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Redefining the watershed line and stream networks via digital resources and topographic map using GIS and remote sensing (case study: the Neka River's watershed)

机译:使用GIS和遥感技术通过数字资源和地形图重新定义分水岭线和河流网络(案例研究:内卡河分水岭)

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The accurate delineation of area plays a key role in the surveying of land change detection and the classification of land covers. In a hydrologic system, the watershed delineation and the detection of the boundaries among watershed is a basic method for performing spatial analyses. After recent advances in image processing and raster-based spatial analysis in geographic information systems, and being easily accessible data via various sources especially through remote sensing, the reliable determination of topographical boundaries possible is possible. Therefore, an integrated approach of data analysis and modeling can accomplish the task of delineation. The main aim in this research is to evaluate the delineation method of watershed boundary using four different digital elevation models (DEM) including advanced spaceborne thermal emission and reflection radiometer (ASTER), Shuttle Radar Topographic Mission (SRTM), digital topography, and topographic maps. In order to determine a true reference of boundary of watershed, sample data were also obtained by field survey and using global positioning system (GPS). The comparison reference points and the results of these data showed the average distance difference between reference boundary, and the result of ASTER data was 43 m. However, the average distance between GPS reference and the other data was high; the difference between the reference data and SRTM was 307 m, and for digital topographic map, it was 269 m. The average distance between topographic map and the GPS points differed 304 m as well. For the statistical analysis of comparison, the coordinates of 230 points were determined; the paired comparisons were also performed to measure the coefficient of determination, R (2), as well as analysis of variance in SPSS software. As a result, the R (2) values for the ASTER data with the digital topography and topographic map were 0.0157 and 0.171, respectively. The results showed that there were statistically significant differences in distances among the four means of the selected models. Therefore, considering other three methods, the ASTER DEM is the most suitable applicable data to delineate the borders of watersheds, especially in rugged terrains. In addition, the calculated flow directions of stream based on ASTER are close to natural tributaries as well as real positions of streams.
机译:区域的精确划定在土地变化检测调查和土地覆被分类中起着关键作用。在水文系统中,分水岭划界和分水岭之间边界的检测是进行空间分析的基本方法。在地理信息系统中图像处理和基于栅格的空间分析方面取得了最新进展,并且可以通过各种来源(尤其是通过遥感)轻松访问数据之后,可能可靠地确定地形边界。因此,数据分析和建模的集成方法可以完成描述任务。本研究的主要目的是使用四种不同的数字高程模型(DEM)评估流域边界的划定方法,包括先进的星载热发射和反射辐射计(ASTER),航天飞机雷达地形任务(SRTM),数字地形和地形图。为了确定流域边界的真实参考,还通过现场调查和使用全球定位系统(GPS)获得了样本数据。比较参考点和这些数据的结果显示参考边界之间的平均距离差,ASTER数据的结果为43 m。但是,GPS参考与其他数据之间的平均距离很高;参考数据与SRTM之间的差为307 m,而数字地形图为269 m。地形图和GPS点之间的平均距离也相差304 m。为了进行比较的统计分析,确定了230个点的坐标;配对比较还用于测量确定系数R(2),以及SPSS软件中的方差分析。结果,具有数字地形和地形图的ASTER数据的R(2)值分别为0.0157和0.171。结果表明,所选模型的四种方法之间的距离存在统计学差异。因此,考虑其他三种方法,ASTER DEM是最合适的适用数据来勾勒流域的边界,尤其是在崎terrain的地形中。此外,基于ASTER计算的流的流向接近自然支流以及流的实际位置。

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