Study of linear aspects of morphometric parameters in parts of TAPI river basin, Madhya Pradesh, India using remote sensing and GIS perspective
Author(s): Sharaddeep and DC Gupta
Abstract: Remote Sensing technique is a method for basin study as the satellite images provide a synoptic view over a large area. Digital Elevation Model (DEM) in the field of GIS provides the three-dimension assessment of the earth surface. Morphometric analysis provides a quantitative description of drainage system. Morphometric analysis such as linear aspects in part of Tapi river basin covering Madhya Pradesh and some part of Maharashtra was carried out by using geoprocessing techniques. These techniques were used for extraction of river basin and its drainage network. Carto DEM data and ArcGIS software were used for the extraction of drainage and the Morphometric parameters and classified based on the formula suggested by Strahler (1964)
[19]. The analysis of linear aspects of drainage basin reveals that the basin has mostly dendritic to sub dendritic drainage pattern with 7
th order stream while 1
st order streams are mostly controlling the basin. The Carto DEM was utilized to automatically identify and extract drainage network. Five types of drainage patterns were identified: dendritic, parallel, rectangular, trellis, and modified dendritic/trellis.
Study conclude that remote sensing data (Carto DEM of 30 m spatial resolution) along with geoprocessing techniques proven to be a tool used for morphometric analysis and evolution of linear aspects of morphometric parameters. Bifurcation ratio of basin (1.54 to 5.32) showing that geologic structures moderately controlled the drainage pattern. Length of overland flow of the basin (0.209 Km) usually low and indicates that basin is showing high relief and slope.
Pages: 131-135 | Views: 832 | Downloads: 243Download Full Article: Click HereHow to cite this article:
Sharaddeep, DC Gupta. Study of linear aspects of morphometric parameters in parts of TAPI river basin, Madhya Pradesh, India using remote sensing and GIS perspective. Int J Geogr Geol Environ 2020;2(2):131-135.
