GDRR 525 - Geo-Information Imagery for Disaster Relief And Recovery
The course focusing on Geo-Information Imagery data and its applications in disaster relief and recovery which include Global Network Satellite Systems (GNSS), Landsat, LiDAR, Hyperspectral, Multispectral, Synthetic Aperture Radar (SAR) and Digital Elevation Models (DEM), Unmanned Aerial System (UAS), and analytical methods such as Geographic object-based image analysis (GEOBIA), Change Detection, Machine Learning and classification of remotely sensed data and geo-information data analytics.
This course assumes that students have prior knowledge in the basics of Geo-Information Imagery and have experience with geospatial software, particularly ArcGIS. Upon completion students will be able to develop analytical workflows to derive products from Geo-Information Imagery for a broad range of applications. The culmination of this course is an independent final project in which students will demonstrate their ability to apply new skills to a real-world situation of personal or professional interest.
Contact Hours
56 hours
1 meeting per week 4 hours per meeting
14 weeks
Course Learning Objectives
- CLO 1: Ability to collect and manage data from imagery, external data sources, and hardware
- CLO 2: Apply processing workflows to derive and produce data sets.
- CLO 3: Apply analytical and classification workflows on imagery for disaster relief and recovery.
References
Ghilani, Charles D. Elementary surveying : an introduction to geomatics. 13th ed., Inter’l ed. Boston : Pearson, c2012.
Mendizabal Samper, Jaizki. GPS & Galileo : dual RF front-end receiver and design, fabrication, and test. New York : McGraw-Hill, c2009.
Brimicombe, Allan. Location-based services and geo-information engineering. Chichester, U.K. ; : Wiley, 2009.
Elder, J. H. Faster disaster recovery. 2019
Dufty, N. Disaster education, communication and engagement. 2020
https://earth.esa.int/eogateway
https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset