Assessing riverbank erosion in Bangladesh using time series of Sentinel-1 radar imagery in the Google Earth Engine
<p>Riverbank erosion occurs along many of the Earth's river systems, affecting riverine populations by destroying agricultural land and housing. In this study, we detected past events of riverbank erosion along the Jamuna River in Bangladesh using time series of Sentinel-1 satellite radar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-02-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://nhess.copernicus.org/articles/23/751/2023/nhess-23-751-2023.pdf |
| Summary: | <p>Riverbank erosion occurs along many of the Earth's river systems, affecting riverine populations by destroying agricultural land and housing. In this study, we detected past events of riverbank erosion along the Jamuna River in Bangladesh using time series of Sentinel-1 satellite radar imagery, ground-range-detected (GRD) data with a 12 d revisit cycle, available in
the Google Earth Engine (GEE). Eroded land is detected by performing a land
cover classification and by detecting land cover changes from vegetated
areas before the monsoon to sand or water after the monsoon. Further,
settlements are detected as persistent scatterers and classified as eroded
if they are located on eroded land. We found that with Sentinel-1 data,
erosion locations can be determined already 1 month after the end of the
monsoon and hence potentially earlier than using optical satellite images
which depend on cloud-free daylight conditions. Further, we developed an
interactive GEE-based online tool allowing the user to explore where
riverbank erosion has destroyed land and settlements along the Jamuna in
five monsoon seasons (2015–2019). The source code of our implementation is
publicly available, providing the opportunity to reproduce the results, to
adapt the algorithm and to transfer our results to assess riverbank erosion
in other geographical settings.</p> |
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| ISSN: | 1561-8633 1684-9981 |