Status of the 3D Elevation Program, 2015

Sugarbaker, Larry J.; Eldridge, Diane F.; Jason, Allyson L.; Lukas, Vicki; Saghy, David L.; Stoker, Jason M.; Thunen, Diana

doi:10.3133/ofr20161196

Cited by 21 publications

(15 citation statements)

References 2 publications

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“…The 3D Elevation Program, a partnership led by the U.S. Geological Survey, is systematically collecting and processing enhanced elevation data for all U.S. states and territories. Upon completion, anticipated in 2023, products and source data for the entire United States will be freely available online (Sugarbaker et al, ). These and other efforts, for example, the Open Geospatial Consortium (OCG, ) to provide increased access to high‐quality, high‐resolution, attribute‐rich geospatial data sets are establishing new standards of precision and accuracy for analyses of bare‐earth and above‐ground features in natural and human‐altered landscapes.…”

Section: Discussionmentioning

confidence: 99%

“…The coverage of high-resolution data is increasing as well. In the Unites States, for example, future versions of the National Hydrography Data set will incorporate national, high-resolution elevation data (Viger, Rea, Simley, & Hanson, 2016) from the 3D Elevation Program (Sugarbaker et al, 2017). The 3D Elevation Program, a partnership led by the U.S. Geological Survey, is systematically collecting and processing enhanced elevation data for all U.S. states and territories.…”

Section: Discussionmentioning

confidence: 99%

“…States will be freely available online (Sugarbaker et al, 2017). These and other efforts, for example, the Open Geospatial Consortium (OCG, 2017) to provide increased access to high-quality, high-resolution, attribute-rich geospatial data sets are establishing new standards of precision and accuracy for analyses of bare-earth and above-ground features in natural and human-altered landscapes.…”

Section: Discussionmentioning

confidence: 99%

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Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

Epting

Hosen

Alexander

et al. 2018

Hydrological Processes

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Geographically isolated wetlands, those entirely surrounded by uplands, provide numerous landscape‐scale ecological functions, many of which are dependent on the degree to which they are hydrologically connected to nearby waters. There is a growing need for field‐validated, landscape‐scale approaches for classifying wetlands on the basis of their expected degree of hydrologic connectivity with stream networks. This study quantified seasonal variability in surface hydrologic connectivity (SHC) patterns between forested Delmarva bay wetland complexes and perennial/intermittent streams at 23 sites over a full‐water year (2014–2015). Field data were used to develop metrics to predict SHC using hypothesized landscape drivers of connectivity duration and timing. Connection duration was most strongly related to the number and area of wetlands within wetland complexes as well as the channel width of the temporary stream connecting the wetland complex to a perennial/intermittent stream. Timing of SHC onset was related to the topographic wetness index and drainage density within the catchment. Stepwise regression modelling found that landscape metrics could be used to predict SHC duration as a function of wetland complex catchment area, wetland area, wetland number, and soil available water storage (adj‐R 2 = 0.74, p < .0001). Results may be applicable to assessments of forested depressional wetlands elsewhere in the U.S. Mid‐Atlantic and Southeastern Coastal Plain, where climate, landscapes, and hydrological inputs and losses are expected to be similar to the study area.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

Epting

Hosen

Alexander

et al. 2018

Hydrological Processes

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“…Elevation data acquired for our study consisted of 1/3 arc-second (~10 m) digital elevation models [13] (DEM) and were acquired using the USGS file transfer protocol image service [23]. These data are the source for our topographic dataset (TOPO).…”

Section: Data Sourcesmentioning

confidence: 99%

A Comparison of Standard Modeling Techniques Using Digital Aerial Imagery with National Elevation Datasets and Airborne LiDAR to Predict Size and Density Forest Metrics in the Sapphire Mountains MT, USA

Ahl

Hogland

Brown

2019

IJGI

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In recent years airborne Light Detection and Ranging (LiDAR) technology has received a great deal of attention. Using airborne LiDAR, analysts have successfully related height measurements to forest characteristics such as tree size, basal area, and number of trees. Similarly, National Agricultural Imagery Program (NAIP) digital aerial imagery in combination with elevation datasets such as the National Elevation Dataset (NED) have been used to estimate similar forest characteristics. Few comparisons, however, have been made between using airborne LiDAR, NAIP, and NED to estimate forest characteristics. In this study we compare airborne LiDAR, NAIP, and NAIP assisted NED based models of forest characteristics commonly used within forest management at the spatial scale of field plots and forest stands. Our findings suggest that there is a high degree of similarity in model fit and estimated values when using LiDAR, NAIP, and NAIP assisted NED predictor variables.

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“…The primary remote sensing datasets we used in our analyses are a digital elevation model (DEM) with a 10 m horizontal resolution and~5 m vertical accuracy (Sugarbaker et al, 2017) and public domain aerial orthoimagery with resolution of~0.25 m (USGS, 2010). We define the fan apex as the location where contours shifted direction from concave (convergent flow) to convex (divergent flow), lateral fan boundaries by an abrupt end of convex form, and fan toes by the sharp change in slope and an end to convex contour orientation.…”

Section: Methods and Datamentioning

confidence: 99%

Depositional processes of alluvial fans along the Hilina Pali fault scarp, Island of Hawaii

Morgan

Craddock

2017

Geomorphology

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A series of previously unstudied alluvial fans are actively forming along the Hilina Pali escarpment on the south flank of Kīlauea volcano on the Island of Hawaii. These fans are characterized by their steep slopes, coarse grain sizes, and lobate surface morphology. Fans are fed by bedrock channels that drain from the Ka'ū Desert, but sediment is mostly sourced from deeply eroded alcoves carved into the Hilina Pali. Examination of recent deposits indicates that the fans are dominantly constructed from gravel and larger sized sediment. Flow discharges calculated using field measurements of channel geometries and the Manning equation indicate that events inducing sediment transport are of high magnitude and occur during high intensity precipitation events, including Kona storms. The fans along the Hilina Pali appear to be a rare example of fans formed predominately from sieve lobe deposition owing to the area's high slopes, high discharge, coarse bedload, and limited supply of finegrained sediment. Given such conditions, sieve lobe deposition can form large lobes consisting of bouldersized material, which may have implications for the identification of depositional processes when interpreting the stratigraphic record.

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Status of the 3D Elevation Program, 2015

Cited by 21 publications

References 2 publications

Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

A Comparison of Standard Modeling Techniques Using Digital Aerial Imagery with National Elevation Datasets and Airborne LiDAR to Predict Size and Density Forest Metrics in the Sapphire Mountains MT, USA

Depositional processes of alluvial fans along the Hilina Pali fault scarp, Island of Hawaii

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