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Incorporation of Slope and Rainfall Variability in Channel Network Extraction from DEM Data at Basin Scale
Geocarto International ( IF 3.3 ) Pub Date : 2021-02-10 , DOI: 10.1080/10106049.2021.1886340
Vaibhav Kumar 1, 2 , Rahul Kumar Kaushal 1 , Ajay Kumar Taloor 3 , Vikrant Jain 1
Affiliation  

ABSTRACT

This work presents an analytical framework that includes slope and rainfall variability with value of the critical area in defining a threshold for channel initiation processes for the whole river basin. The study overcomes the existing limitation of application of constant threshold for extracting channels throughout the basin by proposing slope and rainfall dependent variable threshold. The proposed algorithm successfully captures the spatial variability in drainage patterns at basin-scale characterized by different topographic characteristics. As basin-scale studies are mostly carried out using coarse-resolution Digital Elevation Model (DEM), this methodology has been developed using SRTM data of 30 m spatial resolution. The resultant drainage pattern was compared with the published map based on field observations, which shows a closer match with field conditions. A front-end application was developed to implement the methods as an end to end process to make user interaction simpler.



中文翻译:

从流域规模的DEM数据中提取渠道网络中的坡度和降雨变异性

摘要

这项工作提出了一个分析框架,其中包括在确定整个流域渠道启动过程的阈值时,临界面积的值包括坡度和降雨的变化性。通过提出与坡度和降雨有关的可变阈值,该研究克服了恒定阈值在整个流域抽取河道的应用存在的局限性。所提出的算法成功地捕获了以地形特征为特征的流域尺度上排水模式的空间变异性。由于流域规模的研究大多使用粗分辨率数字高程模型(DEM)进行,因此该方法是使用30 m空间分辨率的SRTM数据开发的。根据实地观察结果,将得出的排水模式与已发布的地图进行比较,显示与现场条件更接近。开发了一个前端应用程序以将这些方法实现为端到端过程,以简化用户交互。

更新日期:2021-02-10
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