Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform

The new era of cloud platform technologies opens up many opportunities for near real-time dissemination of disaster information to the end-users. The present study utilizes the European Space Agency (ESA) Research and Service Support (RSS) CloudToolbox platform to monitor the spatio-temporal dynamic...

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Autores principales:	V. S. K. Vanama, Y. S. Rao, C. M. Bhatt
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	cyclone monitoring sentinel-1 gpm imerg kittler & illingworth hot spots flood mapping Oceanography GC1-1581 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/937c6da204054b48b5d9fda652c381f2
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id	oai:doaj.org-article:937c6da204054b48b5d9fda652c381f2
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spelling	oai:doaj.org-article:937c6da204054b48b5d9fda652c381f22021-11-17T14:22:00ZRapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform2279-725410.1080/22797254.2021.1983471https://doaj.org/article/937c6da204054b48b5d9fda652c381f22021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/22797254.2021.1983471https://doaj.org/toc/2279-7254The new era of cloud platform technologies opens up many opportunities for near real-time dissemination of disaster information to the end-users. The present study utilizes the European Space Agency (ESA) Research and Service Support (RSS) CloudToolbox platform to monitor the spatio-temporal dynamics of a flood event. A collective flood monitoring framework is formulated to rapidly assess cyclone-induced flood in the CloudToolbox platform. The outputs of the framework are spatio-temporal maps of flood extent, depth, and hot spot zones. The framework utilizes Earth Observation (EO) images such as optical and C-band Synthetic Aperture Radar (SAR) images and an automatic Kittler and Illingworth thresholding algorithm for rapid flood mapping. The temporal flood depth maps are created with the Floodwater Depth Estimation Tool (FwDET) which requires only two input parameters, viz. flood extent, and Digital Elevation Model (DEM). Subsequently, flood hotspot zones are also identified. We tested the flood monitoring framework on Amphan cyclone-induced flood event at both regional and local levels. The spatio-temporal flood extent, depth, and hot spot maps are generated for the Amphan cyclone event and a 97% overall accuracy is achieved at the local level. The entire process took less than one hour for regional and local level analysis.V. S. K. VanamaY. S. RaoC. M. BhattTaylor & Francis Grouparticlecyclone monitoringsentinel-1gpm imergkittler & illingworthhot spotsflood mappingOceanographyGC1-1581GeologyQE1-996.5ENEuropean Journal of Remote Sensing, Vol 54, Iss 1, Pp 588-608 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cyclone monitoring sentinel-1 gpm imerg kittler & illingworth hot spots flood mapping Oceanography GC1-1581 Geology QE1-996.5
spellingShingle	cyclone monitoring sentinel-1 gpm imerg kittler & illingworth hot spots flood mapping Oceanography GC1-1581 Geology QE1-996.5 V. S. K. Vanama Y. S. Rao C. M. Bhatt Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform
description	The new era of cloud platform technologies opens up many opportunities for near real-time dissemination of disaster information to the end-users. The present study utilizes the European Space Agency (ESA) Research and Service Support (RSS) CloudToolbox platform to monitor the spatio-temporal dynamics of a flood event. A collective flood monitoring framework is formulated to rapidly assess cyclone-induced flood in the CloudToolbox platform. The outputs of the framework are spatio-temporal maps of flood extent, depth, and hot spot zones. The framework utilizes Earth Observation (EO) images such as optical and C-band Synthetic Aperture Radar (SAR) images and an automatic Kittler and Illingworth thresholding algorithm for rapid flood mapping. The temporal flood depth maps are created with the Floodwater Depth Estimation Tool (FwDET) which requires only two input parameters, viz. flood extent, and Digital Elevation Model (DEM). Subsequently, flood hotspot zones are also identified. We tested the flood monitoring framework on Amphan cyclone-induced flood event at both regional and local levels. The spatio-temporal flood extent, depth, and hot spot maps are generated for the Amphan cyclone event and a 97% overall accuracy is achieved at the local level. The entire process took less than one hour for regional and local level analysis.
format	article
author	V. S. K. Vanama Y. S. Rao C. M. Bhatt
author_facet	V. S. K. Vanama Y. S. Rao C. M. Bhatt
author_sort	V. S. K. Vanama
title	Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform
title_short	Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform
title_full	Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform
title_fullStr	Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform
title_full_unstemmed	Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform
title_sort	rapid monitoring of cyclone induced flood through an automated approach using multi–temporal earth observation (eo) images in rss cloudtoolbox platform
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/937c6da204054b48b5d9fda652c381f2
work_keys_str_mv	AT vskvanama rapidmonitoringofcycloneinducedfloodthroughanautomatedapproachusingmultitemporalearthobservationeoimagesinrsscloudtoolboxplatform AT ysrao rapidmonitoringofcycloneinducedfloodthroughanautomatedapproachusingmultitemporalearthobservationeoimagesinrsscloudtoolboxplatform AT cmbhatt rapidmonitoringofcycloneinducedfloodthroughanautomatedapproachusingmultitemporalearthobservationeoimagesinrsscloudtoolboxplatform
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Rapid monitoring of cyclone induced flood through an automated approach using multi–temporal Earth Observation (EO) images in RSS CloudToolbox platform

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