Enhancing Flood Area Mapping Accuracy Using Advanced SAR Data Processing

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dc.contributor.authorPazhanivelan, Sen_US
dc.contributor.authorRagunath, KPen_US
dc.contributor.authorSudarmanian, Nen_US
dc.contributor.authorSatheesh, Sen_US
dc.contributor.authorSneka, K.en_US
dc.date.accessioned2025-05-09T09:27:36Z
dc.date.available2025-05-09T09:27:36Z
dc.date.issued2024-12
dc.description.abstractAim: To assess the spatial distribution of floods in 2024 using remote sensing data, specifically Synthetic Aperture Radar (SAR), a powerful tool in flood monitoring and mapping due to its ability to capture data under all weather conditions, including rain and cloud cover provides high-resolution imagery suitable for identifying and analyzing flood extents.  Study Area and Duration: North-Eastern districts of Tamil Nadu viz., Tiruvannamalai, Ranipet, Chengalpat, Kancheepuram, Tiruvallur, Viluppuram, Cuddalore, Nagapattinam, Thanjavur, Tiruvarur, Kallakurichi and Mayiladuthurai. Methodology: Flood mapping uses imagery collected from the European Space Agency's (ESA) Sentinel-1A satellite to identify and map flooded regions. Flood mapping receives assistance from this satellite's C-band SAR sensor, which can capture images in any weather condition without affecting the data. Results: The flood vulnerability assessment using Sentinel-1A satellite data has provided critical insights into the extent and impact of flooding across Tamil Nadu in 2024. With a total of 90,369 hectares of agricultural land affected, the study highlights the urgency of implementing targeted flood management strategies. 350 ground truth points were collected, out of which 309 points coincided with the flood-affected areas. Among these 309 points, 214 were flood points and 95 were non-flood points. The overall accuracy of the results was 90.00 per cent. The producer and user accuracy for flood-affected areas was 92.10 per cent and 93.40 per cent, respectively. The producer and user accuracy for non-flood areas. was 85.30 per cent and 82.70 per cent with Kappa index of 0.80. Conclusion: These findings underscore the importance of integrating advanced remote sensing technologies with ground-level data to better understand flood dynamics and provides a foundation for sustainable disaster risk management and resource allocation, ensuring long-term agricultural and environmental security in Tamil Nadu.en_US
dc.identifier.affiliationsCentre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsCentre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsCentre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsDepartment of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore, Indiaen_US
dc.identifier.affiliationsCentre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, India.en_US
dc.identifier.citationPazhanivelan S, Ragunath KP, Sudarmanian N, Satheesh S, Sneka K.. Enhancing Flood Area Mapping Accuracy Using Advanced SAR Data Processing . International Journal of Environment and Climate Change. 2024 Dec; 14(12): 783-799en_US
dc.identifier.issn2581-8627
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/244660
dc.languageenen_US
dc.publisherMs. M. B. Mondalen_US
dc.relation.issuenumber12en_US
dc.relation.volume14en_US
dc.source.urihttps://doi.org/10.9734/ijecc/2024/v14i124662en_US
dc.subjectFlood affected areasen_US
dc.subjectrainfallen_US
dc.subjectsentinel 1A satellite data and SAR dataen_US
dc.titleEnhancing Flood Area Mapping Accuracy Using Advanced SAR Data Processingen_US
dc.typeJournal Articleen_US
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