High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Supervised Classification of Nal Sarovar wetland area and Trend Analysis using LISS-III data


Bhavsar Ronit Nalinkumar , L.D.College of engineering; N.P.Singh, L.D.College of Engineering; Indra Prakash, BISAG; Manoj Pandya, BISAG


Supervised classification , LISS-III data, ISODATA, Artificial Neural Network , Soft computing.


This paper classifies wetland of Nal Sarovar by using LISS-III remote sensing data. Taking the Nal Sarovar as study area, LISS-III data of 2013 is used as data source and various classification processes like k-means, ISODATA, Min-Max classifier etc. are utilized. Two types of supervised classification techniques are more efficient and frequently used. These methods are 1) maximum likelihood classification and 2) parallelopiped classification. The paper describes the utilization of accuracy assessment using kappa coefficients.

Other Details

Paper ID: IJSRDV2I3425
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 1736-1742

Article Preview

Download Article