An analysis of two different change detection methods were conducted: Principle Component Analysis (PCA) and Image Subtraction. These methods highlighted vegetation and building structures of the off nadir drone imagery from the Hati earthquake in 2010 compared to the control of at nadir drone imagery from 2008.
During natural disasters, ground rescue becomes time consuming and dangerous, thus other methods need to be harnessed. In 2010 RIT’s Center for Imaging Science DIRS group used drone imagery to access the damage of the 7.7 Earthquake in Port de Prince, Hati.
The results illustrate that vegetation was largely lost due to the concrete of buildings falling on them as well as other makeshift survivor camps being located at parks and football stadiums. The location of major roads is noteworthy as debris from fallen trees and shelters could clog the storm drains leading to flooding (van Aradt 2011). The tasseled cap components were more noisy, but were better at identifying structures like buildings.
Lots of Honey 