Relating wetland inundation to river flow using Landsat TM data

Frazier, Paul; Page, Kenneth; Louis, John; Briggs, Sue; Robertson, Alistar

doi:10.1080/0143116021000023916

Cited by 98 publications

(77 citation statements)

References 12 publications

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“…Townsend and Foster (2002) proposed a SAR-based statistical model to predict flood extent and river discharge in a North-American river basin. Landsat Thematic Mapper imagery has also been used to understand the relationship between wetland inundation and river flow (Frazier et al, 2003). Stage estimation by satellite radar altimetry coupled with flooded area estimation by SAR imagery offers an alternative approach that has not been utilized in previous studies.…”

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

201

110

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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

201

110

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“…The assumption behind this approach is that observed inundations in the discontinuous series show a good correlation with the synchronous values of the hydrological variable in the continuous series. This has been proven true for the relationship between inundation and river discharge [37] and for the relationship between inundation and water height [38].…”

Section: Modeling: Lisflood-accmentioning

confidence: 98%

“…Gauged values like discharge and water height are known to be correlated with inundation extent [37,38]. Consequently, the merit of using measured data as in Huang et al [36] is that, when available, appropriately-selected gauged series show a strong correlation in time with flood extent.…”

Section: Correlation Between Time-continuous Series and Remote Sensinmentioning

confidence: 99%

Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data

et al. 2015

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This paper explores a method to combine the time and space continuity of a large-scale inundation model with discontinuous satellite microwave observations, for high-resolution flood hazard mapping. The assumption behind this approach is that hydraulic variables computed from continuous spatially-distributed hydrodynamic modeling and observed as discrete satellite-derived flood extents are correlated in time, so that probabilities can be transferred from the model series to the observations. A prerequisite is, therefore, the existence of a significant correlation between a modeled variable (i.e., flood extent or volume) and the synchronously-observed flood extent. If this is the case, the availability of model simulations over a long time period allows for a robust estimate of non-exceedance probabilities that can be attributed to corresponding synchronously-available satellite observations. The generated flood hazard map has a spatial resolution equal to that of the satellite images, which is higher than that of currently available large scale inundation models. The method was applied on the Severn River (UK), using the outputs of a global inundation model provided by the European Centre for Medium-range Weather Forecasts OPEN ACCESSRemote Sens. 2015, 7 14201and a large collection of ENVISAT ASAR imagery. A comparison between the hazard map obtained with the proposed method and with a more traditional numerical modeling approach supports the hypothesis that combining model results and satellite observations could provide advantages for high-resolution flood hazard mapping, provided that a sufficient number of remote sensing images is available and that a time correlation is present between variables derived from a global model and obtained from satellite observations.

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“…Use of remote sensing from orbit to detect inundation extent has been proven to be closely correlated with ground measurements of river discharge [27][28][29][30][31][32]. In general, two types of remote sensors are suitable for detection of inundation, microwave and optical sensors.…”

Section: Data Opportunities and Constraintsmentioning

confidence: 99%

MODIS Inundation Estimate Assimilation into Soil Moisture Accounting Hydrologic Model: A Case Study in Southeast Asia

2014

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Flash Flood Guidance consists of indices that estimate the amount of rain of a certain duration that is needed over a given small basin in order to cause minor flooding. Backwater catchment inundation from swollen rivers or regional groundwater inputs are not significant over the spatial and temporal scales for the majority of upland flash flood prone basins, as such, these effects are not considered. However, some lowland areas and flat terrain near large rivers experience standing water long after local precipitation has ceased. NASA is producing an experimental product from the MODIS that detects standing water. These observations were assimilated into the hydrologic model in order to more accurately represent soil moisture conditions within basins, from sources of water from outside of the basin. Based on the upper soil water content, relations are used to derive an error estimate for the modeled soil saturation fraction; whereby, the soil saturation fraction model state can be updated given the availability of satellite observed inundation. Model error estimates were used in a Monte Carlo ensemble forecast of soil water and flash flood potential. Numerical experiments with six months of data -December 2011 showed that MODIS inundation data, when assimilated to correct soil moisture estimates, increased the likelihood that bankfull flow would occur, over non-assimilated modeling, at catchment outlets for approximately 44% of basin-days during the study time period. While this is a much more realistic representation of conditions, no actual events occurred allowing for validation during the time period.

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Relating wetland inundation to river flow using Landsat TM data

Cited by 98 publications

References 12 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

Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data

MODIS Inundation Estimate Assimilation into Soil Moisture Accounting Hydrologic Model: A Case Study in Southeast Asia

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