Towards Operational Flood Monitoring in Flanders Using Sentinel-1

As floods pose an increasing threat to our society, insights into their occurrence and dynamics are of major importance for emergency relief, damage assessment, the optimization of predictive models, and spatial planning. Due to their capability of providing synoptic observations independent of clou...

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Autores principales:	Lisa Landuyt, Frieke M. B. Van Coillie, Bram Vogels, Joost Dewelde, Niko E. C. Verhoest
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Change detection floods monitoring synthetic-aperture radar (SAR) Sentinel-1 Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/5cdb7da637d0445da0cae8c975bf48d5
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id	oai:doaj.org-article:5cdb7da637d0445da0cae8c975bf48d5
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spelling	oai:doaj.org-article:5cdb7da637d0445da0cae8c975bf48d52021-11-18T00:00:18ZTowards Operational Flood Monitoring in Flanders Using Sentinel-12151-153510.1109/JSTARS.2021.3121992https://doaj.org/article/5cdb7da637d0445da0cae8c975bf48d52021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9583913/https://doaj.org/toc/2151-1535As floods pose an increasing threat to our society, insights into their occurrence and dynamics are of major importance for emergency relief, damage assessment, the optimization of predictive models, and spatial planning. Due to their capability of providing synoptic observations independent of cloud cover and daylight, synthetic-aperture radar (SAR) sensors are an invaluable tool for flood mapping and monitoring. In this study, the potential of SAR, and more specifically Sentinel-1, for automated flood monitoring in Flanders is assessed. Its capability to detect floods with varying characteristics is investigated, and an approach for automated monitoring is presented. This approach, combining thresholding and region growing, requires a SAR image pair and several ancillary data layers, including elevation, land cover, and flood risk, as input. The resulting map discriminates permanent water, open flooding, long-term flooding, possible flooding, flooded vegetation, and possibly flooded forests from dry land. Invisible forested areas are indicated as well. A quantitative and qualitative accuracy assessment, based on 17 and 138 flood maps, respectively, highlights the approach's robustness and improved accuracy compared to benchmark techniques. Furthermore, main sources of confusion are identified and suggestions for future improvements are listed.Lisa LanduytFrieke M. B. Van CoillieBram VogelsJoost DeweldeNiko E. C. VerhoestIEEEarticleChange detectionfloodsmonitoringsynthetic-aperture radar (SAR)Sentinel-1Ocean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11004-11018 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Change detection floods monitoring synthetic-aperture radar (SAR) Sentinel-1 Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
spellingShingle	Change detection floods monitoring synthetic-aperture radar (SAR) Sentinel-1 Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Lisa Landuyt Frieke M. B. Van Coillie Bram Vogels Joost Dewelde Niko E. C. Verhoest Towards Operational Flood Monitoring in Flanders Using Sentinel-1
description	As floods pose an increasing threat to our society, insights into their occurrence and dynamics are of major importance for emergency relief, damage assessment, the optimization of predictive models, and spatial planning. Due to their capability of providing synoptic observations independent of cloud cover and daylight, synthetic-aperture radar (SAR) sensors are an invaluable tool for flood mapping and monitoring. In this study, the potential of SAR, and more specifically Sentinel-1, for automated flood monitoring in Flanders is assessed. Its capability to detect floods with varying characteristics is investigated, and an approach for automated monitoring is presented. This approach, combining thresholding and region growing, requires a SAR image pair and several ancillary data layers, including elevation, land cover, and flood risk, as input. The resulting map discriminates permanent water, open flooding, long-term flooding, possible flooding, flooded vegetation, and possibly flooded forests from dry land. Invisible forested areas are indicated as well. A quantitative and qualitative accuracy assessment, based on 17 and 138 flood maps, respectively, highlights the approach's robustness and improved accuracy compared to benchmark techniques. Furthermore, main sources of confusion are identified and suggestions for future improvements are listed.
format	article
author	Lisa Landuyt Frieke M. B. Van Coillie Bram Vogels Joost Dewelde Niko E. C. Verhoest
author_facet	Lisa Landuyt Frieke M. B. Van Coillie Bram Vogels Joost Dewelde Niko E. C. Verhoest
author_sort	Lisa Landuyt
title	Towards Operational Flood Monitoring in Flanders Using Sentinel-1
title_short	Towards Operational Flood Monitoring in Flanders Using Sentinel-1
title_full	Towards Operational Flood Monitoring in Flanders Using Sentinel-1
title_fullStr	Towards Operational Flood Monitoring in Flanders Using Sentinel-1
title_full_unstemmed	Towards Operational Flood Monitoring in Flanders Using Sentinel-1
title_sort	towards operational flood monitoring in flanders using sentinel-1
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/5cdb7da637d0445da0cae8c975bf48d5
work_keys_str_mv	AT lisalanduyt towardsoperationalfloodmonitoringinflandersusingsentinel1 AT friekembvancoillie towardsoperationalfloodmonitoringinflandersusingsentinel1 AT bramvogels towardsoperationalfloodmonitoringinflandersusingsentinel1 AT joostdewelde towardsoperationalfloodmonitoringinflandersusingsentinel1 AT nikoecverhoest towardsoperationalfloodmonitoringinflandersusingsentinel1
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Towards Operational Flood Monitoring in Flanders Using Sentinel-1

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