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Morphometric Analysis of Singki River Catchment using Remote Sensing & GIS: Papumpare, Arunachal Pradesh


 
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1. Title Title of document Morphometric Analysis of Singki River Catchment using Remote Sensing & GIS: Papumpare, Arunachal Pradesh
 
2. Creator Author's name, affiliation, country Mahendra S. Lodhi; GB Pant National Institute of Himalayan Environment and Sustainable Development, NE-Unit, Itanagar, India
 
2. Creator Author's name, affiliation, country Masoom Reza; GB Pant National Institute of Himalayan Environment and Sustainable Development, NE-Unit, Itanagar, India
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.32)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Geology; Morphometry; River Catchment; Remote Sensing & GIS
 
4. Description Abstract

River is playing an important role in landform development, its shapes the structure of area. River process is a natural phenomenon supported by many agents such as precipitation. It has participated role in changing river behaviour, rainfall contributes in the volume of water and work as an agent in erosional process. Carrying scientific study to understand the characteristics of the area, river is one of the assets which describe the aspects and phenomenon related to Landforms. With the help of remote sensing & GIS, we can extract all the physical information of river, called morphometric parameters. The Singki river catchment accumulated an area of 79.8 Km2 and has elevation 2353 metre; the rugged and irregular terrain surface shapes Dendritic drainage pattern.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2017-01-05
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-694
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 6 (Year 2017)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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