Sensitivity of a Floodplain Hydrodynamic Model to  Satellite-Based DEM Scale and Accuracy: Case Study—The Atchafalaya Basin

Jung, Hahn Chul; Jasinski, Michael F.

doi:10.3390/rs70607938

Cited by 19 publications

(12 citation statements)

References 39 publications

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“…Elevation data are one of the most important input parameters for flood modelling (Horritt and Bates, 2002;Jung and Jasinski, 2015). According to Bales and Wagner (2009), error in the flood inundation polygons simulated with a one-dimensional model increases with distance from the main channel.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, due to lack of hydraulic connectivity in DEMs over floodplains, the flood extents appeared as scattered pools of water as shown in Figure 5. These inaccuracies may arise from missing vector features such as drainage ditches and embankment heights, pits caused by vegetation canopies, subpixel-sized structures, and random radar speckles (Schubert et al, 2008;Yamazaki et al, 2012;Jung and Jasinski, 2015). This may cause problems in identifying the spatial distribution of flood hazards.…”

Section: Discussionmentioning

confidence: 99%

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Accounting digital elevation uncertainty for flood consequence assessment

Bhuyian

Kalyanapu

2017

J Flood Risk Management

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A digital elevation model (DEM) is commonly used as a substitute for surveyed topographic data. Selection of suitable DEM and optimum spatial resolution is, thus, a key for achieving expected accuracy within sufficient simulation time. This study compared DEMs from different sources (i.e. Shuttle Radar Topography Mission, Advanced Spaceborne Thermal Emission and Reflection Radiometer, National Elevation Dataset, and Light Detection and Ranging) with various spatial resolutions for a 35 km long stretch of the American River downstream of Folsom Dam in California. The study period was the 1997 ‘New Year's Flood’ used to estimate downstream flood consequences, especially in urban areas near Sacramento. The objective of this study was to quantify the comparative deviation of model accuracy for each specific set of topographic data. This study also looked into developing correlations between consequences and flood magnitude. The hydrodynamic model furnished input for flood damage assessment. The Hydrologic Engineering Center's Flood Impact Analysis (HEC‐FIA) was employed to estimate flood losses for each scenario. This analysis will assist decision‐makers in selecting the appropriate DEM for flood consequence assessment to get reasonable results within a convenient amount of time. It is also expected that this study will be useful for estimating consequences in absence of high‐quality terrain data, which will be especially helpful in remote study areas.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Accounting digital elevation uncertainty for flood consequence assessment

Bhuyian

Kalyanapu

2017

J Flood Risk Management

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“…INIS GeoPortal, developed on Esri Geoportal Server Extension Technology and Google Earth are utilized for geographical data validation, environmental factors assessment (Diaconu & Serban, 1994;Yu et al, 2000;Reistetter & Russell, 2011;Jung & Jasinski, 2015;Győri et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

Methods of Maximum Discharge Computation in Ungauged River Basins. Review of Procedures in Romania

Voda¹,

Sarpe²,

Voda³

2018

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ABSTRACT:Maximum discharge determination on small river basins with no hydrological measurement utilities is important for the rainfall-runoff correlation and the accurate assessment of the watershed surface flow effects. Discharge transfer time calculation from rainfall to runoff requires correct determined hydrological parameters. The focus of this article is the evaluation of Romanian methodologies used for maximum discharge computation in ungauged river basins. Our research for ungauged small river basins study methodology was carried on using remote sensing, GIS and regional datasets. Field work on significant small catchments was necessary for the basin morphological features assessment and land cover characteristics validation. We found that the Romanian rational methodology is widely used according to national landscapes features classification, applicable to a considerable number of ungauged river basins. Our study presents the benefits and limitations of the official Romanian methodologies used for small ungauged river basins scientific assessment and hydrological calculations.

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“…Merging zonal flood information with topography can reveal complexities in water surface dynamics [12,13] and in local flow connectivity [14], which are difficult to observe with flood imagery or maps alone. Integrating satellite data with models can lead to significant improvements in the latter, especially for large scale flood hydrology and hydrodynamics, as illustrated by Pinel et al [15] in the Amazon Basin and by Jung and Jasinski [16] in the Atchafalaya Basin. Data assimilation of remotely sensed data can be employed to help improve simulations from different types of models, as illustrated by Reager et al [17] for a land surface model and GRACE terrestrial water storage and by Massari et al [18] for satellite soil moisture and a rainfall-runoff model.…”

Section: Overview Of Contributionsmentioning

confidence: 99%

Preface: Remote Sensing in Flood Monitoring and Management

Schumann

2015

Remote Sensing

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This Special Issue is a collection of papers studying the use of remote sensing data and methods for flood monitoring and management. The articles contributed span a wide range of topics and present novel processing techniques, review methods and discuss limitations, and also report on current capabilities and outline emerging needs. This preface provides a brief overview of the content.Keywords: flood hazard and risk; satellite imagery; altimetry; digital elevation model; hydrodynamics ScopeFloods can be mapped and monitored with remotely sensed data acquired by aircraft and satellites, or even from ground-based platforms. The sensors and data processing techniques that exist to derive information about floods are numerous. Instruments that record flood events may operate in the visible, thermal and microwave range of the electromagnetic spectrum. Due to the limitations posed by adverse weather conditions during flood events, active radar is invaluable for monitoring floods; however, if a visible image of flooding can be acquired, retrieving useful information from this is often more straightforward.Apart from providing direct information about flooding, remote sensing data can also be integrated with flood models (via model calibration or validation, and data assimilation techniques) or provide floodplain topography data to augment the amount and type of information available for efficient flood management. There have been notable studies on integrating remotely sensed data with flood modeling since the late 1990s and there is now a general consensus among space agencies to strengthen the support that satellite missions can offer. This trend has stimulated more research in this area, and significant progress has been achieved in recent years in fostering our understanding of the ways in which remote sensing can support flood monitoring and management.This Special Issue presents a collection of work on current efforts to aid advancing flood monitoring and management through remotely sensed data. The following section gives a brief overview of the large variety of papers contributed to this Special Issue, presenting the use of remote sensing data and methods in flood research and applications. Overview of ContributionsThe variety of high quality research and application studies published in this Special Issue is large and I only provide a brief overview here. I encourage the reader to refer to the entire Special Issue to gain insight into the current state-of-the-art methods employed in remote sensing for flood monitoring and management.The contributed articles cover local to global scale applications and range across a number of fields (e.g., disaster management and societal impact, flood forecasting, rainfall-runoff modeling, A number of papers in this Special Issue also demonstrate that much is to be gained from combining satellite flood maps with digital elevation models (DEMs) and also distributed process models. Merging zonal flood information with topography can reveal complexities in water surf...

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Sensitivity of a Floodplain Hydrodynamic Model to Satellite-Based DEM Scale and Accuracy: Case Study—The Atchafalaya Basin

Cited by 19 publications

References 39 publications

Accounting digital elevation uncertainty for flood consequence assessment

Accounting digital elevation uncertainty for flood consequence assessment

Methods of Maximum Discharge Computation in Ungauged River Basins. Review of Procedures in Romania

Preface: Remote Sensing in Flood Monitoring and Management

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