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geological survey network 10 m digital elevation model (dem)
10 M Digital Elevation Model (Dem), supplied by geological survey network, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/10+m+digital+elevation+model+(dem)/high+resolution+digital+elevation+models/pm39884192-106-2-2
Average 90 stars, based on 1 article reviews
10 m digital elevation model (dem) - by Bioz Stars, 2026-10
90/100 stars

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Article Title: The role of topographic variability in river channel classification
Article Snippet: These were obtained through analysis of the National Hydrography Dataset (HUC 1802) (US Geological Survey, 2013) in conjunction with a 10-m digital elevation model (DEM) of the study area (US Geological Survey, 2009).

Article Title: The occurrence of primary burrowing crayfish in terrestrial habitat
Article Snippet: A researcher’s perception of a target species’ landscape strongly influences the design of habitat studies conducted at broad spatial scales.. Consequently, researcher-dependent perceptions may misguide conservation efforts.. Although the life histories of some crayfish (i.e., primary burrowers) are centered on a fossorial existence independent of surface water, all North American crayfish are viewed in an aquatic context.

Article Title: Predicting foundation bunchgrass species abundances: model-assisted decision-making in protected-area sagebrush steppe
Article Snippet: We used a 10-m digital elevation model (DEM) for the Monument provided by the US Geological Survey National Elevation Dataset to provide a measure of elevation.

Article Title: Ecosystem size and flooding drive trophic dynamics of riparian spiders in a fire-prone Sierra Nevada river system
Article Snippet: 179 180 Disturbance variables: wildfire and floods 181 The catchment draining to each sampling reach was delineated using the watershed tool 182 in ArcGIS 10.1 (Esri, Redlands, California) from a 10-m 2 digital elevation model (DEM) of the 183 Yosemite region acquired from the YNP fire atlas and created by the US Geological Survey 184 (data available from the Integrated Resource Management Applications portal: 185 https://irma.nps.gov/DataStore/Reference/Profile/2218591; National Park Service 2014).

Derivative Assay:

Article Title: Modeling red oak borer, Enaphalodes rufulus (Haldeman), damage using in situ and ancillary landscape data
Article Snippet: Red oak borer, Enaphalodes rufulus (Haldeman) (Coleoptera: Cerambycidae), has been implicated as a contributing factor to oak decline and mortality in forests of Arkansas, Missouri, and Oklahoma.. A non-destructive rapid estimation procedure was used to determine red oak borer infestation histories of northern red oaks, Quercus rubra L., in a series of forest stands.. Twenty-three biotic and abiotic variables in 364 vegetationmonitoring plots were analyzed for possible inclusion in a data distribution-independent machine-learning decision tree model to predict red oak borer hazard conditions on the Ozark National Forest.



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