干旱区生态环境知识资源中心(Arid): Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan

Arid

DOI	10.3390/rs14153647
	Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan
	Atefi, Mujeeb Rahman; Miura, Hiroyuki
通讯作者	Atefi, MR
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:15
英文摘要	On 26 August 2020, a devastating flash flood struck Charikar city, Parwan province, Afghanistan, causing building damage and killing hundreds of people. Rapid identification and frequent mapping of the flood-affected area are essential for post-disaster support and rapid response. In this study, we used Google Earth Engine to evaluate the performance of automatic detection of flood-inundated areas by using the spectral index technique based on the relative difference in the Normalized Difference Vegetation Index (rdNDVI) between pre- and post-event Sentinel-2 images. We found that rdNDVI was effective in detecting the land cover change from a flash flood event in a semi-arid region in Afghanistan and in providing a reasonable inundation map. The result of the rdNDVI-based flood detection was compared and assessed by visual interpretation of changes in the satellite images. The overall accuracy obtained from the confusion matrix was 88%, and the kappa coefficient was 0.75, indicating that the methodology is recommendable for rapid assessment and mapping of future flash flood events. We also evaluated the NDVIs' changes over the course of two years after the event to monitor the recovery process of the affected area. Finally, we performed a digital elevation model-based flow simulation to discuss the applicability of the simulation in identifying hazardous areas for future flood events.
英文关键词	flash flood change detection rdNDVI Sentinel-2 flow simulation Charikar Afghanistan Google Earth Engine
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000839786400001
WOS关键词	NORMALIZED BURN RATIO ; WATER INDEX NDWI ; SATELLITE ; MODEL ; CLASSIFICATION ; EXTRACTION ; SEVERITY ; FEATURES ; HAZARDS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394181
推荐引用方式 GB/T 7714	Atefi, Mujeeb Rahman,Miura, Hiroyuki. Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan[J],2022,14(15).
APA	Atefi, Mujeeb Rahman,&Miura, Hiroyuki.(2022).Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan.REMOTE SENSING,14(15).
MLA	Atefi, Mujeeb Rahman,et al."Detection of Flash Flood Inundated Areas Using Relative Difference in NDVI from Sentinel-2 Images: A Case Study of the August 2020 Event in Charikar, Afghanistan".REMOTE SENSING 14.15(2022).