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典型盐沼植被区数字地形模型的构建
引用本文:卢霞,郭淑艳,刘付程.典型盐沼植被区数字地形模型的构建[J].淮海工学院学报,2011(4):60-64.
作者姓名:卢霞  郭淑艳  刘付程
作者单位:淮海工学院测绘工程学院,江苏连云港222005
基金项目:江苏省高校自然科学研究面上项目(10KJB170001)
摘    要:以连云港北太平庄闸与临洪河口淤泥质海岸带的典型盐沼植被区为研究对象,运用反距离加权法、径向基函数插值法、基于TIN的线性内插法和普通克里格插值法构建研究区数字地形模型,并选用误差平均值、均方根预测误差(RMSE)以及误差可视化模型等指标由点到面地分析构建数字地形模型的精度。结果表明,应用基于TIN的线性内插算法得到的研究区数字地形模型精度最高,平均误差为-0.010,均方根预测误差为0.097。该研究为进一步探讨盐沼植被区盐土植被的类型、群落结构的分布特征与数字地形模型的关系提供了数据支撑和理论基础。

关 键 词:淤泥质海岸  数字地形模型  插值  均方根预测误差

Construction of Digital Elevation Model(DEM) in Typical Salt Marsh Region
LU Xia,GUO Shu-yan,LIU Fu-cheng.Construction of Digital Elevation Model(DEM) in Typical Salt Marsh Region[J].Journal of Huaihai Institute of Technology:Natural Sciences Edition,2011(4):60-64.
Authors:LU Xia  GUO Shu-yan  LIU Fu-cheng
Institution:(School of Geodesy & Geomatics Engineering,Huaihai Institute of Technology,Lianyungang 222005,China)
Abstract:Typical salt marsh region in muddy coast between northern Taipingzhuang and Linhong river estuary of Lianyungang was investigated.Digital elevation model(DEM) was constructed by using Inverse Distance Weighting(IDW),Radial Basis Function(RBF),TIN,and Ordinary Kriging(OK).On this basis,precision indicators included value type and visualization type indicators.Value type indicators mainly had mean of error and root mean square error,while visualization type indicators mainly had prediction scatter plot and validation error scatter plot.The above research indicated that the precision of DEM by TIN interpolation method was the highest,and the mean of error was-0.010 and the root mean square error was 0.097.The study can provide data support and theoretical basis for further discussions on the relationship between the character of salt marsh type and the distribution characteristics of community and digital elevation model.
Keywords:muddy coast  digital elevation model(DEM)  interpolation  root mean square error
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