Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China

Flood is a kind of natural disaster that is extremely harmful and occurs frequently. To reduce losses caused by the hazards, it is urgent to monitor the disaster area timely and carry out rescue operations efficiently. However, conventional space observers cannot achieve sufficient spatiotemporal re...

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Autores principales:	Wentao Yang, Fan Gao, Tianhe Xu, Nazi Wang, Jinsheng Tu, Lili Jing, Yahui Kong
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	CYGNSS flood monitoring GNSS-R SMAP flood mapping Science Q
Acceso en línea:	https://doaj.org/article/985942f9ba4145d7bda350a4d488f30c
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id	oai:doaj.org-article:985942f9ba4145d7bda350a4d488f30c
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spelling	oai:doaj.org-article:985942f9ba4145d7bda350a4d488f30c2021-11-25T18:54:20ZDaily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China10.3390/rs132245612072-4292https://doaj.org/article/985942f9ba4145d7bda350a4d488f30c2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4561https://doaj.org/toc/2072-4292Flood is a kind of natural disaster that is extremely harmful and occurs frequently. To reduce losses caused by the hazards, it is urgent to monitor the disaster area timely and carry out rescue operations efficiently. However, conventional space observers cannot achieve sufficient spatiotemporal resolution. As spaceborne GNSS-R technique can observe the Earth’s surface with high temporal and spatial resolutions; and it is expected to provide a new solution to the problem of flood hazards. During 19–21 July 2021, Henan province, China, suffered a catastrophic flood and urban waterlogging. In order to test the feasibility of flood disaster monitoring on a daily basis by using GNSS-R observations, the CYGNSS (Cyclone Global Navigation Satellite System) Level 1 Science Data were processed for a few days before and after the flood to obtain surface reflectivity by correcting the analog power. Afterwards, the flood was monitored and mapped daily based on the analysis of changes in surface reflectivity from spaceborne GNSS-R mission. The results were evaluated based on the image from MODIS (Moderate Resolution Imaging Spectroradiometer) data, and compared with the observations of SMAP (Soil Moisture Active Passive) in the same period. The results show that the area with high CYGNSS reflectivity corresponds to the flooded area monitored by MODIS, and it is also in high agreement with SMAP. Moreover, CYGNSS can achieve more detailed mapping and quantification of the inundated area and the duration of the flood, respectively, in line with the specific situation of the flood. Thus, spaceborne GNSS-R technology can be used as a method to monitor floods with high temporal resolution.Wentao YangFan GaoTianhe XuNazi WangJinsheng TuLili JingYahui KongMDPI AGarticleCYGNSSflood monitoringGNSS-RSMAPflood mappingScienceQENRemote Sensing, Vol 13, Iss 4561, p 4561 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CYGNSS flood monitoring GNSS-R SMAP flood mapping Science Q
spellingShingle	CYGNSS flood monitoring GNSS-R SMAP flood mapping Science Q Wentao Yang Fan Gao Tianhe Xu Nazi Wang Jinsheng Tu Lili Jing Yahui Kong Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
description	Flood is a kind of natural disaster that is extremely harmful and occurs frequently. To reduce losses caused by the hazards, it is urgent to monitor the disaster area timely and carry out rescue operations efficiently. However, conventional space observers cannot achieve sufficient spatiotemporal resolution. As spaceborne GNSS-R technique can observe the Earth’s surface with high temporal and spatial resolutions; and it is expected to provide a new solution to the problem of flood hazards. During 19–21 July 2021, Henan province, China, suffered a catastrophic flood and urban waterlogging. In order to test the feasibility of flood disaster monitoring on a daily basis by using GNSS-R observations, the CYGNSS (Cyclone Global Navigation Satellite System) Level 1 Science Data were processed for a few days before and after the flood to obtain surface reflectivity by correcting the analog power. Afterwards, the flood was monitored and mapped daily based on the analysis of changes in surface reflectivity from spaceborne GNSS-R mission. The results were evaluated based on the image from MODIS (Moderate Resolution Imaging Spectroradiometer) data, and compared with the observations of SMAP (Soil Moisture Active Passive) in the same period. The results show that the area with high CYGNSS reflectivity corresponds to the flooded area monitored by MODIS, and it is also in high agreement with SMAP. Moreover, CYGNSS can achieve more detailed mapping and quantification of the inundated area and the duration of the flood, respectively, in line with the specific situation of the flood. Thus, spaceborne GNSS-R technology can be used as a method to monitor floods with high temporal resolution.
format	article
author	Wentao Yang Fan Gao Tianhe Xu Nazi Wang Jinsheng Tu Lili Jing Yahui Kong
author_facet	Wentao Yang Fan Gao Tianhe Xu Nazi Wang Jinsheng Tu Lili Jing Yahui Kong
author_sort	Wentao Yang
title	Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
title_short	Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
title_full	Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
title_fullStr	Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
title_full_unstemmed	Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China
title_sort	daily flood monitoring based on spaceborne gnss-r data: a case study on henan, china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/985942f9ba4145d7bda350a4d488f30c
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Daily Flood Monitoring Based on Spaceborne GNSS-R Data: A Case Study on Henan, China

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