Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing

Townsend, Philip A.; Walsh, Stephen J.

doi:10.1016/s0169-555x(97)00069-x

Cited by 230 publications

(129 citation statements)

References 30 publications

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“…Hayashi and van der Kamp (2000) proposed a power function with two parameters to represent the relation of elevation with area or volume in small shallow ponds or topographic depression of the Northern American prairie regions. Townshend and Walsh (1998) examined various procedures to determine the elevation of the flood level from a detailed DEM. Generally, the modeling of flooding processes is achieved through 2-D formulations, but stage data are lacking for constraining and validating these models.…”

Section: Previous Studiesmentioning

confidence: 99%

Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels

Frappart

Seyler

Martinez

et al. 2005

Remote Sensing of Environment

198

108

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. Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels. Remote Sensing of Environment, Elsevier, 2005, 99, pp.387-399 Abstract : The objective of this study is to determine spatio-temporal variations of water volume over inundated areas located in large river basins using combined observations from the Synthetic Aperture Radar (SAR) onboard the Japanese Earth Resources Satellite (JERS-1), the Topex/Poseidon (T/P) altimetry satellite, and in-situ hydrographic stations. Ultimately, the goal is to quantify the role of floodplains for partitioning water and sediment fluxes over the great fluvial basins of the world. SAR images are used to identify the type of surface (open water, inundated areas, forest) and, hence, the areas covered with water. Both radar altimetry data and in-situ hydrographic measurements yield water level time series. The basin of the Negro river, the tributary which carries the largest discharge to the Amazon river, was selected as a test site. By combining area estimates derived from radar images classification with changes in water level, variations of water volume (focusing on a seasonal cycle) have been obtained. The absence of relationship between water volume and inundated area, reflecting the diverse and widely dispersed floodplains of the basin, is one of the main result of this study.

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Section: Previous Studiesmentioning

confidence: 99%

Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels

Frappart

Seyler

Martinez

et al. 2005

Remote Sensing of Environment

198

108

View full text Add to dashboard Cite

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“…SAR can penetrate clouds, emergent aquatic plants, and forest canopies to detect standing water (Brivio et al, 2002;Horritt, Mason, and Luckman, 2001;Lawrence et al, 2005;Townsend, 2002). Cloud penetration is particularly important for monitoring flood events because they commonly occur during hurricanerelated flooding or periods of extended rainfall (Kiage et al, 2005;Stevens, 2013;Townsend and Walsh, 1998). Discrimination of inundated areas can be optimized by selecting the most suitable polarization of the radar waves.…”

Section: Microwave Remote Sensing Of Flood Extentmentioning

confidence: 99%

Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

Lin

Burks-Copes

2013

Journal of Coastal Research

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“…[4]). Thereby, all elements of the SAR intensity data with a radar cross-section lower than a given threshold are assigned to the water class.…”

Section: Comparison Of Pixel-based and Object-based Approachesmentioning

confidence: 99%

Automatic Extraction of Water Bodies from TerraSAR-X Data

Hahmann

Roth

Martinis

et al. 2008

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium

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Medium resolution SAR satellite data have been widely used for water and flood mapping in recent years. Since the beginning of 2008 high resolution radar data with up to one meter pixel spacing of the TerraSAR-X satellite are operationally available. The improved ground resolution of the system offers a high potential for water detection. However, image analysis gets more challenging due to the large amount of image objects that are visible in the data. Water body detection methods are reviewed with regard to their applicability for TerraSAR-X data. Flood detection approaches for rapid disaster mapping are presented in this paper.

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Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing

Cited by 230 publications

References 30 publications

Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels

Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels

Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

Automatic Extraction of Water Bodies from TerraSAR-X Data

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