Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Morphometric Analysis of Kasura River Watershed Using RS and GIS Techniques

Version 1 : Received: 12 December 2023 / Approved: 15 December 2023 / Online: 18 December 2023 (02:07:50 CET)

How to cite: Chaudhari, V.S.; Vikhe, S.D.; Shinde, G.U.; Awari, H.W.; Ingle, V.K. Morphometric Analysis of Kasura River Watershed Using RS and GIS Techniques. Preprints 2023, 2023121189. https://doi.org/10.20944/preprints202312.1189.v1 Chaudhari, V.S.; Vikhe, S.D.; Shinde, G.U.; Awari, H.W.; Ingle, V.K. Morphometric Analysis of Kasura River Watershed Using RS and GIS Techniques. Preprints 2023, 2023121189. https://doi.org/10.20944/preprints202312.1189.v1

Abstract

Remote Sensing and Geographic Information System are recognized as crucial instruments for conducting geographical and geospatial research. RS and GIS technology was employed to assess the morphological Characteristics of the Kasura River Watershed situated within the Parbhani and Jalna Districts of Maharashtra, India. The entire drainage area of the Kasura River basin measures 490.13 square kilometers (km2). Various morphometric characteristic were calculated and examined, encompassing linear features such as stream number, stream order, mean stream length, stream length, and stream length ratio, areal attributes including elongation ratio, circularity ratio, form factor, constant of channel maintenance, drainage density and drainage texture and relief characteristics such as relief, relief ratio, maximum relief, ruggedness number, relative relief, and length of overland flow. These findings underscore the significance of employing morphometric analysis in watershed assessment, offering a quantitative method for characterizing the surface attributes of a drainage pattern and yielding valuable insights into the topography and runoff dynamics of the region.

Keywords

Remote Sensing; GIS; Morphometric Analysis; Kasura River Watershed; Digital Elevation Model

Subject

Environmental and Earth Sciences, Remote Sensing

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