Articles | Volume 23, issue 2
https://doi.org/10.5194/nhess-23-751-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-751-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Feb 2023
Research article |
| 21 Feb 2023
| 21 Feb 2023
Assessing riverbank erosion in Bangladesh using time series of Sentinel-1 radar imagery in the Google Earth Engine
Jan Freihardt
CORRESPONDING AUTHOR
Center for Comparative and International Studies (CIS), ETH Zurich,
8092 Zurich, Switzerland
Othmar Frey
Institute of Environmental Engineering, ETH Zurich, 8093 Zurich,
Switzerland
Gamma Remote Sensing, 3073 Gümligen, Switzerland
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Cited
16 citations as recorded by crossref.
- Fluvio-geomorphic change of the Padma-Meghna river course using the NDWI and MNDWI techniques F. Hossain et al. 10.1080/23570008.2024.2344752
- Risk assessment of river bank failure due to floods in Jamuna, Ganges and Padma Rivers in Bangladesh M. Islam & T. Tingsanchali 10.1016/j.ijdrr.2024.104272
- Assessing Meghna Riverbank dynamics and morphological changes in Bangladesh using geospatial techniques M. Sultana et al. 10.1007/s12518-025-00620-y
- High spatiotemporal-resolution mapping for a seasonal erosion flooding inundation using time-series Landsat and MODIS images J. Zhu et al. 10.1038/s41598-024-53552-9
- Combined Impact of Climate Change, Local Hazards, and COVID-19 Increases Child Marriage Risks in Char Land Communities of Northern Bangladesh M. Jibon et al. 10.1007/s40609-025-00385-7
- Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms N. Bhuyan et al. 10.1016/j.catena.2023.107581
- A large-scale riverbank erosion risk assessment model integrating multi-source data and explainable artificial intelligence (XAI) Z. Ren et al. 10.1016/j.ecolind.2024.112575
- Combining earth observations with ground data to assess river topography and morphologic change: Case study of the lower Jamuna River N. Valsangkar et al. 10.1016/j.jag.2024.104146
- Environmental change and migration aspirations: Evidence from Bangladesh L. Rudolph et al. 10.1016/j.gloenvcha.2025.102966
- Perceptions of environmental changes among a climate-vulnerable population from Bangladesh J. Freihardt 10.1007/s10584-024-03678-6
- MONITORING METHOD OF RIVER MORPHOLOGY AROUND RIVER STRUCTURE USING ESTIMATED ELEVATION WITH SATELLITE IMAGES AND OBSERVED RIVER WATER LEVEL M. TSUDA & Y. KURIHARA 10.2208/jscejj.23-16067
- Environmental shocks and migration among a climate-vulnerable population in Bangladesh J. Freihardt 10.1007/s11111-025-00478-7
- Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data M. Islam & J. Mitra 10.1007/s41748-024-00460-7
- Monitoring Sustainable Development Goal Indicator 15.3.1 on Land Degradation Using SEPAL: Examples, Challenges and Prospects A. Ghosh et al. 10.3390/land13071027
- Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach J. Hasan et al. 10.1080/24749508.2025.2451450
- Rapid Assessment of 2022 Floods around the UNESCO Site of Mohenjo-Daro in Pakistan by Using Sentinel and Planet Labs Missions A. Hegyi & A. Agapiou 10.3390/su15032084
15 citations as recorded by crossref.
- Fluvio-geomorphic change of the Padma-Meghna river course using the NDWI and MNDWI techniques F. Hossain et al. 10.1080/23570008.2024.2344752
- Risk assessment of river bank failure due to floods in Jamuna, Ganges and Padma Rivers in Bangladesh M. Islam & T. Tingsanchali 10.1016/j.ijdrr.2024.104272
- Assessing Meghna Riverbank dynamics and morphological changes in Bangladesh using geospatial techniques M. Sultana et al. 10.1007/s12518-025-00620-y
- High spatiotemporal-resolution mapping for a seasonal erosion flooding inundation using time-series Landsat and MODIS images J. Zhu et al. 10.1038/s41598-024-53552-9
- Combined Impact of Climate Change, Local Hazards, and COVID-19 Increases Child Marriage Risks in Char Land Communities of Northern Bangladesh M. Jibon et al. 10.1007/s40609-025-00385-7
- Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms N. Bhuyan et al. 10.1016/j.catena.2023.107581
- A large-scale riverbank erosion risk assessment model integrating multi-source data and explainable artificial intelligence (XAI) Z. Ren et al. 10.1016/j.ecolind.2024.112575
- Combining earth observations with ground data to assess river topography and morphologic change: Case study of the lower Jamuna River N. Valsangkar et al. 10.1016/j.jag.2024.104146
- Environmental change and migration aspirations: Evidence from Bangladesh L. Rudolph et al. 10.1016/j.gloenvcha.2025.102966
- Perceptions of environmental changes among a climate-vulnerable population from Bangladesh J. Freihardt 10.1007/s10584-024-03678-6
- MONITORING METHOD OF RIVER MORPHOLOGY AROUND RIVER STRUCTURE USING ESTIMATED ELEVATION WITH SATELLITE IMAGES AND OBSERVED RIVER WATER LEVEL M. TSUDA & Y. KURIHARA 10.2208/jscejj.23-16067
- Environmental shocks and migration among a climate-vulnerable population in Bangladesh J. Freihardt 10.1007/s11111-025-00478-7
- Quantification of Historical Riverbank Erosion and Population Displacement Using Satellite Earth Observations and Gridded Population Data M. Islam & J. Mitra 10.1007/s41748-024-00460-7
- Monitoring Sustainable Development Goal Indicator 15.3.1 on Land Degradation Using SEPAL: Examples, Challenges and Prospects A. Ghosh et al. 10.3390/land13071027
- Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach J. Hasan et al. 10.1080/24749508.2025.2451450
Latest update: 28 Mar 2025
Short summary
In Bangladesh, riverbank erosion occurs every year during the monsoon and affects thousands of households. Information on locations and extent of past erosion can help anticipate where erosion might occur in the upcoming monsoon season and to take preventive measures. In our study, we show how time series of radar satellite imagery can be used to retrieve information on past erosion events shortly after the monsoon season using a novel interactive online tool based on the Google Earth Engine.
In Bangladesh, riverbank erosion occurs every year during the monsoon and affects thousands of...
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