【24h】

Mapping of landscape roughness in Carpathian region

机译:喀尔巴阡山区景观粗糙度的绘图

获取原文

摘要

The work is devoted to the quantitative calculation of surface roughness on the basis of SRTM digital elevation models (DEMs) using Python programming language. We used three methods for calculating the surface roughness: standard deviation of elevation, median differential slope and standard deviation of differential slope. We compare the effectiveness of the last two methods for baselines 2 and 8 pixels, the distance between the points 60 and 240 m, respectively. The results of the research are maps of roughness of the Earth's surface on different scales.
机译:使用Python编程语言,在SRTM数字高度模型(DEMS)的基础上致力于定量计算表面粗糙度的定量计算。我们使用了三种计算表面粗糙度的方法:高程标准偏差,中值差分斜率和差分斜率的标准偏差。我们比较基线2和8像素的最后两种方法的有效性,点60和240m之间的距离。研究结果是地球表面在不同尺度上的粗糙度映射。

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