DOI: 10.1016/j.jhydrol.2019.124377
论文题名: Towards high resolution flood monitoring: An integrated methodology using passive microwave brightness temperatures and Sentinel synthetic aperture radar imagery
作者: Zeng Z. ; Gan Y. ; Kettner A.J. ; Yang Q. ; Zeng C. ; Brakenridge G.R. ; Hong Y.
刊名: Journal of Hydrology
ISSN: 221694
出版年: 2020
卷: 582 语种: 英语
英文关键词: Flood monitoring
; MEaSUREs CETB
; Microwave remote sensing
; Sentinel-1 SAR
Scopus关键词: Flood control
; Floods
; Image resolution
; Luminance
; Microwaves
; Pixels
; Remote sensing
; Rivers
; Synthetic aperture radar
; Temperature
; Tracking radar
; Watersheds
; Flood monitoring
; MEaSUREs CETB
; Microwave remote sensing
; Passive microwave brightness temperatures
; Preparedness and response
; Satellite constellations
; Sentinel-1
; Synthetic Aperture Radar Imagery
; Radar imaging
; brightness temperature
; correlation
; data set
; flood control
; remote sensing
; satellite constellation
; Sentinel
; surface water
; synthetic aperture radar
; China
; Hubei
; Wuhan
; Yangtze Basin
英文摘要: Monitoring changes in flood extent is critical for flood control and mitigation purposes in areas where flooding affects many people and dense infrastructure and properties. Remote sensing can be an effective technique to detect changes in surface water extent and its dynamics. Compared to optical remote sensing, microwave information is suitable for working in any weather condition without severe cloud interference. Usually passive microwave data has a high temporal but a rather coarse spatial resolution, whereas for active microwave data this is reversed and only with ideal satellite constellation observations it can reach high sampling rates. To overcome these spatial and temporal restrictions, we proposed an integrated methodology to combine the passive and active microwave remote sensing and thus provide flood information more frequently at a high resolution. In this paper, a demonstration of the methodology is presented for a flood event occurring in Wuhan, Hubei Province of China in July 2016. The major inundation occurred along the Jushui River, part of the Middle Yangtze River basin. Using the brightness temperature data from a special data set (MEaSUREs), a daily passive microwave signal at the resolution of 3.125 km is used as an indicator to monitor flood occurrence and obtain the flood duration over time. Synthetic Aperture Radar (SAR) imagery (12-day revisit, 10-m spatial resolution) from Sentinel-1 was processed to estimate high resolution flood extents within the time span of the flood based on a threshold-based method together with the High Above Nearest Drainage (HAND) index post-processor. Surface water fraction data generated from SAR images presents a strong correlation with the passive microwave signal (R2 = 0.84) when using a quadratic polynomial fit. The average bias between surface water fraction computed by the passive microwave signals and SAR observations for water pixels within the Jushui River basin for the validation dates is 0.34%, indicating that this relationship can be applied to interpolate surface water fraction for each pixel along the river and other permanent water bodies for days when SAR observations are not available. This integrated method takes advantage of both passive and active microwave remote sensing and enriches temporally sparse flood data. Given the global coverage of the datasets used in this study, it can be utilized to estimate flood status for other flood-prone areas and thus contribute towards societal flood preparedness and response. © 2019 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159162
Appears in Collections: 气候变化与战略
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作者单位: Water Resources Department, Changjiang River Scientific Research Institute, Wuhan, Hubei, China; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China; Dartmouth Flood Observatory, Community Surface Dynamic Modelling System, Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, United States; College of Civil Engineering and Architecture, Guangxi University, Nanning, Guangxi, China; Civil and Environmental Engineering, University of Connecticut, Storrs, CT, United States; School of Resource and Environmental Science, Wuhan University, Wuhan, Hubei, China; School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, United States
Recommended Citation:
Zeng Z.,Gan Y.,Kettner A.J.,et al. Towards high resolution flood monitoring: An integrated methodology using passive microwave brightness temperatures and Sentinel synthetic aperture radar imagery[J]. Journal of Hydrology,2020-01-01,582