Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis
Abstract Waterlogging is a significant concern in urban areas and can result in severe disruptions and damage and it’s an urban problem. This study is conducted in Thoothukudi and Tamil Nadu, which are particularly sensitive to waterlogging because of their geographical and meteorological circumstan...
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Discover Sustainability |
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| Online Access: | https://doi.org/10.1007/s43621-025-00843-4 |
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| author | R. J. Jerin Joe V. Stephen Pitchaimani R. Gobinath G. Shyamala |
| author_facet | R. J. Jerin Joe V. Stephen Pitchaimani R. Gobinath G. Shyamala |
| author_sort | R. J. Jerin Joe |
| collection | DOAJ |
| description | Abstract Waterlogging is a significant concern in urban areas and can result in severe disruptions and damage and it’s an urban problem. This study is conducted in Thoothukudi and Tamil Nadu, which are particularly sensitive to waterlogging because of their geographical and meteorological circumstances. Using synthetic aperture radar (SAR) images from 2015 to 2022, topographical analysis, land use/land cover (LULC) data, and geological insights, this research intends to identify and assess areas prone to water logging. The data source for this study comprises rainfall records from the Indian Meteorological Department (IMD), Sentinel-1 SAR imagery, Sentinel-2 multispectral images from the European Space Agency (ESA), and the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM).Terrain analysis was undertaken using DEM to generate elevation, slope, and aspect maps, while SAR data were processed to extract water pixels, which included the extraction of water pixels from SAR data for each year and overlaying them. The overlaid image was correlated with topographic maps to identify the high-risk regions. Key places such as Muthayapuram, Milavittan, Bryant Nagar, and Thalamuthunagar were constantly highlighted as prone to floods. Additionally, the saltpan regions, defined by low-lying water table levels, endure continuous flooding, demonstrating the usefulness of combining SAR imaging with topographic analysis for urban water management. These findings provide useful insights for urban planners and policymakers, underlining the need for deliberate steps to reduce waterlogging, maintain public health, and minimize infrastructure damage, thus enabling sustainable development in Thoothukudi. |
| format | Article |
| id | doaj-art-fa30305c250a45509306473339c74e0b |
| institution | Kabale University |
| issn | 2662-9984 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Sustainability |
| spelling | doaj-art-fa30305c250a45509306473339c74e0b2025-01-26T12:10:40ZengSpringerDiscover Sustainability2662-99842025-01-016111910.1007/s43621-025-00843-4Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysisR. J. Jerin Joe0V. Stephen Pitchaimani1R. Gobinath2G. Shyamala3PG and Research Department of Geology, V.O. Chidambaram CollegePG and Research Department of Geology, V.O. Chidambaram CollegeUniversity Center for Research and Development, Chandigarh UniversitySchool of Engineering, SR UniversityAbstract Waterlogging is a significant concern in urban areas and can result in severe disruptions and damage and it’s an urban problem. This study is conducted in Thoothukudi and Tamil Nadu, which are particularly sensitive to waterlogging because of their geographical and meteorological circumstances. Using synthetic aperture radar (SAR) images from 2015 to 2022, topographical analysis, land use/land cover (LULC) data, and geological insights, this research intends to identify and assess areas prone to water logging. The data source for this study comprises rainfall records from the Indian Meteorological Department (IMD), Sentinel-1 SAR imagery, Sentinel-2 multispectral images from the European Space Agency (ESA), and the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM).Terrain analysis was undertaken using DEM to generate elevation, slope, and aspect maps, while SAR data were processed to extract water pixels, which included the extraction of water pixels from SAR data for each year and overlaying them. The overlaid image was correlated with topographic maps to identify the high-risk regions. Key places such as Muthayapuram, Milavittan, Bryant Nagar, and Thalamuthunagar were constantly highlighted as prone to floods. Additionally, the saltpan regions, defined by low-lying water table levels, endure continuous flooding, demonstrating the usefulness of combining SAR imaging with topographic analysis for urban water management. These findings provide useful insights for urban planners and policymakers, underlining the need for deliberate steps to reduce waterlogging, maintain public health, and minimize infrastructure damage, thus enabling sustainable development in Thoothukudi.https://doi.org/10.1007/s43621-025-00843-4Synthetic aperture radarWater loggingSustainabilitySDG 6SDG 9SDG 11 |
| spellingShingle | R. J. Jerin Joe V. Stephen Pitchaimani R. Gobinath G. Shyamala Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis Discover Sustainability Synthetic aperture radar Water logging Sustainability SDG 6 SDG 9 SDG 11 |
| title | Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis |
| title_full | Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis |
| title_fullStr | Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis |
| title_full_unstemmed | Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis |
| title_short | Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis |
| title_sort | urban waterlogging vulnerability assess using sar imagery and integrated terrain analysis |
| topic | Synthetic aperture radar Water logging Sustainability SDG 6 SDG 9 SDG 11 |
| url | https://doi.org/10.1007/s43621-025-00843-4 |
| work_keys_str_mv | AT rjjerinjoe urbanwaterloggingvulnerabilityassessusingsarimageryandintegratedterrainanalysis AT vstephenpitchaimani urbanwaterloggingvulnerabilityassessusingsarimageryandintegratedterrainanalysis AT rgobinath urbanwaterloggingvulnerabilityassessusingsarimageryandintegratedterrainanalysis AT gshyamala urbanwaterloggingvulnerabilityassessusingsarimageryandintegratedterrainanalysis |