Land use / Land cover changes in Mandya taluk using GIS and remote sensing

Aishwarya S Hanjagi; Shahnin Irfan; P Surendra; Ashok D Hanjagi

doi:10.53989/bu.ge.v8i1.1

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DOI: 10.53989/bu.ge.v8i1.1

Year: 2019, Volume: 8, Issue: 1, Pages: 1-4

Original Article

Land use / Land cover changes in Mandya taluk using GIS and remote sensing

Aishwarya S Hanjagi¹, Shahnin Irfan², P Surendra³, Ashok D Hanjagi⁴

¹ M.Sc. Student, Department of Geography, Bangalore University, Bengaluru, India
² Research Scholar, Department of Geography, Bangalore University, Bengaluru, India
³ Assistant Professor, Department of Geography, Bangalore University, Bengaluru, India
⁴ Professor, Department of Geography, Bangalore University, Bengaluru, India

Received Date:09 February 2019, Accepted Date:12 May 2019

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Land and water are the most keys and pivotal factors for the progress of any region or locality. Land use and land cover transformation have turned out to be a dynamic factor in recent strategies for dealing with natural resources and monitoring environmental changes. The research aimed to analyze and monitor land use/land cover changes in Mandya taluk of Karnataka by using an integrated approach of remote sensing and geographical information system The Mandy taluk satellite data were collected for the years of 1995, 2005, and 2018 and were classified by using a maximum likelihood algorithm, nonparametric parallelepiped classifier in ERDAS Imagine software. Multi-spectral pixels of the study area were classified and mapped into four broad land cover classes i.e., Waterbody, Open space, Agriculture area, and urban or built-up land. Change detection analysis was performed to compare the quantities of land cover class conversions between time intervals. Significant shifts from some classes to others were also observed. The accuracy assessment was computed using user, producer, overall, and Kappa (Khat/K) statistics.

Keywords: Land use/Land Cover, GIS, and remote sensing

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Copyright

© 2019 Hanjagi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Bangalore University, Bengaluru, Karnataka