Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses

Satellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are especially appropriate instruments, as they allow the differentiation of inundated from non-inundated areas, regardless of levels of solar illumination or frequency of cloud cover in regions experiencing subst...

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Main Authors: Stefan Dech, Xinwu Li, Patrick Leinenkugel, Juliane Huth, Huadong Guo, Claudia Kuenzer
Format: Article
Language:English
Published: MDPI AG 2013-02-01
Series:Remote Sensing
Subjects:
WSM
Online Access:http://www.mdpi.com/2072-4292/5/2/687
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spelling doaj-087304fe12d942c69ab0e56b5fb26ef52020-11-24T23:27:01ZengMDPI AGRemote Sensing2072-42922013-02-015268771510.3390/rs5020687Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series AnalysesStefan DechXinwu LiPatrick LeinenkugelJuliane HuthHuadong GuoClaudia KuenzerSatellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are especially appropriate instruments, as they allow the differentiation of inundated from non-inundated areas, regardless of levels of solar illumination or frequency of cloud cover in regions experiencing substantial rainy seasons. In the current study we present the longest synthetic aperture radar-based time series of flood and inundation information derived for the Mekong Delta that has been analyzed for this region so far. We employed overall 60 Envisat ASAR Wide Swath Mode data sets at a spatial resolution of 150 meters acquired during the years 2007–2011 to facilitate a thorough understanding of the flood regime in the Mekong Delta. The Mekong Delta in southern Vietnam comprises 13 provinces and is home to 18 million inhabitants. Extreme dry seasons from late December to May and wet seasons from June to December characterize people’s rural life. In this study, we show which areas of the delta are frequently affected by floods and which regions remain dry all year round. Furthermore, we present which areas are flooded at which frequency and elucidate the patterns of flood progression over the course of the rainy season. In this context, we also examine the impact of dykes on floodwater emergence and assess the relationship between retrieved flood occurrence patterns and land use. In addition, the advantages and shortcomings of ENVISAT ASAR-WSM based flood mapping are discussed. The results contribute to a comprehensive understanding of Mekong Delta flood dynamics in an environment where the flow regime is influenced by the Mekong River, overland water-flow, anthropogenic floodwater control, as well as the tides.http://www.mdpi.com/2072-4292/5/2/687Floodflood dynamicsflood progressionwater detectioninundationradarEnvisatASARWSMfeature extractiontime seriesMekong DeltaVietnam
collection DOAJ
language English
format Article
sources DOAJ
author Stefan Dech
Xinwu Li
Patrick Leinenkugel
Juliane Huth
Huadong Guo
Claudia Kuenzer
spellingShingle Stefan Dech
Xinwu Li
Patrick Leinenkugel
Juliane Huth
Huadong Guo
Claudia Kuenzer
Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
Remote Sensing
Flood
flood dynamics
flood progression
water detection
inundation
radar
Envisat
ASAR
WSM
feature extraction
time series
Mekong Delta
Vietnam
author_facet Stefan Dech
Xinwu Li
Patrick Leinenkugel
Juliane Huth
Huadong Guo
Claudia Kuenzer
author_sort Stefan Dech
title Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
title_short Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
title_full Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
title_fullStr Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
title_full_unstemmed Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
title_sort flood mapping and flood dynamics of the mekong delta: envisat-asar-wsm based time series analyses
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2013-02-01
description Satellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are especially appropriate instruments, as they allow the differentiation of inundated from non-inundated areas, regardless of levels of solar illumination or frequency of cloud cover in regions experiencing substantial rainy seasons. In the current study we present the longest synthetic aperture radar-based time series of flood and inundation information derived for the Mekong Delta that has been analyzed for this region so far. We employed overall 60 Envisat ASAR Wide Swath Mode data sets at a spatial resolution of 150 meters acquired during the years 2007–2011 to facilitate a thorough understanding of the flood regime in the Mekong Delta. The Mekong Delta in southern Vietnam comprises 13 provinces and is home to 18 million inhabitants. Extreme dry seasons from late December to May and wet seasons from June to December characterize people’s rural life. In this study, we show which areas of the delta are frequently affected by floods and which regions remain dry all year round. Furthermore, we present which areas are flooded at which frequency and elucidate the patterns of flood progression over the course of the rainy season. In this context, we also examine the impact of dykes on floodwater emergence and assess the relationship between retrieved flood occurrence patterns and land use. In addition, the advantages and shortcomings of ENVISAT ASAR-WSM based flood mapping are discussed. The results contribute to a comprehensive understanding of Mekong Delta flood dynamics in an environment where the flow regime is influenced by the Mekong River, overland water-flow, anthropogenic floodwater control, as well as the tides.
topic Flood
flood dynamics
flood progression
water detection
inundation
radar
Envisat
ASAR
WSM
feature extraction
time series
Mekong Delta
Vietnam
url http://www.mdpi.com/2072-4292/5/2/687
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AT xinwuli floodmappingandflooddynamicsofthemekongdeltaenvisatasarwsmbasedtimeseriesanalyses
AT patrickleinenkugel floodmappingandflooddynamicsofthemekongdeltaenvisatasarwsmbasedtimeseriesanalyses
AT julianehuth floodmappingandflooddynamicsofthemekongdeltaenvisatasarwsmbasedtimeseriesanalyses
AT huadongguo floodmappingandflooddynamicsofthemekongdeltaenvisatasarwsmbasedtimeseriesanalyses
AT claudiakuenzer floodmappingandflooddynamicsofthemekongdeltaenvisatasarwsmbasedtimeseriesanalyses
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