Evaluating airborne multispectral digital video to differentiate giant Salvinia from other features in northeast Texas

Abstract

Giant Salvinia (Salvinia molesta) is one of the world's most invasive aquatic weeds. We evaluated the accuracy of airborne multispectral digital video imagery for separating giant salvinia from other aquatic and terrestrial features at a study site located in northeast, Texas. The five-band multispectral digital video imagery was subjected to an unsupervised computer analysis to derive a thematic map of the infested area. User's and producer's accuracies of the giant salvinia class were 74.6% and 87.2%, respectively. Aerial multispectral digital videography has potential as a remote sensing tool for differentiating giant salvinia from other terrestrial and aquatic features. © 2010 by the authors.