Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data
Riverbank erosion in Bangladesh is a significant hazard, recurring annually and causing loss of homes, land, and livelihoods. Each year, thousands of people are displaced as a result. Given the urgency of mitigating extreme erosion and preventing further displacement, it is imperative to accurately...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer International Publishing
2024
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| Online Access: | https://hdl.handle.net/1721.1/156702 |
| _version_ | 1824457901151879168 |
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| author | Islam, Md S. Mitra, Juthi R. |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Islam, Md S. Mitra, Juthi R. |
| author_sort | Islam, Md S. |
| collection | MIT |
| description | Riverbank erosion in Bangladesh is a significant hazard, recurring annually and causing loss of homes, land, and livelihoods. Each year, thousands of people are displaced as a result. Given the urgency of mitigating extreme erosion and preventing further displacement, it is imperative to accurately quantify the magnitude and severity of this phenomenon. With an aim to assess the spatiotemporal changes in riverbank erosion and its impact on population displacement, this study used multi-temporal Landsat imagery from 1990 to 2020. To evaluate the impact of riverbank movement on population displacement, this study utilized gridded population data. The analysis revealed that the region has experienced extreme erosion over the past three decades, with the central region exhibiting the highest erosion rates (-128.5 m/year). More than 50% of transects are experiencing high erosion rates (> 50 m/year). The analysis also revealed that over three decades, more than 11% of transects experience continuous erosion, with the central region being the most affected (44%). Additionally, findings indicate that thousands of individuals have been displaced due to severe erosion. The insights gained from this study will help policymakers in formulating effective mitigation and adaptation strategies tailored to the unique challenges of this region. |
| first_indexed | 2024-09-23T08:43:03Z |
| format | Article |
| id | mit-1721.1/156702 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2025-02-19T04:17:21Z |
| publishDate | 2024 |
| publisher | Springer International Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1567022024-12-23T06:09:53Z Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data Islam, Md S. Mitra, Juthi R. Massachusetts Institute of Technology. Media Laboratory Riverbank erosion in Bangladesh is a significant hazard, recurring annually and causing loss of homes, land, and livelihoods. Each year, thousands of people are displaced as a result. Given the urgency of mitigating extreme erosion and preventing further displacement, it is imperative to accurately quantify the magnitude and severity of this phenomenon. With an aim to assess the spatiotemporal changes in riverbank erosion and its impact on population displacement, this study used multi-temporal Landsat imagery from 1990 to 2020. To evaluate the impact of riverbank movement on population displacement, this study utilized gridded population data. The analysis revealed that the region has experienced extreme erosion over the past three decades, with the central region exhibiting the highest erosion rates (-128.5 m/year). More than 50% of transects are experiencing high erosion rates (> 50 m/year). The analysis also revealed that over three decades, more than 11% of transects experience continuous erosion, with the central region being the most affected (44%). Additionally, findings indicate that thousands of individuals have been displaced due to severe erosion. The insights gained from this study will help policymakers in formulating effective mitigation and adaptation strategies tailored to the unique challenges of this region. 2024-09-11T18:28:09Z 2024-09-11T18:28:09Z 2024-09-05 2024-09-08T03:08:34Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/156702 Islam, M.S., Mitra, J.R. Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data. Earth Syst Environ (2024). PUBLISHER_CC en https://doi.org/10.1007/s41748-024-00460-7 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer International Publishing Springer International Publishing |
| spellingShingle | Islam, Md S. Mitra, Juthi R. Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data |
| title | Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data |
| title_full | Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data |
| title_fullStr | Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data |
| title_full_unstemmed | Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data |
| title_short | Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data |
| title_sort | quantification of historical riverbank erosion and population displacement using satellite earth observations and gridded population data |
| url | https://hdl.handle.net/1721.1/156702 |
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