The route of the Trans-Alaska Pipeline was received from Alyeska Pipeline Service Company via the State Pipeline Coordinator's Office. The original projection was Transverse Mercator. Annotation for the pipeline was added by DNR via the annotation sub class 'PIPE'.

Written permission to include these data as part of the ADNR digital base map has been received from the Alyeska Pipeline Service Company.

This North Slope infrastructure GIS dataset includes roads (line), pipelines (line) and developed areas (polygon) as separate feature classes. Downloads are in shapefile and geodatabase format. Major, maintained road features on the North Slope are provided. Minor connections or roads within developed areas may not be represented or are generalized. Above surface pipeline features are provided. Multiple adjacent pipelines may be represented as one pipeline, features along routes may be simplified and pipelines within developed areas omitted. Developed area features include gravel pads, material pits, constructed water features and village areas. Road locations within villages have been updated using Alaska Department of Transportation GIS data. Road, pipeline and developed area feature attributes have been assigned oil and gas unit designations using Alaska Division of Oil and Gas GIS data. The Trans-Alaska Pipeline (TAPS) was not digitized and is available via the link below. These infrastructure data were originally compiled by Audubon in 2014 and provided to the Bureau of Land Management (BLM) Rapid Ecological Assessment (REA) project for the North Slope region. Those data were edited by the Alaska Center for Conservation Science (ACCS) for the REA and released for public distribution on the BLM/REA website. The North Slope Science Initiative (NSSI) subsequently updated the REA product using high resolution imagery as a verification base and heads up digitizing to produce an initial version of this infrastructure dataset. Annual updates to these data have been performed by ACCS and funded by BLM. These updates are based on interpretation of 2022 Sentinel imagery for the Prudhoe Bay development area and other image products as available for the greater North Slope region. All locations are approximate. Neither ACCS, BLM, NSSI or other contributors to this dataset shall be held liable for improper or incorrect use of the data described and/or contained herein. In an effort to provide the most comprehensive overview possible, these updates have incorporated many data sources, using a variety compilation methods. As a result, there are a variety of limitations to the thematic and spatial accuracy of these data. The appropriate use of these data is the responsibility of the user. A link to a web map containing this infrastructure data as well as land ownership and administrative information is provided below.

refstat.CL.Infrastructure_TransAlaska_Pipeline

no abstract provided

During the 2017 field season, geologists from the Alaska Division of Geological & Geophysical Surveys (DGGS) conducted geologic mapping and sampling of part of the Richardson mining district southeast of Fairbanks, Alaska. The project area is about 30 miles west of the Pogo gold mine and covers gold exploration activity at the Montecristo and Uncle Sam properties. This work aims to build an improved understanding of the area's geology and controls on gold mineralization for purposes of exploration targeting and mineral-resource assessment. The 260-square-mile map area lies between the Salcha River and Shaw Creek and is bounded by the Trans-Alaska Pipeline access road to the southwest. The area is characterized by forested, moderate-relief hills blanketed by vegetation, loess, and locally, sand dunes. Rock outcrop is less than one percent; consequently, the map interpretation relies heavily on the DGGS East Richardson airborne magnetic and electromagnetic survey as well as rocks collected from pits dug into rocky colluvial deposits below surficial loess or sand. The complete report, geodatabase, and ESRI fonts and style files are available from the DGGS website: http://doi.org/10.14509/30676.

Energy and utilities data from the Alaska Energy Authority, Alaska Energy Data Gateway. Includes: - Hydroelectric - Hydrokinetic - Wind Power - Thermal Areas - Hot Springs - Sawmills - Energy Regions - Electric Utility Lines - TAPS Pipeline - Volanoes and Vents - Solar PowerSource: Alaska Energy AuthorityThis data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Energy Data Gateway

Squads of scientists this summer have joined the caribou and Dall sheep, eiders and eagles, moose and muskrat, salmon and grayling that inhabit the proposed natural gas pipeline route through Alaska. The scientists are there to catalog, cross-check and verify the exact nature of that route - from the animals to the permafrost and faults - before the first trench can be carved for the major pipeline from Alaska through Canada.

The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Yukon Flats Assessment Area is located in east-central Alaska, encompassing part of Yukon-Koyukuk Census Area County in Alaska. The main population centers within the study area are Fort Yukon, Venetie, Stevens Village, and Beaver, Alaska. The main highways, State Route 4 and the Trans-Alaska Pipeline System crosses the western tip of the Yukon Flats Assessment Area and State Route 6 enters the Yukon Flats Assessment Area near the south-east corner approximately 7 km east of Miller House Alaska, and travels north-east to Circle, Alaska on the Yukon River. The Yukon River and Porcupine River and their tributaries drain the area. For this study the Yukon Flats Assessment Area is a region of low, forested hills and flatlands with numerous streams and lakes, situated generally to the east of the Trans-Alaska Pipeline System. The assessment area boundary was drawn to include the geologic structures generally considered to be in or bounding the Yukon Flats Assessment Area.

The goal of the Alaska Advanced Very High Resolution Radiometer (AVHRR) project is to compile a time series data set of calibrated, georegistered daily observations and twice-monthly maximum normalized difference vegetation index (NDVI) composites for Alaska's annual growing season (April-October). This data set has applications for environmental monitoring and for assessing impacts of global climate change. An Alaska AVHRR data set is comprised of twice-monthly maximum NDVI composites of daily satellite observations. The NDVI composites contain 10 bands of information, including AVHRR channels 1-5, maximum NDVI, satellite zenith, solar zenith, and relative azimuth. The daily observations, bands 1-9, have been calibrated to reflectance, scaled to byte data, and geometrically registered to the Albers Equal-Area Conic map projection. The 10th band is a pointer to identify the date and scene ID of the source daily observation (scene) for each pixel. The compositing process required each daily overpass to be registered to a common map projection to ensure that from day to day each 1-km pixel represented the exact same ground location. The Albers Equal-Area Conic map projection provides for equal area representation, which enables easy measurement of area throughout the data. Each daily observation for the growing season was registered to a base image using image-to-image correlation. The NDVI data are calculated from the calibrated, geometrically registered daily observations. The NDVI value is the difference between near-infrared (AVHRR Channel 2) and visible (AVHRR Channel 1) reflectance values divided by total measured reflectance. A maximum NDVI compositing process was used on the daily observations. The NDVI is examined pixel by pixel for each observation during the compositing period to determine and retain the maximum value. Often when displaying data covering large areas, such as AVHRR data, it is beneficial to include an overlay of either familiar linework for reflectance or polygon data sets to derive statistical summaries of regions. All of the linework images represent lines in raster format as 1-km cells and the strata are represented as polygons registered to the AVHRR data. The linework and polygon data sets include international boundaries, Alaskan roads with the Trans-Alaska Pipeline, and a raster polygon mask of the State.

The engineering-geologic map, on two sheets, is derived electronically from the surficial-geologic map of the initial segment of the proposed natural gas pipeline corridor through the upper Tanana valley (Reger and others, PIR 2008-3a) using Geographic Information System (GIS) software. Surficial-geologic units were initially identified by interpretation of false-color ~1:63,000-scale infrared aerial photographs taken in July 1978, August 1980, and August 1981 and locally verified by field checking in 2006 and 2007. The map shows the distribution of surficial-geologic and bedrock units grouped genetically with common properties that are typically significant for engineering applications.

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The engineering-geologic map is derived electronically, using Geographic Information System (GIS) software, from the surficial-geologic map of the second segment of the proposed natural gas pipeline corridor through the upper Tanana valley, a 12-mi-wide (19.3-km-wide) area that straddles the Alaska Highway through the upper Tanana River valley from the Robertson River eastward to near Tetlin Junction in the Tanacross Quadrangle (Reger and Hubbard, PIR 2009-6A). Surficial-geologic units were initially identified by interpretation of false-color ~1:65,000-scale infrared aerial photographs taken in July 1978, August 1980, and August 1981 and locally verified by field checking in 2007 and 2008. The map shows the distribution of surficial-geologic and bedrock units grouped genetically with common properties that are typically significant for engineering applications.

This map contains a group of vegetation maps at three scales in the vicinity of the Toolik Field Station, Alaska. The maps are intended to support research at the field station. The front side of the map contains a vegetation map and ancillary maps of a 751 km² region surrounding the upper Kuparuk River watershed, including the Toolik lake and the Imnavait Creek research areas, as well as portions of the Dalton Highway and Trans-Alaska Pipeline from the northern end of Galbraith Lake to Slope Mountain. The back side of the map shows more detailed vegetation maps of the 20-km² research area centered on Toolik Lake and a 1.2-km² intensive research grid on the south side of Toolik Lake. All the maps are part of a hierarchical geographic information system (GIS). They are vector (shp) files, displaying the vegetation (14 units), the glacial geology (20 units), and surficial geomorphology (11 units) (legend details: http://www.arcticatlas.org/maps/themes/uk/index). In addition there are raster images of the same extent, based on satellite data from SPOT (false-color infrared (CIR) and NDVI) and Landsat (NDVI trend 1985-2007). Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes: Elevation, Glacial Geology, Hydrology, Landform, Landsat NDVI trend 1985-2007, SPOT CIR, SPOT NDVI, Surficial Geology, Surficial Geomorphology, Vegetation References Walker, D. A. and H. A. Maier. 2008. Vegetation in the vicinity of the Toolik Field Station, Alaska. Institute of Arctic Biology, University of Alaska Fairbanks, Biological Papers of the University of Alaska #28.

During 2009, the Alaska Division of Geological & Geophysical Surveys continued a program, begun in 2006, of reconnaissance mapping of surficial geology in the proposed natural-gas pipeline corridor through the upper Tanana River valley. The study area is a 12-mi-wide (19.3-km-wide) area that straddles the Alaska Highway from the western boundaries of the Tanacross B-3 and A-3 quadrangles near Tetlin Junction eastward to the eastern boundaries of the Nabesna D-1 and C-1 quadrangles along the Canada border. Mapping during 2008-2009 in the Tanacross and Nabesna quadrangles linked with the mapping completed in the Tanacross, Big Delta and Mt. Hayes quadrangles in 2006-2008. Surficial geology was initially mapped in this third corridor segment by interpreting ~1:65,000-scale, false-color, infrared aerial photographs taken in July 1978 and August 1981 and plotting unit boundaries on acetate overlays. Verification of photo mapping was accomplished during the 2008 and 2009 summer field seasons, when map units were described, soil pits were hand dug, and samples were collected for analyses. The engineering-geologic map is derived electronically from the surficial-geologic map and shows the distribution of surficial-geologic and bedrock units grouped genetically with common properties that are typically significant for engineering applications.

This map contains a group of vegetation maps at three scales in the vicinity of the Toolik Field Station, Alaska. The maps are intended to support research at the field station. The front side of the map contains a vegetation map and ancillary maps of a 751 km^2 region surrounding the upper Kuparuk River watershed, including the Toolik lake and the Imnavait Creek research areas, as well as portions of the Dalton Highway and Trans-Alaska Pipeline from the northern end of Galbraith Lake to Slope Mountain. The back side of the map shows more detailed vegetation maps of the 20-km^2 research area centered on Toolik Lake and a 1.2-km^2 intensive research grid on the south side of Toolik Lake. All the maps are part of a hierarchical geographic information system (GIS). They are vector (shp) files, displaying the vegetation (14 units), the glacial geology (20 units), and surficial geomorphology (11 units) (legend details: http://www.arcticatlas.org/maps/themes/uk/index). In addition there are raster images of the same extent, based on satellite data from SPOT (false-color infrared (CIR) and NDVI) and Landsat (NDVI trend 1985-2007). Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes: Elevation, Glacial Geology, Hydrology, Landform, Landsat NDVI trend 1985-2007, SPOT false-color infrared (CIR), SPOT NDVI, Surficial Geology, Surficial Geomorphology, Vegetation References Walker, D. A. and H. A. Maier. 2008. Vegetation in the vicinity of the Toolik Field Station, Alaska. Institute of Arctic Biology, University of Alaska Fairbanks, Biological Papers of the University of Alaska #28.

This dataset is a comprehensive inventory of Alaskan buildings, storage tanks, and roads that were: (1) detected from 0.5 meter resolution satellite imagery of communities (acquired between 2018-2023) and (2) supplemented by OpenStreetMap data. We created HABITAT (High-resolution Arctic Built Infrastructure and Terrain Analysis Tool), a deep learning-based, high-performance computing-enabled mapping pipeline to automatically detect buildings and roads from high-resolution Maxar satellite imagery across the Arctic region. Shapefiles beginning with "HABITAT_AK" contain only the post-processed deep learning predictions. Shapefiles beginning with "HABITAT_OSM" contain the post-processed deep learning predictions supplemented by OpenStreetMap data. The HABITAT pipeline is based on a ResNet50-UNet++ semantic segmentation architecture trained on a training dataset comprised of building and road footprint polygons manually digitized from Maxar satellite imagery across the circumpolar Arctic (including Alaska, Russia, and Canada). The code is made available at https://github.com/PermafrostDiscoveryGateway/HABITAT. From imagery of 285 Alaskan communities acquired between 2018-2023, we detected approximately 250,000 buildings and storage tanks (comprising a 41.76 million square meter footprint) and 15 million meters of road. Building (including storage tanks) footprint polygons and road centerlines were strictly mapped within the boundaries of Alaskan communities (both incorporated places and census designated places). After the deep learning model detected building and road footprints, post-processing was performed to smooth out building footprints, extract centerlines from road footprints, and remove falsely-detected infrastructure. In particular, a buffer is created around developed land cover identified by the 2016 Alaska National Land Cover Database map, and model predictions that fall outside of the buffer are assumed to be confused with non-infrastructure land cover. Finally, we selected buildings and roads from the OpenStreetMap Alaska dataset (downloaded in June 2024 from https://download.geofabrik.de/) that do not intersect with any deep learning predictions to generate a merged OSM and HABITAT infrastructure dataset. This merged product comprises a total building footprint of 53 million square meters and a road network of 63,744 km across the state of Alaska.

The land use authorization dataset includes the following authorization types: communication sites, facility/site, fiber optics/telephone, lease/permit, pipeline, power transmission, railroad, recreation and public purpose, road, water, and wind/solar.