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首页> 外文会议>Earth resources and environmental remote sensing / GIS applications IV >Wetland mapping and flood extent monitoring using optical and radar remotely sensed data and ancillary topographical Data in the Zhalong National Natural Reserve, China
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Wetland mapping and flood extent monitoring using optical and radar remotely sensed data and ancillary topographical Data in the Zhalong National Natural Reserve, China

机译：扎龙国家级自然保护区利用光学和雷达遥感数据及辅助地形数据进行湿地测绘和洪水程度监测

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摘要

Information regarding the spatial extent and inundation state in the internationally important Wetlands as designated by Ramsar Convention is important to a series of research questions including wetland ecosystem functioning and services, water management and habitat suitability assessment. This study develops an expedient digital mapping technique using optical remotely sensed imagery of the Landsat Thematic Mapper (TM), ENVISAT ASAR active radar C-band imagery, and topographical indices derived from topographic maps. All data inputs were resampled to a common 30 m resolution grid. An ensemble classifiers based on trees (random forest) procedure was employed to produce a final map of per-grid cell wetland probability map. This study also provides a general approach to delineate the extent of flooding builds upon documented relationships between fields measured inundation state and SAR data response on each vegetation types. The current study indicated that multi-source data (i.e. optical, radar and topography) are useful in the characterization of freshwater marshes and their inundation state. This analysis constitutes a necessary step towards improved herbaceous wetland monitoring and provides ecologists and managers with vital information that is related to ecology and hydrology in a wetland area.
机译：《拉姆萨尔公约》指定的有关国际重要湿地的空间范围和淹没状态的信息对于一系列研究问题非常重要，这些问题包括湿地生态系统功能和服务，水管理和栖息地适宜性评估。这项研究使用Landsat Thematic Mapper（TM）的光学遥感影像，ENVISAT ASAR有源雷达C波段影像以及从地形图得出的地形指数，开发了一种便捷的数字地图技术。将所有数据输入重新采样到30 m分辨率的普通网格。基于树（随机森林）过程的集成分类器被用来生成每个网格单元湿地概率图的最终图。这项研究还提供了一种通用的方法来描述洪水的程度，该方法建立在已记录的实测淹没状态与每种植被类型的SAR数据响应之间的已记录关系之间。当前的研究表明，多源数据（即光学，雷达和地形）可用于表征淡水沼泽及其淹没状态。该分析是改善草本湿地监测的必要步骤，并为生态学家和管理人员提供了与湿地地区生态和水文学有关的重要信息。

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  • 来源
  • 会议地点 Dresden(DE)
  • 作者

    Xiaodong Na; Shuying Zang; Yuhong Zhang; Lei Liu;

  • 作者单位

    Key Laboratory of remote sensing monitoring of geographic environment, College of Heilongjiang Province, Harbin Normal University, Harbin, P.R. China 150025;

    Key Laboratory of remote sensing monitoring of geographic environment, College of Heilongjiang Province, Harbin Normal University, Harbin, P.R. China 150025;

    Key Laboratory of remote sensing monitoring of geographic environment, College of Heilongjiang Province, Harbin Normal University, Harbin, P.R. China 150025;

    Key Laboratory of remote sensing monitoring of geographic environment, College of Heilongjiang Province, Harbin Normal University, Harbin, P.R. China 150025;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    optical and radar imagery; wetland mapping; flood extent; ancillary topographical data;

    机译：光学和雷达图像；湿地测绘；洪水范围辅助地形数据;

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