期刊
JOURNAL OF COASTAL RESEARCH
卷 24, 期 6, 页码 1582-1586出版社
COASTAL EDUCATION & RESEARCH FOUNDATION
DOI: 10.2112/07-0987.1
关键词
Remote sensing; QuickBird satellite imagery; computer image analysis; accuracy assessment; Texas Gulf Coast; Avicennia germinans
QuickBird false color satellite imagery was evaluated for distinguishing black mangrove [Avicennia germinans (L.) L.] populations on the south Texas Gulf Coast. The imagery had three bands (green, red, and near-infrared) and contained 11-bit data. Two subsets of the satellite image were extracted and used as test sites. Supervised and unsupervised image analysis techniques were used to classify the imagery. For the supervised classification of site 1, black mangrove had a producer's accuracy of 82.1% and a user's accuracy of 95.8%, whereas for the unsupervised classification, black mangrove had a producer's accuracy of 100% and a user's accuracy of 60.9%. In the supervised classification of site 2, black mangrove had a producer's accuracy of 91.7% and a user's accuracy of 100%, whereas in the unsupervised classification, black mangrove had a producer's accuracy of 100% and a user's accuracy of 85.7%. These results indicate that QuickBird imagery combined with image analysis techniques can be used successfully to distinguish and map black mangrove along the south Texas Gulf Coast.
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