Multi-temporal synthetic aperture radar flood mapping using change detection

被引：268

作者：

Clement, M. A. ^{[1
]}

Kilsby, C. G. ^{[1
,2
]}

Moore, P. ^{[1
]}

机构：

[1] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

[2] Willis Res Network, London, England

来源：

JOURNAL OF FLOOD RISK MANAGEMENT | 2018年 / 11卷 / 02期

基金：

英国自然环境研究理事会;

关键词：

Change detection; flood mapping; polarisation; synthetic aperture radar; winter floods 2015-2016; Yorkshire (UK); WATER INDEX NDWI; SAR; LEVEL; DELINEATION; EXTRACTION; MANAGEMENT; EXTENT; AREAS; IMAGE;

D O I：

10.1111/jfr3.12303

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A change detection and thresholding methodology has been adapted from previous studies to determine the extent of flooding for 13 Sentinel-1 synthetic aperture radar images captured during the floods of winter 2015-2016 in Yorkshire, UK. Both available polarisations, VH and VV, have been processed to allow for a comparison of their respective accuracy for delineating surface water. Peak flood extents are found on 29 December 2015 during the aftermath of storms Eva and Frank. Results have been validated against a Sentinel-2 optical image, with both polarisations producing a total accuracy of 97%. Of the two polarisations, VV produces fewer misclassifications, mirroring the similar results reported in previous research. Mapped results are compared to the Environment Agency Flood Maps for Planning (EA FMP), with good correlation observed for inundation on the floodplains. Differences occur away from the floodplains, with the satellite data identifying pluvial flooding not highlighted by the EA FMP.

引用

页码：152 / 168

页数：17

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