Satellite‐based flood mapping in the boreal region for improving situational awareness
Abstract Space‐borne remote sensing techniques enable near real‐time mapping of floods cost‐efficiently. Synthetic aperture radar (SAR) and optical sensors are the most suitable for flood detection. However, SAR has become more popular, due to the independence of sunlight and weather conditions, and...
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ftdoajarticles:oai:doaj.org/article:27013d4d9ecc4502b678803eb45a824e 2023-05-15T17:42:39+02:00 Satellite‐based flood mapping in the boreal region for improving situational awareness Juval Cohen Kirsikka Heinilä Mikko Huokuna Sari Metsämäki Jyri Heilimo Mikko Sane 2022-09-01T00:00:00Z https://doi.org/10.1111/jfr3.12744 https://doaj.org/article/27013d4d9ecc4502b678803eb45a824e EN eng Wiley https://doi.org/10.1111/jfr3.12744 https://doaj.org/toc/1753-318X 1753-318X doi:10.1111/jfr3.12744 https://doaj.org/article/27013d4d9ecc4502b678803eb45a824e Journal of Flood Risk Management, Vol 15, Iss 3, Pp n/a-n/a (2022) boreal forest Copernicus Emergency Management Service flood monitoring flood risk management remote sensing synthetic aperture radar (SAR) River protective works. Regulation. Flood control TC530-537 Disasters and engineering TA495 article 2022 ftdoajarticles https://doi.org/10.1111/jfr3.12744 2022-12-31T00:43:24Z Abstract Space‐borne remote sensing techniques enable near real‐time mapping of floods cost‐efficiently. Synthetic aperture radar (SAR) and optical sensors are the most suitable for flood detection. However, SAR has become more popular, due to the independence of sunlight and weather conditions, and the increasing data availability. Typical spring floods occurred in northern Finland during 2018. Various remote sensing sources were utilised for monitoring and damage estimation of the flooding. Floods were mapped with the SAR‐based Finnish Flood Centre's Flood Detection Algorithm (FC‐FloDA), a standard threshold‐based approach applied to Sentinel‐1, and a visual interpretation of Sentinel‐2 images. In addition, flood maps from the Copernicus Emergency Management Service (EMS) and aerial photographs from the city of Tornio were ordered. The flood products and interpretations were compared, and a deeper accuracy assessment was conducted on the FC‐FloDA maps. FC‐FloDA was, in general, the most successful in detecting floods within the test areas. The EMS product and the Sentinel‐1 interpretation worked well in open areas, but did not detect floods in forests. The superiority of Flood Centre's product is mainly based on the adaptation of the algorithm to northern boreal environments and the selection of an optimal polarisation for detecting floods also under tree canopies. Article in Journal/Newspaper Northern Finland Directory of Open Access Journals: DOAJ Articles The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Tornio ENVELOPE(24.147,24.147,65.848,65.848) Journal of Flood Risk Management 15 3 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
boreal forest Copernicus Emergency Management Service flood monitoring flood risk management remote sensing synthetic aperture radar (SAR) River protective works. Regulation. Flood control TC530-537 Disasters and engineering TA495 |
spellingShingle |
boreal forest Copernicus Emergency Management Service flood monitoring flood risk management remote sensing synthetic aperture radar (SAR) River protective works. Regulation. Flood control TC530-537 Disasters and engineering TA495 Juval Cohen Kirsikka Heinilä Mikko Huokuna Sari Metsämäki Jyri Heilimo Mikko Sane Satellite‐based flood mapping in the boreal region for improving situational awareness |
topic_facet |
boreal forest Copernicus Emergency Management Service flood monitoring flood risk management remote sensing synthetic aperture radar (SAR) River protective works. Regulation. Flood control TC530-537 Disasters and engineering TA495 |
description |
Abstract Space‐borne remote sensing techniques enable near real‐time mapping of floods cost‐efficiently. Synthetic aperture radar (SAR) and optical sensors are the most suitable for flood detection. However, SAR has become more popular, due to the independence of sunlight and weather conditions, and the increasing data availability. Typical spring floods occurred in northern Finland during 2018. Various remote sensing sources were utilised for monitoring and damage estimation of the flooding. Floods were mapped with the SAR‐based Finnish Flood Centre's Flood Detection Algorithm (FC‐FloDA), a standard threshold‐based approach applied to Sentinel‐1, and a visual interpretation of Sentinel‐2 images. In addition, flood maps from the Copernicus Emergency Management Service (EMS) and aerial photographs from the city of Tornio were ordered. The flood products and interpretations were compared, and a deeper accuracy assessment was conducted on the FC‐FloDA maps. FC‐FloDA was, in general, the most successful in detecting floods within the test areas. The EMS product and the Sentinel‐1 interpretation worked well in open areas, but did not detect floods in forests. The superiority of Flood Centre's product is mainly based on the adaptation of the algorithm to northern boreal environments and the selection of an optimal polarisation for detecting floods also under tree canopies. |
format |
Article in Journal/Newspaper |
author |
Juval Cohen Kirsikka Heinilä Mikko Huokuna Sari Metsämäki Jyri Heilimo Mikko Sane |
author_facet |
Juval Cohen Kirsikka Heinilä Mikko Huokuna Sari Metsämäki Jyri Heilimo Mikko Sane |
author_sort |
Juval Cohen |
title |
Satellite‐based flood mapping in the boreal region for improving situational awareness |
title_short |
Satellite‐based flood mapping in the boreal region for improving situational awareness |
title_full |
Satellite‐based flood mapping in the boreal region for improving situational awareness |
title_fullStr |
Satellite‐based flood mapping in the boreal region for improving situational awareness |
title_full_unstemmed |
Satellite‐based flood mapping in the boreal region for improving situational awareness |
title_sort |
satellite‐based flood mapping in the boreal region for improving situational awareness |
publisher |
Wiley |
publishDate |
2022 |
url |
https://doi.org/10.1111/jfr3.12744 https://doaj.org/article/27013d4d9ecc4502b678803eb45a824e |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) ENVELOPE(24.147,24.147,65.848,65.848) |
geographic |
The Sentinel Tornio |
geographic_facet |
The Sentinel Tornio |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
Journal of Flood Risk Management, Vol 15, Iss 3, Pp n/a-n/a (2022) |
op_relation |
https://doi.org/10.1111/jfr3.12744 https://doaj.org/toc/1753-318X 1753-318X doi:10.1111/jfr3.12744 https://doaj.org/article/27013d4d9ecc4502b678803eb45a824e |
op_doi |
https://doi.org/10.1111/jfr3.12744 |
container_title |
Journal of Flood Risk Management |
container_volume |
15 |
container_issue |
3 |
_version_ |
1766144550707920896 |