人民长江

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基于流域八叉树的地形因子提取方法研究

张宏鸣,王岩泽,杨勤科,常毅,任洁,董良   

  • 出版日期:2020-05-28 发布日期:2020-05-28

Study on topographic factor extraction method based on watershed octree

ZHANG Hongming, WANG Yanze, YANG Qinke, CHANG Yi, REN Jie, DONG Liang   

  • Online:2020-05-28 Published:2020-05-28

摘要: 地形是影响土壤侵蚀的重要因子,在估算模型中常用坡度和坡长来对其进行衡量。区域尺度上多基于DEM提取地形因子,但随着DEM数据精度的不断提高,数据量不断增大,海量数据的计算能力要求成为制约地形因子提取在区域尺度上应用的关键。为了进一步提高地形因子的提取效率,基于流域八叉树构建了水流路径,集成了流向、汇水及坡长提取过程,有效地减少了冗余遍历,简化了计算流程。实验结果表明:相较于传统的扫描式遍历,该方法的计算结果准确率较高,而且有效地的提高了计算效率,进一步增强了模型的可用性。

关键词: 地形因子提取, 数字高程模型, 坡度坡长因子, 流域八叉树结构, 效率优化

Abstract: Topography is an important factor affecting soil erosion, which is usually measured by slope gradient and slope length in the estimation model. Topographic factors can be extracted by using DEM on regional scale. With the improvement of DEM data accuracy and the increase of data, the computing capacity for large amounts data has become the constraint on the topographic factor extraction on regional scale. To improve the efficiency of topographic factor extraction, the flow path was recorded and the integrated extraction process for flow direction, catchment and slope length were constructed by watershed octree. The experiment results indicated that this method could significantly reduce the redundant traversal and simplify the calculation. Compared with the traditional scanning traversal method, this method has higher accuracy and computational efficiency.

Key words: topographic factors extraction method, Digital Elevation Model(DEM), slope length and slope steepness factor(LS factor), watershed octree, efficiency optimization;