Constructing a Comprehensive Tool for Deriving Drainage Network using Semi-Open Source Tools and Comparision on Different DEM Data Sources
Other literature type
Gupta, P. K.
(issn: 2194-9034, eissn: 2194-9034)
Digital elevation model (DEM) provides elevation information in raster format for an area which help in analysis as these phenomena
are gravity depended. Hydrological study requires creation of drainage network map. DEM is the primary input for this process.
Generally 6 or more processes are required to be completed to get the drainage network. These are available in form of hydrology tools
in the ArcGIS software. These processes are manual and time consuming which increases the chances of human error. An automated
process is constructed in this paper which aims to create a tool that can handle multiple files in an intelligent manner.
The input DEM plays a significant role in hydrological studies. This study attempts to do a comparative study to analyse the variation
in the drainage network and the intermediate products with the change in the input DEM.
A tool is created using ArcPy site package in Python programming language to integrate all required hydrology tools. The script is
then used to create a tool in ArcGIS 10 which takes location as an input parameter and perform the process on all the DEM files inside
the directory. The tool creates separate directory for every DEM file and thus reduces the chances of file mismanagement. The proposed
tool is tested on two different datasets namely ASTER GDEM and Cartosat DEM. The tool runs efficiently on both the datasets and
thus provides results to compare the drainage pattern produced by these different data sources.