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首页> 外文期刊>Marine Geodesy >Optimizing Remote Sensing and GIS Tools for Mapping and Managing the Distribution of an Invasive Mangrove (Rhizophora mangle) on South Molokai, Hawaii
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Optimizing Remote Sensing and GIS Tools for Mapping and Managing the Distribution of an Invasive Mangrove (Rhizophora mangle) on South Molokai, Hawaii

机译:优化遥感和GIS工具以映射和管理夏威夷南莫洛凯州的入侵红树林(Rhizophora mangle)的分布

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摘要

In 1902, the Florida red mangrove, Rhizophora mangle L., was introduced to the island of Molokai, Hawaii, and has since colonized nearly 25% of the south coast shoreline. By classifying three kinds of remote sensing imagery, we compared abilities to detect invasive mangrove distributions and to discriminate mangroves from surrounding terrestrial vegetation. Using three analytical techniques, we compared mangrove mapping accuracy for various sensor-technique combinations. ANOVA of accuracy assessments demonstrated significant differences among techniques, but no significant differences among the three sensors. We summarize advantages and disadvantages of each sensor and technique for mapping mangrove distributions in tropical coastal environments.
机译:1902年,佛罗里达州的红树红树菌Rhizophora mangle L.被引入夏威夷的Molokai岛,此后已在南海岸海岸线上定居了近25%。通过对三种遥感影像进行分类,我们比较了检测入侵性红树林分布并将红树林与周围陆地植被区分开的能力。使用三种分析技术,我们比较了各种传感器技术组合的红树林制图精度。准确性评估的方差分析表明,技术之间存在显着差异,但三个传感器之间没有显着差异。我们总结了用于绘制热带沿海环境中红树林分布的每种传感器和技术的优缺点。

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