Morphometric Analysis of Gostani River Basin Using Remote Sensing & GIS

Paper Details
Manuscript ID: 2125-0731-7715
Vol.: 1 Issue: 7 Pages: 7-13 Nov - 2025 Subject: Geology And Geophysics Language: English
ISSN: 3068-1995 Online ISSN: 3068-109X DOI: https://doi.org/10.64823/ijter.2507002
Abstract

The morphometric analysis of a river basin provides critical insights into its hydrological and geomorphological characteristics, essential for effective watershed management and planning. This study presents a detailed morphometric analysis of the Gostani River Basin using Remote Sensing (RS) and Geographic Information System (GIS) techniques. High-resolution satellite imagery and topographic data, including Digital Elevation Models (DEMs), were utilized to extract drainage networks and basin boundaries. Key linear, areal, and relief morphometric parameters such as stream order, bifurcation ratio, drainage density, stream frequency, elongation ratio, and relief ratio were computed using GIS tools. The results reveal that the Gostani River Basin exhibits dendritic drainage patterns, moderate drainage density, and a sub-mature stage of geomorphic development, indicating semi-permeable sub-surface material and moderate to low relief. The analysis highlights the usefulness of RS and GIS in deriving accurate and comprehensive morphometric parameters, facilitating better understanding of basin dynamics for sustainable water resource management and environmental planning.

Keywords
Morphometric analysis Remote Sensing (RS) Geographic Information System (GIS) Gostani River Basin Drainage characteristics
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Cite this Article

Dr. Kiran Jalem, Nandita Chowdhury, Debasish Samanta, Dinesh Mondal (2025). Morphometric Analysis of Gostani River Basin Using Remote Sensing & GIS. International Journal of Technology & Emerging Research (IJTER), 1(7), 7-13. https://doi.org/10.64823/ijter.2507002

BibTeX
@article{ijter2025212507317715,
  author = {Dr. Kiran Jalem and Nandita Chowdhury and Debasish Samanta and Dinesh Mondal},
  title = {Morphometric Analysis of Gostani River Basin Using Remote Sensing & GIS},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2025},
  volume = {1},
  number = {7},
  pages = {7-13},
  doi =  {10.64823/ijter.2507002},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212507317715/morphometric-analysis-of-gostani-river-basin-using-remote-sensing-gis},
  abstract = {The morphometric analysis of a river basin provides critical insights into its hydrological and geomorphological characteristics, essential for effective watershed management and planning. This study presents a detailed morphometric analysis of the Gostani River Basin using Remote Sensing (RS) and Geographic Information System (GIS) techniques. High-resolution satellite imagery and topographic data, including Digital Elevation Models (DEMs), were utilized to extract drainage networks and basin boundaries. Key linear, areal, and relief morphometric parameters such as stream order, bifurcation ratio, drainage density, stream frequency, elongation ratio, and relief ratio were computed using GIS tools. The results reveal that the Gostani River Basin exhibits dendritic drainage patterns, moderate drainage density, and a sub-mature stage of geomorphic development, indicating semi-permeable sub-surface material and moderate to low relief. The analysis highlights the usefulness of RS and GIS in deriving accurate and comprehensive morphometric parameters, facilitating better understanding of basin dynamics for sustainable water resource management and environmental planning.},
  keywords = {Morphometric analysis, Remote Sensing (RS), Geographic Information System (GIS), Gostani River Basin, Drainage characteristics},
  month = {Nov},
}
Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.