Page Banner

United States Department of Agriculture

Agricultural Research Service

Research Project: USING REMOTE SENSING AND GIS FOR DETECTING AND MAPPING INVASIVE WEEDS IN RIPARIAN AND WETLAND ECOSYSTEMS Title: Evaluating airborne multispectral digital video to differentiate giant Salvinia from other features in northeast Texas

Authors
item Fletcher, Reginald
item Everitt, James -
item Elder, Howard -

Submitted to: Remote Sensing
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: October 13, 2010
Publication Date: October 19, 2010
Citation: Fletcher, R.S., Everitt, J.H., Elder, H. 2010. Evaluating airborne multispectral digital video to differentiate giant Salvinia from other features in northeast Texas. Remote Sensing. 2(10):2413-2423.

Interpretive Summary: Giant salvinia is one of the world’s most noxious aquatic weeds. Researchers employed airborne digital video imagery and an unsupervised computer analysis to derive a map showing giant salvinia and other aquatic and terrestrial features within a study site located in northeast Texas. The map had a user’s accuracy of 74.6% for the giant salvinia class, indicating aerial digital videography has potential as a tool for differentiating giant salvinia from other terrestrial and aquatic features. Natural resource managers can use the thematic map as a decision support tool.

Technical Abstract: Giant salvinia is one of the world’s most noxious aquatic weeds. Researchers employed airborne digital video imagery and an unsupervised computer analysis to derive a map showing giant salvinia and other aquatic and terrestrial features within a study site located in northeast Texas. The map had a user’s accuracy of 74.6% for the giant salvinia class, indicating aerial digital videography has potential as a tool for differentiating giant salvinia from other terrestrial and aquatic features. Natural resource managers can use the thematic map as a decision support tool.

Last Modified: 4/18/2014
Footer Content Back to Top of Page