.

ISSN 2063-5346
For urgent queries please contact : +918130348310

MINING AND RECOGNITION OF SURFACE WATER AREA OVER NAGARJUNA SAGAR RESERVOIR AND CHILIKA LAKE

Main Article Content

B. Chandrababu Naik, B. Lalitha, B. Ravi Kumar, K. Sai Venu Prathap, M. Murali Naik
» doi: 10.31838/ecb/2023.12.s3.111

Abstract

Today’s recent application for extraction and detection of spreading surface water area is done by remote sensing Landsat-7(ETM+) satellite images data. The main objective of this proposed method is to analysis for change detection of Land Use / Land Cover (LU/LC) in Nagarjuna Sagar Reservoirs and Chilika Lake which is located in India. The change detection analysis was done to Nagarjuna Sagar Reservoir and Chilika Lake for the period from January (2008 – 2018). The multi-spectral and temporal Landsat-7 (ETM+) dataset were used for analysis of change detection. The focal analysis algorithm is applied for recovery of 22%-pixel information that has lost in the Landsat-7 (ETM+) on May 31, 2003 and obtained the required image (complete image) for removing all the strips (gaps). Image differencing algorithm is applied to obtain change detection of surface water area of Nagarjuna Sagar Reservoir and Chilika Lake. The Performance analysis of accuracy assessment was done to the output image (differencing algorithm) and ground truth data.

Article Details