph.D. in Electrical and Computer Engineering from McMaster University. He has 15 years of experience working on SAR and optical remote sensing image processing.
Outside of work, Jun enjoys hiking, biking and playing badminton with friends. He loves playing games with his dog.
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SkyWatch
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SkyWatch is on a mission to make Earth-observation data accessible to the world. Hundreds of trillions of pixels of our planet are captured from space every day. With new applications for this data being discovered constantly, the demand for satellite imagery across many industries is increasing. However, the current process for purchasing satellite imagery is extremely time-consuming and tedious. They experienced this problem first hand while working to predict crop yields by monitoring surface-level ozone movement. After weeks of trying to find the right data, SkyWatch decided to come up with their own solution.