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Remote Sens. 2010, 2(10), 2413-2423; doi:10.3390/rs2102413
Article

Evaluating Airborne Multispectral Digital Video to Differentiate Giant Salvinia from Other Features in Northeast Texas

1,* , 1
 and 2
Received: 20 August 2010; in revised form: 24 September 2010 / Accepted: 13 October 2010 / Published: 19 October 2010
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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.
Keywords: aquatic weed; giant salvinia; digital videography; invasive weed aquatic weed; giant salvinia; digital videography; invasive weed
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Fletcher, R.S.; Everitt, J.H.; Elder, H.S. Evaluating Airborne Multispectral Digital Video to Differentiate Giant Salvinia from Other Features in Northeast Texas. Remote Sens. 2010, 2, 2413-2423.

AMA Style

Fletcher RS, Everitt JH, Elder HS. Evaluating Airborne Multispectral Digital Video to Differentiate Giant Salvinia from Other Features in Northeast Texas. Remote Sensing. 2010; 2(10):2413-2423.

Chicago/Turabian Style

Fletcher, Reginald S.; Everitt, James H.; Elder, Howard S. 2010. "Evaluating Airborne Multispectral Digital Video to Differentiate Giant Salvinia from Other Features in Northeast Texas." Remote Sens. 2, no. 10: 2413-2423.


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