Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach
Bangladesh’s geography is defined by its extensive river network, comprising around seven hundred rivers that traverse the country. This vast river system is both a key asset and a significant risk, with river erosion displacing over one million individuals annually. Unfortunately, river erosion doe...
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Taylor & Francis Group
2025-01-01
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| Series: | Geology, Ecology, and Landscapes |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/24749508.2025.2451450 |
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| author | Jahid Hasan Md. Alif Uz Zaman Mst Ilme Faridatul |
| author_facet | Jahid Hasan Md. Alif Uz Zaman Mst Ilme Faridatul |
| author_sort | Jahid Hasan |
| collection | DOAJ |
| description | Bangladesh’s geography is defined by its extensive river network, comprising around seven hundred rivers that traverse the country. This vast river system is both a key asset and a significant risk, with river erosion displacing over one million individuals annually. Unfortunately, river erosion does not receive adequate attention from authorities. The study aims to quantify the rates of riverbank erosion and accretion over time, using geospatial approach to provide a comprehensive understanding of the spatiotemporal dynamics of riverbank changes in Chandpur Sadar. We used the USGS’s cloud-free Landsat 4–5 TM and Landsat 8 OLI satellite data, with analyses performed using ENVI 5.1 and ArcGIS 10.8. We used the Modified Normalized Difference Water Index (MNDWI) to find riverbanks and the Digital Shoreline Analysis System (DSAS) to look at changes in banklines. DSAS is a powerful tool for analyzing and understanding spatiotemporal trends in shoreline and riverbank changes, making it indispensable for geospatial studies in dynamic environments. This tool measured distance and rate of change by looking at net shoreline movement (NSM) and end point rate (EPR). Over the past three decades, Chandpur Sadar experienced a bankline shift of 63.98 meters per year, with the maximum erosion (a total land area of 13.32 sq. km) occurring between 1990 and 2000. This research demonstrates the value of implementing an integrated GIS-DSAS tool for spatiotemporal assessment of river erosion trends, aiding policymakers in developing sustainable strategies to mitigate erosion-related losses. |
| format | Article |
| id | doaj-art-b690eea19fde44468bb9d6ce83668759 |
| institution | Kabale University |
| issn | 2474-9508 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geology, Ecology, and Landscapes |
| spelling | doaj-art-b690eea19fde44468bb9d6ce836687592025-01-18T14:05:24ZengTaylor & Francis GroupGeology, Ecology, and Landscapes2474-95082025-01-0111910.1080/24749508.2025.2451450Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approachJahid Hasan0Md. Alif Uz Zaman1Mst Ilme Faridatul2Department of Urban & Regional Planning, Rajshahi University of Engineering & Technology, Rajshahi, BangladeshDepartment of Urban & Regional Planning, Rajshahi University of Engineering & Technology, Rajshahi, BangladeshDepartment of Urban & Regional Planning, Rajshahi University of Engineering & Technology, Rajshahi, BangladeshBangladesh’s geography is defined by its extensive river network, comprising around seven hundred rivers that traverse the country. This vast river system is both a key asset and a significant risk, with river erosion displacing over one million individuals annually. Unfortunately, river erosion does not receive adequate attention from authorities. The study aims to quantify the rates of riverbank erosion and accretion over time, using geospatial approach to provide a comprehensive understanding of the spatiotemporal dynamics of riverbank changes in Chandpur Sadar. We used the USGS’s cloud-free Landsat 4–5 TM and Landsat 8 OLI satellite data, with analyses performed using ENVI 5.1 and ArcGIS 10.8. We used the Modified Normalized Difference Water Index (MNDWI) to find riverbanks and the Digital Shoreline Analysis System (DSAS) to look at changes in banklines. DSAS is a powerful tool for analyzing and understanding spatiotemporal trends in shoreline and riverbank changes, making it indispensable for geospatial studies in dynamic environments. This tool measured distance and rate of change by looking at net shoreline movement (NSM) and end point rate (EPR). Over the past three decades, Chandpur Sadar experienced a bankline shift of 63.98 meters per year, with the maximum erosion (a total land area of 13.32 sq. km) occurring between 1990 and 2000. This research demonstrates the value of implementing an integrated GIS-DSAS tool for spatiotemporal assessment of river erosion trends, aiding policymakers in developing sustainable strategies to mitigate erosion-related losses.https://www.tandfonline.com/doi/10.1080/24749508.2025.2451450Meghna riverLandsat imageryspatiotemporal analysisriverbank accretionDSAS |
| spellingShingle | Jahid Hasan Md. Alif Uz Zaman Mst Ilme Faridatul Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach Geology, Ecology, and Landscapes Meghna river Landsat imagery spatiotemporal analysis riverbank accretion DSAS |
| title | Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach |
| title_full | Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach |
| title_fullStr | Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach |
| title_full_unstemmed | Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach |
| title_short | Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach |
| title_sort | assessing spatiotemporal trends of riverbank erosion using a gis dsas based integrated approach |
| topic | Meghna river Landsat imagery spatiotemporal analysis riverbank accretion DSAS |
| url | https://www.tandfonline.com/doi/10.1080/24749508.2025.2451450 |
| work_keys_str_mv | AT jahidhasan assessingspatiotemporaltrendsofriverbankerosionusingagisdsasbasedintegratedapproach AT mdalifuzzaman assessingspatiotemporaltrendsofriverbankerosionusingagisdsasbasedintegratedapproach AT mstilmefaridatul assessingspatiotemporaltrendsofriverbankerosionusingagisdsasbasedintegratedapproach |