Valid_Address_Points

FNSB Web Viewer

This map service shows the boundaries of the Fairbanks North Star Borough PM2.5 Nonattainment Area and the Air Quality Zones. The nonattainment area was designated in 2009 for violation of the Federal 2006 24-hour PM2.5 Standard. PM2.5 stands for particulate matter less than 2.5 microns in diameter.On October 2, 2018, Fairbanks North Star Borough (FNSB) voters passed a citizen initiative (Prop 4) that removed the FNSB’s authority to regulate wood stoves and other wood and coal fired heating devices. Therefore, the Department of Environmental Conservation’s Air Quality Division will be issuing air quality alerts, curtailment announcements, and conducting compliance and enforcement. DEC may either call the Alert or Curtailment for the entire nonattainment area, or for specific zones: North Pole Zone, Fairbanks Zone, Goldstream Zone, or a combination.For more information about DEC Curtailment and Alerts in the Fairbanks North Star Borough Nonattainment Area, visit http://dec.alaska.gov/air/anpms/communities/fbks-pm2-5-curtail-alert/For more information about the FNSB PM2.5 Nonattainment Area and air quality regulations affecting the area, visit http://dec.alaska.gov/air/anpms/communities/fbks-particulate-matter/The Air Quality Zone map data was created by FNSB GIS Division.The Nonattainment Area map data is produced by EPA and is based on the legal description of the nonattainment area in 74 FR 58688, https://www.federalregister.gov/articles/2009/11/13/E9-25711/air-quality-designations-for-the-2006-24-hour-fine-particle-pm25#h-38.

This data package contains roads and trails for the Bonanza Creek Experimental Forest in ArcGIS format. Geospatial_Data_Presentation_Form: vector digital data.

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 dataset represents all classified laser returns from the lidar survey and their associated geospatial coordinates.

Most of the roads and trails in and near our research areas.

This service combines parcel data from various local government bodies in Alaska and describes a subset of input fields using consistent field names. This service was designed for use in statewide applications that only require specific types of land parcel information, and benefit from having this information in a single service with a consistent schema. Any changes to input parcel data will trigger this service to update. Note that many input services do not include a truly unique identifier, or sometimes any identifier at all. The 'parcel_id' field contains a record identifier carried over from the input service, or is null if there is none. The 'local_gov' value of any record can be used to reference an input parcel web service in the table below.During processing, a *mostly unique identifier is created, called 'feature_id'. Duplicate values will occur for records that have identical 'local_gov' and 'parcel_id' values and also identical geometries. These cases are extremely rare (< 0.003%), and for the vast majority of records 'feature_id' is unique. Any duplicate values will be attached to parcels in the exact same place.Please reference original parcel web services if your use case requires official, authoritative, or comprehensive land parcel information. Local Government Parcel Web Service

    Anchorage Municipality
    https://services2.arcgis.com/Ce3DhLRthdwbHlfF/ArcGIS/rest/services/PropertyInformation_Hosted/FeatureServer/0


    Denali Borough
    https://arcgis.dnr.alaska.gov/arcgis/rest/services/OpenData/Administrative_BoroughParcels/FeatureServer/1

    Bristol Bay Borough
    https://services8.arcgis.com/MqzStQjDmKoNl0E6/ArcGIS/rest/services/TaxParcels_Related/FeatureServer/0


    Dillingham Census Area
    https://services3.arcgis.com/gdLTz4xpy5IxwbSz/arcgis/rest/services/ParcelsOnline/FeatureServer/0


    Fairbanks North Star Borough
    https://services.arcgis.com/f4rR7WnIfGBdVYFd/ArcGIS/rest/services/Tax_Parcels/FeatureServer/0


    Haines Borough
    https://services3.arcgis.com/pMlUMMROURtJLUZt/ArcGIS/rest/services/ParcelsOnline/FeatureServer/0


    Juneau City & Borough
    https://services.arcgis.com/kpMKjjLr8H1rZ4XO/arcgis/rest/services/Juneau_Parcel_Viewer/FeatureServer/0


    Kenai Peninsula Borough
    https://services.arcgis.com/ba4DH9pIcqkXJVfl/ArcGIS/rest/services/Redacted_Parcels_view/FeatureServer/0


    Ketchikan Borough
    https://services2.arcgis.com/65jtiGuzdaRB5FxF/ArcGIS/rest/services/KetchikanAKFeatures/FeatureServer/0


    Kodiak Island Borough
    https://services1.arcgis.com/R5BNizttyFKxRSMm/arcgis/rest/services/KIB_Parcels/FeatureServer/0


    Matanuska-Susitna Borough
    https://maps.matsugov.us/map/rest/services/OpenData/Cadastral_Parcels/FeatureServer/0


    Nome Census Area
    https://services9.arcgis.com/Oi9vFzXc8ZcONgM6/arcgis/rest/services/Parcels_Joined_with_Taxroll_Symbolized_by_Exempt/FeatureServer/0


    North Slope Borough
    https://gis-public.north-slope.org/server/rest/services/Lama/Parcels_sql/FeatureServer/9


    Petersburg Borough
    https://services7.arcgis.com/RqATEQTpM1W1xU9c/ArcGIS/rest/services/Lots/FeatureServer/0


    Sitka City & Borough
    https://services7.arcgis.com/EozEvrS4g3SEhtG3/ArcGIS/rest/services/Sitka_Parcels_2022/FeatureServer/0


    Wrangell City & Borough
    https://services7.arcgis.com/7cBSaoaaRaH5ojZy/arcgis/rest/services/Parcels/FeatureServer/0


    Yakutat City & Borough
    https://services2.arcgis.com/gRKiTtxkoTx0gERB/ArcGIS/rest/services/ParcelsOnline/FeatureServer/0

Mental Health Trust Authority (MHT) lands comprising 107,781 acres within the Fairbanks area have been classified for vegetation to determine timber type volume and acreage. Forest information from the State Division of Forestry’s (DOF) Draft Tanana Valley Inventory Update 2010 (Hanson 2010) is used as source data for the analysis. In addition data from the Tok Area Forestry tree weight study is used to estimate available biomass tons.

This data package provides data used to assess the roles of climate extremes, ecological succession, and hydrology in repeated permafrost aggradation and degradation in fens on the Tanana Flats, central Alaska. The package provides data on site environmental information, Fairbanks climate, vegetation cover, water levels and temperatures, as well as GIS files for fen change detection. The Site data include information on observers, locations, geomorphology, hydrology, soils, vegetation, and disturbance. The table has numerous fields that uses coding for class characteristics and these codes are described in the metadata as well as compiled in the ELS_Arctic_Boreal_Site_Soil_Veg_Code_Sheet_2020.docx. Alaska Climate records for Fairbanks (UAF Experiment Station) from 1904 to 2019 were acquired from the National Oceanic and Atmospheric Administration (https://www.ncdc.noaa.gov/cdo-web/). Additional data were obtained for the Nenana station (about 70 km southwest of Fairbanks), to fill in small data gaps (particularly precipitation/snow depth ruler measurements) in the Fairbanks record. We attributed the data with fields for summer (May-September) and winter periods (November-March) and hydrologic year (October-September) and calculated mean air temperature, precipitation, and snow depth by seasonal period (average of daily values) and year. The broad summer and winter periods were of interest because warmer and wetter summers increase soil heat input and warmer and snowier winters reduce soil heat loss. Fen hydrology data include information on fen water level/pressure and temperatures collected every two hours at seven sites within fens from 2011 to 2014. Vegetation composition and cover of fens, scrub, and forests was sampled to assess effects of thermokarst on vegetation change. Plant cover was determined by point-sampling at 100 points (including repetitive “hits” for all layers) distributed along 5 equally spaced rows (4-m long, 20 points per row) across the 10-m long plot. The plots were examined for additional species and a cover of 0.1% was assigned to all species not captured in the point sampling. Taxonomy follows that of the Flora of Alaska provisional checklist (https://floraofalaska.org/provisional-checklist/). The GIS files include two ArcMap GIS shapefiles on the systematically sampled widths of three large fen systems on the Tanana Flats. This 2019 dataset analyses change in fen widths by measuring widths of fens evident on high resolution imagery from 1949, 1978, 2003, and 2018. The data were collected in conjunction with a project to assess patterns and rates of thermokarst in lowland ecosystems in central Alaska. The project was funded by the U.S. Army SERDP program.

This table represent when a particular data table has been updated.

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 normalized digital surface models (nDSM) represent the above ground elevation of the highest laser return with all vegetation included.

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 dataset represents all classified laser returns from the lidar survey and their associated geospatial coordinates.

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 vegetation digital surface models (veg_DSM) represent the above ground elevation of the highest laser return with all vegetation greater than 20 cm above the ground included.

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.Lidar intensity images depict intensity values of the lidar-laser returns.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This is a non-authoritative, publicly contributed data source. This feature layer visualizes locations, areas and routes in and around Fairbanks AK deemed interesting by each contributor. Specific locations, such as landmarks, are entered as point features; Areas, such as parks, are entered as polygon features; Routes, such as trails, are entered as line features.

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. Bare-earth digital elevation models (DEM) represent the earth's surface with all vegetation and human-made structures removed.

Spot 5 pan-sharpened satellite image in the North Fairbanks area of the Tanana Valley, Alaska. This image was acquired and processed as part of the "Vegetation and Community Mapping of the Tanana Valley" project, conducted cooperatively by the State of Alaska Department of Natural Resources, Division of Forestry and Tanana Chiefs Conference. Originator: State of Alaska, Dept. of Nat. Resources, Division of Forestry. Publication_Date: 3/21/05. Geospatial_Data_Presentation_Form: remote-sensing image.

FAF Zones of concern were created to display areas that may be problematic for fire fighters, and for home owners to know the risks near or on their property or subdivision. The zones were created based on vegetation structure and access. This data has not been updated i recent years. It is still relevant but has not taken into account new construction for the past 10 years in the Fairbanks North Star Borough.

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 highest-hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included.