National requirements for improved elevation data

Snyder, Gregory I.; Sugarbaker, Larry J.; Jason, Allyson L.; Maune, David F.

doi:10.3133/ofr20131237

Cited by 4 publications

(3 citation statements)

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“…It has been proven that the use of lidar data yields better accuracy in wetland mapping than photo interpretation-Hogg and Holland [46] achieved (84%) accuracy in wetland delineation using lidar data compared to colored infra-red imagery (76%). While the cost of these systems is much higher than other potential payloads, Snyder et al [47] show, however, a variety of economic benefits that can be achieved by improving topographic maps using lidar that exceed data acquisition costs. Table 7 lists some of the lidar sensors specifically designed for UAS use, some of which are depicted in Figure 10.…”

Section: Laser Scannersmentioning

confidence: 99%

UAS for Wetland Mapping and Hydrological Modeling

Jeziorska

2019

Remote Sensing

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The miniaturization and affordable production of integrated microelectronics have improved in recent years, making unmanned aerial systems (UAS) accessible to consumers and igniting their interest. Researchers have proposed UAS-based solutions for almost any conceivable problem, but the greatest impact will likely be in applications that exploit the unique advantages of the technology: work in dangerous or difficult-to-access areas, high spatial resolution and/or frequent measurements of environmental phenomena, and deployment of novel sensing technology over small to moderate spatial scales. Examples of such applications may be the identification of wetland areas and use of high-resolution spatial data for hydrological modeling. However, because of the large—and growing—assortment of aircraft and sensors available on the market, an evolving regulatory environment, and limited practical guidance or examples of wetland mapping with UAS, it has been difficult to confidently devise or recommend UAS-based monitoring strategies for these applications. This paper provides a comprehensive review of UAS hardware, software, regulations, scientific applications, and data collection/post-processing procedures that are relevant for wetland monitoring and hydrological modeling.

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Section: Laser Scannersmentioning

confidence: 99%

UAS for Wetland Mapping and Hydrological Modeling

Jeziorska

2019

Remote Sensing

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“…The promise of repeat coverage over large spatial scales to quantify Earth surface changes through time is not possible given current priorities and resources. This challenge is exemplified by the limited progress towards nationwide coverage in the United States via the U.S. Geological Survey 3D Elevation Program [56].…”

Section: Lidarmentioning

confidence: 99%

Spatio-Temporal Mapping of Plate Boundary Faults in California Using Geodetic Imaging

2017

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“…The original lidar data have a vertical accuracy of 0.5 ft (15 centimeters) at a 95-percent confidence level for the "bareearth terrain" land-cover category. By these criteria, the lidar data support production of 2-ft contours (Snyder, 2014). The final DEM was resampled to a 6.5-ft grid-cell size to decrease the GIS processing time.…”

Section: Topographic and Bathymetric Datamentioning

confidence: 99%

Flood-inundation maps for the Hoosic River, North Adams and Williamstown, Massachusetts, from the confluence with the North Branch Hoosic River to the Vermont State line

Lombard¹,

Bent²

2015

Scientific Investigations Report

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For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov/ or call 1-888-ASK-USGS.For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprod/ To order this and other USGS information products, visit http://store.usgs.gov/ Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.Suggested citation: Lombard, P.J., and Bent, G.C., 2015, Flood-inundation AbstractA series of eight digital flood-inundation maps were developed for an 8-mile reach of the Hoosic River in North Adams and Williamstown, Massachusetts, by the U.S. Geological Survey (USGS) in cooperation with the Federal Emergency Management Agency and are available at the USGS flood inundation mapping website at http://water.usgs.gov/osw/flood_inundation. The coverage of the maps extends from the confluence with the North Branch Hoosic River to the Vermont State line. Peak flows with 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities were computed for the reach from updated floodfrequency analyses. These peak flows were routed through a onedimensional step-backwater hydraulic model to obtain the corresponding peak water-surface elevations, and to place the tropical storm Irene flood of August 28, 2011 into historical context. The hydraulic model was calibrated by using the current (2014) stagedischarge relation at the USGS streamgage Hoosic River near Williamstown, Massachusetts (01332500), and from documented high-water marks from the tropical storm Irene flood, which had approximately a 1-percent annual exceedance probability.The hydraulic model was used to compute water-surface profiles for flood stages referenced to the streamgage and ranging from 9 feet (ft; 624.45 ft North American Vertical Datum of 1988 [NAVD 1988]), which is near bankfull, to 16.1 ft (631.59 ft NAVD 1988), which exceeds the maximum recorded water level at the streamgage and the National Weather Service major flood stage of 13.0 ft. The mapped stages, from 10.9 to 16.1 ft, were selected to match the stages of flows with annual exceedance probabilities between 20 and 0.2 percent, and thus do not fall at exact 1-ft increments. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data having a 0.5-ft vertical accuracy to create a set of flood-inundation maps.The availability of the flood-inundation maps, combined with information regarding current (near real-time) stage from USGS streamgage Hoosic River near Williamstown, and forecasted flood stages from the National Weather Servic...

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National requirements for improved elevation data

Cited by 4 publications

References 0 publications

UAS for Wetland Mapping and Hydrological Modeling

UAS for Wetland Mapping and Hydrological Modeling

Spatio-Temporal Mapping of Plate Boundary Faults in California Using Geodetic Imaging

Flood-inundation maps for the Hoosic River, North Adams and Williamstown, Massachusetts, from the confluence with the North Branch Hoosic River to the Vermont State line

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