Sneka, K. and Pazhanivelan, S. and Ragunath, K. P. and Raju, M. and Suganthi, A. and Satheesh, S. (2023) Flood Inundation Mapping Using Sentinel 1A Satelite Data in Major Blocks of Mayiladuthurai District, Tamil Nadu, India. International Journal of Plant & Soil Science, 35 (19). pp. 592-598. ISSN 2320-7035
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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.
Item Type: | Article |
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Subjects: | Research Scholar Guardian > Agricultural and Food Science |
Depositing User: | Unnamed user with email support@scholarguardian.com |
Date Deposited: | 14 Oct 2023 06:01 |
Last Modified: | 14 Oct 2023 06:01 |
URI: | http://science.sdpublishers.org/id/eprint/1785 |