National Enhanced Elevation Assessment at a glance

Snyder, Gregory I.

doi:10.3133/fs20123088

Cited by 13 publications

(16 citation statements)

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“…In the U.S., LiDAR data are available for less than 40 percent of the continental states (Snyder, 2012). LiDAR data derived from high point density elevation measurements or smaller post-spacing increase the survey costs and computational time considerably due to handling of vast amount of data, higher sensor pulse rates, and lower flight altitudes (Aguilar et al, 2010;Raber et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Incorporating the effect of DEM resolution and accuracy for improved flood inundation mapping

Saksena

Merwade

2015

Journal of Hydrology

184

101

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Topography plays a major role in determining the accuracy of flood inundation areas. However, many areas in the United States and around the world do not have access to high quality topographic data in the form of Digital Elevation Models (DEM). For such areas, an improved understanding of the effects of DEM properties such as horizontal resolution and vertical accuracy on flood inundation maps may eventually lead to improved flood inundation modeling and mapping. This study attempts to relate the errors arising from DEM properties such as spatial resolution and vertical accuracy to flood inundation maps, and then use this relationship to create improved flood inundation maps from coarser resolution DEMs with low accuracy. The results from the five stream reaches used in this study show that water surface elevations (WSE) along the stream and the flood inundation area have a linear relationship with both DEM resolution and accuracy. This linear relationship is then used to extrapolate the water surface elevations from coarser resolution DEMs to get water surface elevations corresponding to a finer resolution DEM. Application of this approach show that improved results can be obtained from flood modeling by using coarser and less accurate DEMs, including public domain datasets such as the National Elevation Dataset and Shuttle Radar Topography Mission (SRTM) DEMs. The improvement in the WSE and its application to obtain better flood inundation maps is dependent on the study reach characteristics such as land use, valley shape, reach length and width.Application of the approach presented in this study on more reaches may lead to development of guidelines for flood inundation mapping using coarser resolution and less accurate topographic datasets.Highlights  DEM resolution and vertical accuracy are related to flood inundation maps  DEM properties are linearly related to water surface elevation  DEM properties are linearly related to flood inundation area  Improved flood inundation maps can be obtained from coarser resolution DEM

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Section: Introductionmentioning

confidence: 99%

Incorporating the effect of DEM resolution and accuracy for improved flood inundation mapping

Saksena

Merwade

2015

Journal of Hydrology

184

101

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“…To consider changes that have altered the demand for and supply of remotely sensed imagery, a recent update found that domestic and international users received an estimated $3.45 billion in benefits in 2017, with U.S. users accounting for $2.06 billion of those benefits (Straub and others, 2019). Another USGS study considered the potential benefits of enhanced elevation data, indicating as much as $13 billion in new annual benefits (Snyder, 2012); research on VOI of enhanced elevation data continues. Although stated preference surveys can provide critical information on the uses and value associated with scientific information, this technique is not always feasible due to time and resource constraints.…”

Section: Methods Used To Estimate Voimentioning

confidence: 99%

The value of scientific information — An overview

Pindilli¹,

Chiavacci²,

Straub³

2023

Open-File Report

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“…The original lidar data vertical accuracy was 0.50 ft at a 95-percent confidence level based on a root mean square error of 0.26 ft for the "open terrain" land-cover category. By these criteria, the lidar data supported production of 2-ft contours (Dewberry, 2012). The final DEM had a 3.281-ft grid-cell size and a vertical accuracy of plus or minus 1 ft (U.S. Geological Survey, 2020b).…”

Section: Topographic and Bathymetric Datamentioning

confidence: 98%

Flood-inundation maps for an 8-mile reach of Papillion Creek near Offutt Air Force Base, Nebraska, 2022

Strauch¹,

Hobza²

2023

Scientific Investigations Report

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Digital flood-inundation maps for an 8-mile reach of Papillion Creek near Offutt Air Force Base, Nebraska, were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Air Force, Offutt Air Force Base. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at h ttps://www .usgs.gov/ mission-areas/ water-resources/ science/ flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages Papillion Creek at Fort Crook, Nebr. (station 06610795), and Papillion Creek at Harlan Lewis Road near La Platte, Nebr. (station 06610798). Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System database at https://doi.org/ 10.5066/ F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service at https: //water.we ather.gov/ ahps/ .Flood profiles were computed for the 8-mile stream reach by means of a one-dimensional step-backwater model. The model was calibrated by adjusting roughness coefficients to best represent the current (2022) stage-streamflow relation at the Papillion Creek at Fort Crook (station 06610795) streamgage.The hydraulic model then was used to compute watersurface profiles for 157 scenarios using a combination of stage values in 1-foot (ft) stage intervals that ranged from 27 to 39 ft at the Papillion Creek at Fort Crook (station 06610795) streamgage and from 13.9 to 30.9 ft at the Papillion Creek at Harlan Lewis Road near La Platte (station 06610798) streamgage, as referenced to the local datums. The simulated water-surface profiles then were combined by a geographic information system with a digital elevation model, which had a 3.281-ft grid to delineate the area flooded and water depths at each stage. The availability of these flood-inundation maps, along with information regarding current stage from the USGS streamgages, can provide emergency management personnel and residents with information that is critical for flood response activities and postflood recovery efforts.

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National Enhanced Elevation Assessment at a glance

Cited by 13 publications

References 0 publications

Incorporating the effect of DEM resolution and accuracy for improved flood inundation mapping

Incorporating the effect of DEM resolution and accuracy for improved flood inundation mapping

The value of scientific information — An overview

Flood-inundation maps for an 8-mile reach of Papillion Creek near Offutt Air Force Base, Nebraska, 2022

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