On Thursday, November 11th, from 3:45-5:00 pm, this week's seminar
will feature Dr. Francois Smith, Distinguished Member of the Technical
Staff at Maxar Technologies. He will give a talk on Remote Sensing From
the Perspective of an Industry Scientist. Please see the attached flyer
or the text below for connection details and abstract. The talk will be
on Zoom.
Abstract:
Dr.
Smith will be giving a presentation on the space infrastructure and
Earth intelligence company, Maxar, as well as his experience as a
commercial Remote Sensing Scientist. Maxar has over 60 years of
experience in supporting commercial and government missions with Space
Infrastructure capabilities and owns and operates the world’s most
advanced commercial satellite constellation. Dr. Smith is engaged in the
research and development of Maxar’s commercial and government Earth
intelligence products that take advantage of the high resolution of the
Worldview satellites, specializing in change detection and landcover.
He will also be covering Maxar’s academic outreach goals and ways to
access Maxar imagery, tools, and applications.
Among other topics, the seminar will cover:
1) The background of Maxar as a commercial space company
2) What it's like to work as a remote sensing scientist in an industry-oriented environment
3) Maxar's suite of satellite imagery and remote sensing tools and how to access them
4) Maxar academic outreach efforts
5) Dr. Smith's career as a leading industry scientist
Bio:
Francois G.F. Smith has more than two decades of expertise in remote sensing research and development. He obtained his M.S. in Geography and Ph.D in Remote Sensing from the University of South Carolina and has published several peer-reviewed articles throughout his tenure as a member of Maxar's development staff. He has contributed to projects in collaboration with numerous agencies, including FEMA, NGA, NOAA, USAID, NASA, and USGS.
Hosted by:
Levi Madenberg (lmadenbe@terpmail.umd.edu)
Zihan Chen (zchen117@terpmail.umd.edu)
Join Zoom Meeting
https://umd.zoom.us/j/
Meeting ID: 991 9396 8299
Passcode: 6QnC6d
