DOI: | 10.1007/s11069-020-04414-w
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论文题名: | Monitoring the Iran Pol-e-Dokhtar flood extent and detecting its induced ground displacement using sentinel 1 imagery techniques |
作者: | Mehrabi A.
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刊名: | Natural Hazards
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ISSN: | 0921030X
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出版年: | 2021
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卷: | 105, 期:3 | 起始页码: | 2603
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结束页码: | 2617
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语种: | 英语
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中文关键词: | Flood extent
; Ground displacement
; Iran
; Pol-e-dokhtar flooding
; SBAS-InSAR method
; Threshold method
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英文关键词: | displacement
; flood forecasting
; flood frequency
; flooding
; ground movement
; Sentinel
; spatial analysis
; synthetic aperture radar
; threshold
; Iran
; Lorestan
; Pol Dokhtar
; Varanidae
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英文摘要: | 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. © 2020, Springer Nature B.V. |
Citation statistics: |
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资源类型: | 期刊论文
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标识符: | http://119.78.100.158/handle/2HF3EXSE/169217
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Appears in Collections: | 气候变化与战略
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作者单位: | Department of Geography, Faculty of Literature and Humanities, Shahid Bahonar University of Kerman, Kerman, Iran
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Recommended Citation: |
Mehrabi A.. Monitoring the Iran Pol-e-Dokhtar flood extent and detecting its induced ground displacement using sentinel 1 imagery techniques[J]. Natural Hazards,2021-01-01,105(3)
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