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Data analysis of elevation standard deviation classifying geomorphological types

机译:高程标准差分类地貌类型的数据分析

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Relief degree of land surface is an important factor for representing the characteristics of landform. Up to now, unified methods and standards about classifying relief degree of land surface have not been established. The standard deviation of elevation values were calculated from the 1∶50000 scales DEM data over Yangqu county of Taiyuan city, which are then used to describe the relief degree of land surface. Using this method of increasing gird window progressively in ArcMap software, elevation standard deviation values are computed. Data analysis show that 1km×1km statistic unit is better size to make elevation standard deviation classes which are highly consistent with the land use status map which is interpreted from Landsat 7 ETM+ data.
机译:地表的起伏度是代表地貌特征的重要因素。迄今为止,还没有建立统一的地表浮雕度分级方法和标准。根据太原市阳曲县1∶50000比例尺DEM数据计算出高程值的标准差,然后用其来描述地表的起伏程度。使用此方法在ArcMap软件中逐步增加网格窗口,可以计算高程标准偏差值。数据分析表明,1km×1km的统计单位更适合用于制作高程标准偏差类,该类与根据Landsat 7 ETM +数据解释的土地利用状况图高度一致。

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