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Quantitative Morphometric Analysis of Bhadar River Basin, India using ASTER (GDEM) Data and GIS


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Quantitative Morphometric Analysis of Bhadar River Basin, India using ASTER (GDEM) Data and GIS
 
2. Creator Author's name, affiliation, country Vishnu Dayal; Department of Civil Engineering, MANIT, Bhopal, Madhya Pradesh, India
 
2. Creator Author's name, affiliation, country Jyoti Sarup; Department of Civil Engineering, MANIT, Bhopal, Madhya Pradesh, India
 
3. Subject Discipline(s) GEOINFORMATICS; GIS; REMOTE SENSING; CIVIL ENGINEERING
 
3. Subject Keyword(s) Geographical Information System; Morphometric Analysis; ASTER GDEM; Bhadar River Basin
 
3. Subject Subject classification EARTH SCIENCE; HYDROLOGY
 
4. Description Abstract

The present study highlights the morphometric parameters of Bhadar River, located in state of Gujarat, India. In this study, ASTER Global Digital Elevation Model (GDEM) and Geographical Information System (GIS) have been taken to evaluate Linear and Areal aspects of different morphometric parameters using ArcGIS software. The study is mainly focused on morphometric analysis which revealed that the Bhadar River Basin is from first to seventh orders with dendritic type of drainage pattern. The results show that the drainage density of the Basin has been obtained low which indicates drainage texture is very coarse in nature. The result of Elongation ratio explore that the Basin is less elongated. Bifurcation ratio values of Bhadar River Basin have experience minimum structural disturbances.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) Dr. JYOTI SARUP, ASSOCIATE PROFESSOR, MANIT BHOPAL
 
7. Date (YYYY-MM-DD) 2015-08-28
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type QUANTITATIVE MORPHOMETRIC ANALYSIS
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-434
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 4 (Year 2015)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions

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