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The Utility of Digital Globe's WorldView-2 Satellite Data in Mapping Seagrass in North Carolina Estuaries.

机译:Digital Globe的WorldView-2卫星数据在北卡罗莱纳州河口海草制图中的实用性。

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摘要

Submerged aquatic vegetation (SAV) is a valuable natural resource in North Carolina estuaries. The State's Coastal Habitat Protection Plan (CHPP) has stated a need to monitor SAV coverage over time. Thus, the Albemarle-Pamlico National Estuarine Program (APNEP) SAV Partners has a project underway developing a mapping methodology combining remote sensing and boat-based methods to map SAV. As a partner in the APNEP mapping program, this research investigated the utility of satellite remote sensing in the mapping of SAV in NC estuaries. In particular, the data of DigitalGlobe's WorldView-2 (WV-2) satellite launched October 2009 were studied. The WV-2 data are of high spatial resolution (∼2x2 m) and 5 visible multi-spectral bands, including a "coastal" band (400-450 nm).;One WV-2 image per site was acquired. Three sites were, Jarrett Bay, Blounts Bay, and Sandy Point. Land and deep water (>2 m) pixels were eliminated from each image and subjected to a principal component analysis (PCA), where the first two components were input into the Iterative Self-Organizing Data Analysis Techniques (ISODATA) unsupervised classification. Ground reference points were used to perform an accuracy assessment. At Jarrett Bay, where a continuous SAV bed covered 40%-70% of the study site, results showed an 86.4% classification accuracy in water depths 0.8 m and 40.9% accuracy in water depths > 0.8m. At Blounts Bay, where SAV coverage was sparse (0%-10%), classification accuracy was 50% in water depths 0.8 m and remained at 50% in depths > 0.8m. The Sandy Point image was deemed unusable due to extensive sun glint. Most misclassifications were due to dark sediment and the sensor's difficulty in detecting small SAV patches ( 1x1 m). Additionally, according to the environmental conditions present in the images, a water depth threshold where WV-2 can accurately detect SAV was determined at 0.8 m in NC estuaries. With improved water clarity, this 0.8 m threshold would increase. Finally, the unique coastal band was highly susceptible to scattering and absorption due to suspended sediment and colored dissolved organic matter (CDOM) present in the water column of the study area.
机译:水下水生植物(SAV)是北卡罗莱纳州河口的宝贵自然资源。该州的沿海人居保护计划(CHPP)表示有必要随时间监控SAV的覆盖范围。因此,Albemarle-Pamlico国家河口计划(APNEP)SAV合作伙伴正在进行的一个项目正在开发一种结合遥感和基于船的方法绘制SAV的地图方法。作为APNEP制图程序的合作伙伴,本研究调查了卫星遥感在NC河口SAV制图中的实用性。特别是,研究了2009年10月发射的DigitalGlobe的WorldView-2(WV-2)卫星的数据。 WV-2数据具有较高的空间分辨率(〜2x2 m)和5个可见的多光谱带,其中包括“沿海”带(400-450 nm)。;每个位置采集了一张WV-2图像。三个地点分别是Jarrett湾,Blounts湾和Sandy Point。从每幅图像中消除了陆地和深水(> 2 m)像素,并进行了主成分分析(PCA),其中前两个成分被输入到迭代自组织数据分析技术(ISODATA)的无监督分类中。地面参考点用于进行准确性评估。在Jarrett湾,连续的SAV床覆盖了研究地点的40%-70%,结果显示,水深<0.8 m时,分类精度为86.4%,水深> 0.8m时,精度为40.9%。在布隆特湾(Blounts Bay),SAV覆盖率很低(0%-10%),在<0.8 m的水深中,分类精度为50%,而在> 0.8m的水深中,分类精度保持为50%。桑迪角(Sandy Point)图像由于广泛的太阳闪光而被认为无法使用。大多数错误分类是由于沉积物较暗以及传感器难以检测到小的SAV斑块(<1x1 m)。此外,根据图像中存在的环境条件,在NC河口将水深阈值确定为WV-2可以准确检测SAV的位置。随着水透明度的提高,该0.8 m的阈值将增加。最后,由于研究区域水柱中存在悬浮的沉积物和有色溶解有机物(CDOM),独特的沿海带极易被散射和吸收。

著录项

  • 作者

    Curran, Richard W.;

  • 作者单位

    East Carolina University.;

  • 授予单位 East Carolina University.;
  • 学科 Biology Botany.;Environmental Management.;Geodesy.
  • 学位 M.A.
  • 年度 2011
  • 页码 69 p.
  • 总页数 69
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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