Using High Resolution Satellite Imagery to Map Black Mangrove on the Texas Gulf Coast
Using High Resolution Satellite Imagery to Map Black Mangrove on the Texas Gulf Coast
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DOI：
10.2112/07-0987.1
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发表时间：
2008-11
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影响因子：
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通讯作者：
J. Everitt;Chenghai Yang;S. Sriharan;F. Judd
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文献类型：
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作者：
J. Everitt;Chenghai Yang;S. Sriharan;F. Judd
摘要评价了QuickBird假彩色卫星图像对黑红树林[Avicennia germinans(L.)L.]南得克萨斯州墨西哥湾沿岸的人口。图像有三个波段(绿色、红色和近红外)，包含11位数据。卫星图像的两个子集被提取并用作试验场。使用监督和非监督图像分析技术对图像进行分类。对于站点1的监督分类，黑色红树林的生产者准确率为82.1%，用户准确率为95.8%；而对于非监督分类，黑色红树林的生产者准确率为100%，用户准确率为60.9%。在站点2的监督分类中，黑色红树林的生产者准确率为91.7%，用户准确率为100%，而在非监督分类中，黑色红树林的生产者准确率为100%，用户准确率为85.7%。这些结果表明，QuickBird图像与图像分析技术相结合，可以成功地识别和绘制德克萨斯州墨西哥湾南部沿岸的黑色红树林。
Abstract 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.