High-resolution lidar data for infrastructure corridors, Mount Hayes Quadrangle, Alaska
type: Dataset
description: 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. Lake polygons represent areas of water bodies (excluding streams and rivers) > 150 square meteres, present at the time of lidar data collection.
keyword: alaska
keyword: alaska-highway-corridor
keyword: alaska-pipeline
keyword: amerigeo
keyword: amerigeoss
keyword: ckan
keyword: gasline
keyword: geo
keyword: geomorphology
keyword: geoss
keyword: lidar
keyword: lidar-lake-polygons
keyword: mount-hayes-quadrangle
keyword: national
keyword: north-america
keyword: proposed-natural-gas-pipeline
keyword: remote-sensing
keyword: shaded-relief
keyword: state-of
keyword: topographic-map
keyword: trans-alaska-pipeline
keyword: united-states
issued: 2025-11-20T07:26:57.613097
modified: 2025-11-20T07:26:57.613101
spatial: Location

US Migrating
type: Agent

SHP
type: Distribution
description: CSDGM IMPORT ERROR: No digtinfo/formcont
access URL: http://dx.doi.org/10.14509/22723
issued: 2020-11-10T16:14:22.897440
modified: 2025-11-20T07:26:57.599484

Web Resource
type: Distribution
access URL: http://dx.doi.org/10.14509/22723
issued: 2020-11-10T16:14:22.897451
modified: 2025-11-20T07:26:57.599935

Web Resource
type: Distribution
access URL: http://dx.doi.org/10.14509/22722
issued: 2020-11-10T16:14:22.897457
modified: 2025-11-20T07:26:57.600364