Automatic extraction of watershed characteristics using spatial analysis techniques with application to groundwater mapping
Automatic extraction of watershed characteristics using spatial analysis techniques with application to groundwater mapping
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DOI：
10.1016/0022-1694(95)02717-4
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发表时间：
1995-12
影响因子：
6.4
通讯作者：
Christopher P. Benosky;C. Merry
中科院分区：
文献类型：
--
作者：
Christopher P. Benosky;C. Merry
空间分析技术使用基于栅格的图像处理系统，从数字高程模型中导出流域的几何和形态特征。分水岭数据层覆盖了华盛顿州喀斯喀特山脉两个7 - 1 ' 2四边形的数字土壤信息。然后将数据层与地下水预测模型相结合，并根据数字数据集编制地下水位带图。这些信息可用于滑坡灾害预测中边坡稳定性的评估。
Spatial analysis techniques were developed using a raster-based image processing system to derive geometric and morphologic characteristics of watersheds from a digital elevation model. The watershed data layers were overlaid with digital soils information for two 7 1′ 2 quadrangles in the Cascade Mountains of Washington. The data layers were then integrated with a ground-water prediction model and maps of groundwater level zones were prepared from the digital data sets. This information can be useful in assessing the stability of slopes in landslide hazard prediction.