High-resolution lidar data for infrastructure corridors, Tyonek Quadrangle, Alaska
Dates
Publication Date
2011
Start Date
2010
End Date
2011
File Modification Date
2014-05-22 11:36:00
Citation
Hubbard, T.D., Braun, M.L., Westbrook, R.E., and Gallagher, P.E., 2011, High-resolution lidar data for infrastructure corridors, Tyonek Quadrangle, Alaska: State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys, http://dx.doi.org/10.14509/22722, http://dx.doi.org/10.14509/23005.
Summary
In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (light detection and ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications and construction [...]
Summary
In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (light detection and ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications and construction plans. The digital surface model represents percent canopy cover (between 0 and 1). Cover metric was computed in Fusion (McGaughey 2007), which assesses the percentage of total first returns within each cell that were returned from the canopy. For more specifics on Fusion Gridmetric outputs see the fusion manual (page 56).
