Digital Elevation Model, 0.5 m, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2012 ...

This 0.5m horizontal resolution digital elevation model (DEM) was developed from Airborne Laser Altimetry flown by Aerometric Inc, now know as Quantum Spatial, Inc. on August 12, 2012. One Mission was flown and the data jointly processed with Los Alamos National Laboratory (LANL) personnel to produc...

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Bibliographic Details
Main Authors: Wilson, Cathy, Gangodagamage, Chandana, Rowland, Joel
Format: Dataset
Language:English
Published: Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); NGEE Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) 2013
Subjects:
54 Environmental Sciences
Elevation;TERRAIN ELEVATION;DIGITAL ELEVATION/TERRAIN MODEL DEM;Topography;Land Surface;LIDAR;Lidar backscatter;DTLB-1;Barrow, Alaska;Arctic Coastal Plain;Intensive site 0;DTLB-2;Utqiagvik, Alaska;Barrow Environmental Observatory BEO;Intensive site 1
Arctic
Barrow
Alaska
Online Access:https://dx.doi.org/10.5440/1109234
https://www.osti.gov/servlets/purl/1109234/
Description
Summary:This 0.5m horizontal resolution digital elevation model (DEM) was developed from Airborne Laser Altimetry flown by Aerometric Inc, now know as Quantum Spatial, Inc. on August 12, 2012. One Mission was flown and the data jointly processed with Los Alamos National Laboratory (LANL) personnel to produce a 0.5m DEM covering a region approximately 2.8km wide and 12.5km long extending from the coast above North Salt Lagoon to south of Gas Well Road. This DEM encompasses a diverse range of hyrdrologic, geomorphic, geophysical and biological features typical of the Barrow Peninsula. Vertical accuracy at the 95% confidence interval was computed as 0.145m. The coordinate system, datum, and geoid for this DEM are UTM Zone 4N, NAD83 (2011), NAVD88 (GEOID09). The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the ...

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