气候变化领域集成服务门户(CCPortal): A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case

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DOI	10.1016/j.rse.2021.112338
	A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case
	Zhao J.; Pelich R.; Hostache R.; Matgen P.; Wagner W.; Chini M.
发表日期	2021
ISSN	00344257
卷号	256
英文摘要	Synthetic Aperture Radars (SAR) are adequate sensors for mapping water bodies from space as they can be used to acquire data of equal quality both day and night and practically regardless of weather conditions. Furthermore, the global coverage of SAR data provides an opportunity to generate global scale flood records that are essential for improving our understanding of flood risks worldwide and of how these risks are changing over time. In this study, we introduce an automatic change-detection based method that allows global-scale flood records to be generated using the readily and freely available ENVISAT-ASAR data collection. It consists of the following three steps: (i) flood image identification; (ii) reference image selection; (iii) floodwater detection. As a test case, this study uses all available ENVISAT-ASAR images from eight different orbital tracks that were acquired over the United Kingdom over the period 2005–2012. Due to a lack of large-scale ground truth data, the evaluation of the results is carried out using different data sources. First, subsets of the flood maps over the Severn River basin are evaluated using a flood extent map that was manually digitized from very high-resolution aerial imagery. According to our results, the overall accuracy of both flood maps' subsets is higher than 85% while the user accuracy of the flood class is above 88%. Next, for the regions and images without available ground truth data, a visual inspection is carried out using simulations generated by the hydraulic model LISFLOOD-FP, as well as LANDSAT 7 ETM+ images obtained with a 30 m spatial resolution. Meanwhile, by comparing the acquisition dates of identified flood SAR images, the LISFLOOD-FP model results and optical data, a good agreement has been found. The experimental results over the United Kingdom indicate that the proposed method has strong potential for the generation of a global flood data record from the ENVISAT-ASAR archive. © 2021 The Authors
英文关键词	ENVISAT; Flood image identification; Fully automatic change detection; Global flood record
语种	英语
scopus关键词	Aerial photography; Antennas; Hydraulic models; Space-based radar; Synthetic aperture radar; Synthetic apertures; Automatic change detection; Envisat ASAR data; Ground truth data; Image identification; Overall accuracies; Spatial resolution; Very high resolution; Visual inspection; Floods
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178920
作者单位	Department of Environmental Research and Innovation, Luxembourg Institute of Science and Technology, 5 Avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, Luxembourg; Research Group Remote Sensing, Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, 1040, Austria
推荐引用方式 GB/T 7714	Zhao J.,Pelich R.,Hostache R.,等. A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case[J],2021,256.
APA	Zhao J.,Pelich R.,Hostache R.,Matgen P.,Wagner W.,&Chini M..(2021).A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case.Remote Sensing of Environment,256.
MLA	Zhao J.,et al."A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case".Remote Sensing of Environment 256(2021).