Flood Inundation Mapping Using Sentinel 1A Satelite Data in Major Blocks of Mayiladuthurai District, Tamil Nadu, India
K. Sneka *
Department of Agronomy, AC&RI, TNAU, Coimbatore-641003, Tamil Nadu, India.
S. Pazhanivelan
Centre for Water and Geo Spatial Studies, AC&RI, TNAU, Coimbatore-641003, Tamil Nadu, India.
K. P. Ragunath
Centre for Water and Geo Spatial Studies, AC&RI, TNAU, Coimbatore-641003, Tamil Nadu, India.
M. Raju
Centre for Water and Geo Spatial Studies, AC&RI, TNAU, Coimbatore-641003, Tamil Nadu, India.
A. Suganthi
Department of Agricultural Entomology, AC&RI, TNAU, Coimbatore-641003, Tamil Nadu, India.
S. Satheesh
Department of Remote Sensing and GIS, AC&RI, TNAU, Coimbatore-641003, Tamil Nadu, India.
*Author to whom correspondence should be addressed.
Abstract
A research study was carried out for mapping flood affected areas from Sentinel 1A satellite data in the major blocks of Mayiladuthurai district, Tamil Nadu. A very high-resolution Sentinel 1A satellite data was acquired and processed with GIS tools. Ground truth gathered during the survey were utilized to identify the dB values for flood affected areas, which were then used to classify the flood pixels in the study regions. The flood affected areas of Mayiladuthurai district was found to be 18002 ha during the year 2022. Accuracy assessment and cross validation was done using confusion matrix with the ground truth points collected. The classification resulted with an overall accuracy of 86.2 % area with a Kappa score of 0.72.
Keywords: Flood, area mapping, satellite aperture radar (SAR), software