Project Info
Monitoring Tailing Dams using Remote Sensing
Sebnem Duzgun | duzgun@mines.edu
The project aims at the development of hyperspectral image analysis methods for monitoring the impacts of tailings dam failures. Gold King Dam failure and Dam failures in Brasil are the case study areas. As these areas cover a large extent, the use of satellite and airborne images for monitoring the impact is an efficient method. The student will learn how to implement remote sensing methods and GIS in environmental monitoring of large areas.
More Information
https://prezi.com/fns0-xa9fltu/csm/?utm_campaign=share&utm_medium=copy
Grand Engineering Challenge: Provide access to clean water
Student Preparation
Qualifications
The student needs to have a knowledge of GIS in intoructory-intermediate level.
Time Commitment
15 hours/month
Skills/Techniques Gained
How to process satellite images,
Hyperspectral image cubes,
Spectral signature of material
GIS and Remote Sensing
Mentoring Plan
The student will work with the faulty and the postdoc scholar.