...
首页> 外文期刊>Water SA >Generating high-resolution digital elevation models for wetland research using Google Earth™ imagery-an example from South Africa
【24h】

Generating high-resolution digital elevation models for wetland research using Google Earth™ imagery-an example from South Africa

机译:使用Google Earth™影像生成用于湿地研究的高分辨率数字高程模型-南非的一个例子

获取原文
获取原文并翻译 | 示例
           

摘要

Digital elevation models (DEM) generated in geographical information systems (G1S) have proven to be useful tools in hydro-logical research, aiding, amongst others, the delineation of catchment areas, identification of drainage patterns and flow pathways as well as for runoff determinations. They are of particular value in areas of comparatively flat topography, where such tasks are often difficult to perform. However, owing to the fact that elevation differences in wetlands typically fall below or just into the range of contour intervals of standard topographic maps being generally 20 m, and 5m for some areas, the latter fail to give enough detail. This means that sufficiently detailed relief information is often difficult to obtain for wetland research. Site-specific, high-resolution relief surveys are too expensive, relative to many research budgets, to constitute a viable alternative. Based on an approximately 12 km~2 study area surrounding a karst-related peatland, this paper presents a method to retrieve the required high-resolution elevation data at 1 m intervals, at low cost, from satellite imagery in Google Earth™. The paper describes procedures used to capture and process the data using G1S ArcDesktop™ to produce a high-resolution contour map and DEM. For quality assurance purposes the generated map is visually compared to 5 m and 20 m contour intervals of standard topographic maps (1:50000) issued by the Chief Directorate Surveys and Mapping (CDSM). After correcting an off-set of 5 m it was found that the deviation of the generated contour map based on Google data from CDSM contours was in the same order as the deviation between the 2 CDSM contour sets. Finally, all 3 contour maps were compared to a contour map of 0.5 m-interval resolution specifically generated for the study area using aerial photography from an airborne survey. This too confirmed the overall good reliability of the generated. Google Earth™-based, contour map. Although Google Earth™'s contour models are based on data of the Shuttle Radar Topography Mission (SRTM), the direct use of freely available SRTM data for localised, high-resolution DEM yielded unsatisfactory results. This may be due to (unspecified) procedures, or unknown data sources employed by Google Earth™ that enhance the quality of relief data. With updating intervals of 2 to 4 years, satellite imagery in Google Earth™ offers the additional advantage of containing much more recent information on relevant hydrologi-cal features than the outdated topographic maps available for the study area. It is concluded that the presented method allows the generation of high-resolution DEIMs especially for areas of flat topography where adequate relief information is either not available or too costly to generate. These DEMs are useful for further wetland research.
机译:事实证明,地理信息系统(G1S)中生成的数字高程模型(DEM)是水文学研究中的有用工具,除其他功能外,还有助于划定集水区,确定排水模式和流路以及确定径流。它们在地形相对平坦的区域中尤其有价值,在这些区域中,此类任务通常很难执行。但是,由于湿地的海拔差异通常低于标准地形图的等高线,或者恰好落入标准地形图的等高线范围内,一般为20 m,而某些地区为5m,后者无法提供足够的细节。这意味着对于湿地研究而言,通常难以获得足够详细的救济信息。相对于许多研究预算,针对特定地点的高分辨率浮雕调查过于昂贵,无法构成可行的替代方案。本文基于围绕喀斯特相关泥炭地的大约12 km〜2研究区域,提出了一种方法,该方法可以从Google Earth™中的卫星图像中以1 m的间隔以低成本检索所需的高分辨率高程数据。本文介绍了使用G1S ArcDesktop™捕获和处理数据以生成高分辨率等高线图和DEM的过程。为了保证质量,将生成的地图与首席局长测量和制图(CDSM)发布的标准地形图(1:50000)的5 m和20 m轮廓间隔进行视觉比较。校正5 m的偏移后,发现基于Google数据从CDSM轮廓生成的轮廓图的偏差与2个CDSM轮廓集之间的偏差的顺序相同。最后,将所有3个等高线图与使用机载勘测的航拍图像专门为研究区域生成的0.5 m间隔分辨率等高线图进行比较。这也证实了所产生的总体良好的可靠性。基于Google Earth™的等高线图。尽管Google Earth™的轮廓模型基于航天飞机雷达地形任务(SRTM)的数据,但是将免费的SRTM数据直接用于本地化的高分辨率DEM却无法获得令人满意的结果。这可能是由于(未指定的)过程或Google Earth™使用的未知数据源提高了救济数据的质量。每隔2到4年更新一次,与可用于研究区域的过时地形图相比,Google Earth™中的卫星图像具有更多的优势,即包含有关水文特征的最新信息。结论是,提出的方法允许生成高分辨率DEIM,特别是对于平坦地形的区域,在这些区域中,没有足够的浮雕信息,或者生成成本太高。这些DEM可用于进一步的湿地研究。

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