Leveraging deep learning to extract flooding extent from remote sensing imagery

We will build a deep learning classification technique on a temporal sequence of geo-registered remote sensing images to extract the dynamics of flooding extent during extreme weather events.

Jonathan L Goodall
School of Engineering and Applied Science

Guoping Huang
School of Architecture

Devin K. Harris
School of Engineering and Applied Science

Find out more: https://3c.virginia.edu/projects/157

Duration: 01:10

Posted: Thursday, November 14, 2019

Video tags: School of Engineering and Applied Science, School of Architecture, Jonathan L Goodall, Guoping Huang, Devin K. Harris

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