215
Views
7
CrossRef citations to date
0
Altmetric
Articles

Satellite based mapping and morphogenetic analysis of the landforms in the tertiary fold belts of parts of Tripura, India

, , , , , & show all
Pages 1016-1032 | Received 04 Aug 2014, Accepted 14 Jan 2015, Published online: 23 Mar 2015
 

Abstract

In the present study, satellite-based mapping and morphogenetic analysis of eastern part of Tripura has been attempted. Landforms are delineated based on conjugate analysis of satellite-imaged and satellite-derived digital elevation data. Further, landforms were classified based on hierarchical three-tier classification system where genesis is used as a criteria to classify the landforms in the first level followed by nature of their dissection and the geometric forms of the landform in second and third level, respectively. During the analysis, it has been observed that most of the landforms are structural in origin and their orientations are guided by the geological lineaments although the variations in the dissection pattern of the landforms are related to the changes in the underlying lithology. The implementation of quantitative analysis using hypsometric integral and ruggedness index of geomorphic parameters indicates that the landforms are immature but have been evolving towards maturity.

Acknowledgements

Authors are grateful to Director, NRSC, Deputy Director, RSA, for their support and guidance. First two authors are also grateful to Dr D. Dutta, General Manager, RRSC-East and Chief General Manager, RC’s for their keen interest and support to carry out the work.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.