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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: Mapping riparian and wetland weeds with high resolution satellite imagery

Authors
item Everitt, James
item Sriharan, Shobha - VIRGINIA STATE UNIVERSITY
item Yang, Chenghai
item Fletcher, Reginald

Submitted to: Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: September 10, 2008
Publication Date: October 25, 2008
Citation: Everitt, J.H., Sriharan, S., Yang, C., Fletcher, R.S. 2008. Mapping riparian and wetland weeds with high resolution satellite imagery. Geoscience and Remote Sensing Symposium Proceedings. CDROM.

Technical Abstract: Aquatic and wetland weeds are a serious management problem in many freshwater ecosystems of the world. This paper presents an overview on the application of using high resolution QuickBird multi-spectral satellite imagery for detecting weeds in waterways and wetlands in Texas. Unsupervised image analysis was used to classify false color composite (green, red, and near-infrared) satellite images of weed infestations and accuracy assessments were performed on classified images. Plant species addressed include giant reed (Arundo donax L.), waterhyacinth [Eichhornia crassipes (Mart.) Solms], spiny aster [Leucosysris spinosa (Benth.) Greene] , and giant salvinia (Salvinia molesta Mitchell).

Last Modified: 8/27/2014
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