...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of remote sensing >Mapping freshwater marsh species distributions using WorldView-2 high-resolution multispectral satellite imagery
【24h】

Mapping freshwater marsh species distributions using WorldView-2 high-resolution multispectral satellite imagery

机译：使用WorldView-2高分辨率多光谱卫星图像绘制淡水沼泽物种分布图

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Freshwater wetlands are highly diverse, spatially heterogeneous, and seasonally dynamic systems that present unique challenges to remote sensing. Maximum likelihood and support vector machine-supervised classification were compared to map wetland plant species distributions in a deltaic environment using high-resolution WorldView-2 satellite imagery. The benefits of the sensor's new coastal blue, yellow, and red-edge bands were tested for mapping coastal vegetation and the eight-band results were compared to classifications performed using band combinations and spatial resolutions characteristic of other available high-resolution satellite sensors. Unlike previous studies, this study found that support vector machine classification did not provide significantly different results from maximum likelihood classification. The maximum likelihood classifier provided the highest overall classification accuracy, at 75%, with user's and producer's accuracies for individual species ranging from 0% to 100%. Overall, maximum likelihood classification of WorldView-2 imagery provided satisfactory results for species distribution mapping within this freshwater delta system and compared favourably to results of previous studies using hyperspectral imagery, but at much lower acquisition cost and greater ease of processing. The red-edge and coastal blue bands appear to contribute the most to improved vegetation mapping capability over high-resolution satellite sensors that employ only four spectral bands.
机译：淡水湿地是高度多样化，空间异质和季节性动态的系统，这对遥感提出了独特的挑战。使用高分辨率WorldView-2卫星图像，将最大可能性和支持向量机监督的分类与三角洲环境中的湿地植物物种分布图进行了比较。测试了该传感器新的沿海蓝色，黄色和红色边缘带的优势，以绘制沿海植被图，并将八频带的结果与使用频带组合和其他可用的高分辨率卫星传感器特性的空间分辨率进行的分类进行了比较。与以前的研究不同，本研究发现支持向量机分类与最大似然分类没有提供明显不同的结果。最大似然分类器可提供最高的整体分类精度，为75％，单个物种的使用者和生产者的准确度范围为0％至100％。总体而言，WorldView-2影像的最大似然分类为该淡水三角洲系统中的物种分布图绘制提供了令人满意的结果，并且与使用高光谱影像的先前研究结果相比具有优势，但购置成本却低得多且易于处理。与仅采用四个光谱带的高分辨率卫星传感器相比，红边和沿海蓝色带似乎对提高植被测绘能力贡献最大。

著录项

  • 来源
    《International journal of remote sensing》 |2014年第13期|4698-4716|共19页
  • 作者

    Melissa Vernon Carle; Lei Wang; Charles E. Sasser;

  • 作者单位

    Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USA,National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Office of Habitat Conservation, Restoration Center, 1315 East-West Highway, SSMC3, Silver Spring, MD 20910, USA;

    Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA;

    Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号