• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIII >Evaluation of red-edge spectral information for biotope mapping using RapidEye
【24h】

Evaluation of red-edge spectral information for biotope mapping using RapidEye

机译：使用RapidEye评估用于生物群落定位的红边光谱信息

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

Mapping of Landscape Protection Areas with regard to user requirements for detailed land cover and biotope classes has been limited by the spatial and temporal resolution of Earth observation data. With the new spatial high resolution RapidEye data providing an additional channel in the red-edge region potentially new possibilities for vegetation mapping should be investigated. The presented work is part of the ENVILAND-2 project, which focuses on the complementary use of RapidEye and TerraSAR-X data to derive land cover and biotope classes as needed by the environmental agencies. The goal is to semi-automatically update the corresponding maps by utilising more Earth observation data and less field work derived information. The red-edge spectral region located between the red and near infrared (NIR) wavelengths, has proven to held valuable information on vegetation type, age and condition. In this study the goal is to evaluate the red-edge spectral information compared to the shorter and longer wavelength of the RapidEye sensor. This is done with regard to the classification capability of different land cover classes. Four RapidEye images were used covering two study sites: 1. Rostocker Heide, Mecklenburg-Vorpommern and 2. Elsteraue, Saxony. The spectral bands were analysed for redundant information by using regression and hypothesis testing. For the red-edge band and for every class combination present in the study area different separability measurements like divergence or Bhattacharyya distance were computed. As result there are for every class a separability values. The separability values are provided for all spectral bands. A comparison of the values showed the applicability of the red-edge for the classification. Results have shown that additional red-edge information leads to similar class separability for vegetation classes as using red and NIR spectral information. Some specific classes can be classified with a higher accuracy by additional using the red-edge information.
机译：根据用户对详细土地覆盖和生物群落类别的要求，对景观保护区的制图受到地球观测数据的时空分辨率的限制。借助新的空间高分辨率RapidEye数据，可以在红边区域中提供额外的通道，应该研究潜在的植被映射新可能性。提出的工作是ENVILAND-2项目的一部分，该项目专注于RapidEye和TerraSAR-X数据的补充使用，以根据环境机构的需要得出土地覆盖和生物群落类别。目标是通过利用更多的地球观测数据和更少的野外作业衍生信息来半自动更新相应的地图。事实证明，位于红色和近红外（NIR）波长之间的红边光谱区域可保存有关植被类型，年龄和状况的宝贵信息。在这项研究中，目标是评估与RapidEye传感器的较短和较长波长相比的红边光谱信息。这是针对不同土地覆盖类别的分类能力来完成的。使用了四张RapidEye图像，覆盖了两个研究地点：1.罗斯托克·海德（Rostocker Heide），梅克伦堡-前波莫瑞（Mecklenburg-Vorpommern）和2.埃尔斯特拉（Elsteraue），萨克森（Saxony）。通过使用回归和假设检验对频谱带进行了冗余信息分析。对于研究区域中出现的红边带和每种类别的组合，计算了不同的可分离性度量，例如散度或Bhattacharyya距离。结果，每个类别都有一个可分离性值。提供了所有光谱带的可分离性值。值的比较显示了红边在分类中的适用性。结果表明，与使用红色和NIR光谱信息相比，附加的红边信息可导致相似的植被分类分类。通过使用红边信息，可以更准确地对某些特定类别进行分类。

著录项

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