MTU Grad Students

Research fromMTU’s Integrated

Geospatial Technology MS Program

mtu.edu/technology/graduate/igt/Research described in this presentation was carried out in part at the Jet Propulsion Laboratory under a Research and Technology Development Grant, under contract with the National Aeronautics and Space Administration. Copyright 2015 California Institute of Technology. All Rights Reserved. US Government Support Acknowledged

Contributors ❏ Yushin Ahn, Assistant Professor, School of Technology, MTU❏ Jorge Garcia, Visiting Scholar, School of Technology, MTU ❏ Eugene Levin, Associate Professor, School of Technology, MTU❏ Jessica McCarty, Research Scientist, MTRI and Adjunct Assistant

Professor, School of Technology, MTU❏ Thomas Oommen, Assistant Professor, Geologic and Mining

Engineering and Sciences, MTU❏ Umaa Rebbapragada, Jet Propulsion Laboratory, California Institute of

Technology

❏ Sam Aden, MS Graduate, IGT, MTU❏ James Bialas, MS Student, IGT, MTU❏ Zach Champion, MS Student, IGT, MTU❏ Joseph Grocholski, Undergraduate, Geospatial Engineering, MTU❏ Jeremiah Harrington, MS Student, IGT, MTU❏ Greg Martin, MS Student, IGT, MTU ❏ Krishna Murthy, MS Graduate, IGT, MTU

Unmanned Aerial Vehicles (UAVs)

● Fixed Wing and Multirotor ● Pixhawk and ArduPilot controls● RGB, NIR, and thermal infrared sensors ● 3-D printed fixed wing

Infrared Thermal Sensing

Near Infrared Imagery

Aerial Imagery

Quincy Smelter Mapping

● Working in conjunction with Keweenaw National Historical Park

● Terrestrial LiDAR● Terrestrial close range photogrammetry ● Aerial Imagery from UAV

Image from nps.gov

Quincy Smelter Slag Pile

LiDAR Scanning of Quincy Smelter

1938 aerial imagery from USGS

Social Media Data Mining

● Twitter, Instagram, Strava ● Earthquakes, wildfires, pollution, bicycle

routes● Classification, visualization, natural

language processing, decision support.

Identifying and classifying bicycle routes from social media

Image Classification

● Object and Pixel Based● Supervised classification using machine

learning methods● Satellite and aerial imagery ● Earthquake damage identification● Long term land cover change analysis at

Philmont Scout Ranch in New Mexico

Object and pixel based classifications of 2011 Christchurch, New Zealand Earthquake Damage

Acknowledgements● Image Classification material is based upon work supported by the

National Science Foundation under Grant No. 1300720