Date of Award


Document Type

Open Access Thesis



First Advisor

Michael Hodgson


When a disaster occurs, remotely sensed imagery is critical for emergency responders. Aircraft collect digital images of damaged areas to assist with damage assessment and response planning. Such airborne imagery can be transmitted directly from the plane to ground antennae and internet-connected dispersal, allowing for faster acquisition of data. However, air-to-ground transmission of images requires near-constant visibility between the aircraft transmitter and ground station antenna. This research uses GIS-based models to identify the ground station locations that can reliably receive data from aircraft, using a variety of visibility analysis methods and a comparison of their performance. A custom algorithm is demonstrated to perform significantly faster than commercially available software tools.

Included in

Geography Commons