Monitoring the Iran Pol-e-Dokhtar flood extent and detecting its induced ground displacement using sentinel 1 imagery techniques

On 25 March 2019, the Lorestan Province, Iran, suffered a heavy rainstorm. This rainstorm flooded the city of Pol-e-Dokhtar and many villages. To elucidate and monitor the nature of the spatial extent during and after the flood event, and to evaluate flood-induced ground displacement, the time serie...

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Bibliographic Details
Published in:Natural hazards (Dordrecht) 2021-02, Vol.105 (3), p.2603-2617
Main Author: Mehrabi, Ali
Format: Article
Language:English
Subjects:
Civil Engineering
Displacement
Earth and Environmental Science
Earth Sciences
Environmental Management
Environmental risk
Flood control
Flood mapping
Floods
Floodwater
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Ground motion
Heavy rainfall
Hydrogeology
Identification
Imagery
Landslides
Monitoring
Natural Hazards
Original Paper
Rainstorms
Satellite observation
Spatial analysis
Surface velocity
Synthetic aperture radar
Synthetic aperture radar interferometry
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Summary:On 25 March 2019, the Lorestan Province, Iran, suffered a heavy rainstorm. This rainstorm flooded the city of Pol-e-Dokhtar and many villages. To elucidate and monitor the nature of the spatial extent during and after the flood event, and to evaluate flood-induced ground displacement, the time series Sentinel 1 images were analyzed using threshold and SBAS-InSAR techniques. The SAR images were first calibrated, geometrically corrected, and filtered. Then, the threshold method was applied to draw the map of the affected areas. The results showed that flood spatial propagation varies through time. The nature of spatial extent was sinusoidal, so that the flood behavior complied with precipitation periods. Furthermore, the findings of the SBAS-InSAR indicated how an extreme flood can cause ground displacement. Several active movement areas were identified, showing a surface velocity up to −1.1 mm day −1 away from the satellite. The field observations demonstrated that the landslide phenomenon occurred in some of these areas. Therefore, the other identified areas can also be at risk of landslides. Finally, based on the findings, it is evident that SAR data can effectively be used for flood water mapping, flood monitoring, and flood-induced ground displacement.
ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-020-04414-w