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This data depicts pipeline locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.
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Each community in the study area is served by an isolated grid, with its own generation and distribution infrastructure. All energy infrastructure in each community is within the community’s footprint. Barrow and Prudhoe Bay, the two largest population centers, rely completely on natural gas for generation of electricity. Nuiqsut relies both on natural gas and diesel. Other than Barrow and Prudhoe Bay, all other communities have small demand loads, and thus only generate less than a megawatt.
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Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - An aboveground live forest biomass map for the conterminous U.S., Alaska and Puerto Rico is derived from modeling field biomass estimates, collected nationwide by the USDA Forest Service Forest Inventory and Analysis (FIA) program, as functions of 250-m resolution satellite image products and other digital geographic layers....
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This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The Clean and Plentiful Water category in this web service includes layers illustrating the ecosystems and natural resources that filter and regulate water, the need or demand for clean and plentiful water, the impacts associated with water quality, and factors that place stress on water quality and supply. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States. Additional descriptive information about each attribute in this web service is located within each web...
Types: Citation; Tags: 12-digit HUCs, Agriculture, Air, Alabama, Alaska, All tags...
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This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The Food, Fuel, and Materials category in this web service includes layers illustrating the ecosystems and natural resources that provide or support the production of food, fuel, or other materials, the need or demand for these items, the impacts associated with their presence and accessibility, and factors that place stress on the natural environment's capability to provide these benefits. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States. Additional descriptive...
Types: Citation; Tags: 12-digit HUCs, Agriculture, Air, Alabama, Alaska, All tags...
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This dataset approximates areas available for utility-grade solar energy development under the Solar Energy Zone Alternative of the Solar Energy Development Programmatic Environmental Impact Statement (PEIS). Refer to the Solar Energy Development PEIS for more details.
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The use of scenarios was identified by the NSSI Oversight Group as a potentially important tool in helping identify future research and monitoring needs. Scenarios can provide a means to identify a plausible range of pathways by which an uncertain future may unfold. In that way, they can then be used to help guide agency considerations for how to effectively target research and monitoring efforts in a manner that will be most useful for resource management decision-making under uncertain future conditions. A collaboration to undertake that scenarios project was formed between NSSI, the University of Alaska Fairbanks, and GeoAdaptive, LLC, an internationally experienced geospatial scenarios consultant. This dataset...
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Utility lines were merged from various sources to provide the best comprehensive coverage of the Northwest Boreal LCC. This data depicts the spatial extent of electrical powerlines in the Central Yukon study area. Electrical lines, telephone lines, and pipelines were provided by Alaska Department of Natural Resources. The original statewide data was digitized from 1:63,360 and 1:250,000 USGS topographic maps. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.
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The use of scenarios was identified by the NSSI Oversight Group as a potentially important tool in helping identify future research and monitoring needs. Scenarios can provide a means to identify a plausible range of pathways by which an uncertain future may unfold. In that way, they can then be used to help guide agency considerations for how to effectively target research and monitoring efforts in a manner that will be most useful for resource management decision-making under uncertain future conditions. A collaboration to undertake that scenarios project was formed between NSSI, the University of Alaska Fairbanks, and GeoAdaptive, LLC, an internationally experienced geospatial scenarios consultant. This dataset...
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This dataset depicts wind energy priority areas developed by the BLM in Utah. This dataset was received from BLM without metadata.
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The use of scenarios was identified by the NSSI Oversight Group as a potentially important tool in helping identify future research and monitoring needs. Scenarios can provide a means to identify a plausible range of pathways by which an uncertain future may unfold. In that way, they can then be used to help guide agency considerations for how to effectively target research and monitoring efforts in a manner that will be most useful for resource management decision-making under uncertain future conditions. A collaboration to undertake that scenarios project was formed between NSSI, the University of Alaska Fairbanks, and GeoAdaptive, LLC, an internationally experienced geospatial scenarios consultant. This dataset...
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The use of scenarios was identified by the NSSI Oversight Group as a potentially important tool in helping identify future research and monitoring needs. Scenarios can provide a means to identify a plausible range of pathways by which an uncertain future may unfold. In that way, they can then be used to help guide agency considerations for how to effectively target research and monitoring efforts in a manner that will be most useful for resource management decision-making under uncertain future conditions. A collaboration to undertake that scenarios project was formed between NSSI, the University of Alaska Fairbanks, and GeoAdaptive, LLC, an internationally experienced geospatial scenarios consultant. This dataset...
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This data depicts locations of oil wells on the North Slope. The original data was created by the Alaska Oil and Gas Conservation Commission. Audobon Alaska provided the data as a spatial feature class to Alaska Natural Heritage Program.
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This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size, filtered to slopes less than 1%. This data was developed using the State University of New York/Albany satellite radiation model. This model was developed by Dr. Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the...
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Proposed and existing solar and wind project site data which was constructed in GIS at the California State BLM Office, using hardcopy legal information and/or maps obtained from the various field offices in California. The hardcopy information to backup the legal boundaries shown in GIS are stored at the California BLM State Office.


map background search result map search result map EnviroAtlas - Clean and Plentiful Water Metrics for the Conterminous United States EnviroAtlas - Food, Fuel, and Materials Metrics for Conterminous United States BLM REA COP 2010 Wind Power Density (W divided by m2) at 50 Meters Above Ground Level BLM REA COP 2010 Powerlines in the Western United States BLM REA COP 2010 Utah BLM Wind Energy Priority Areas BLM REA CYR 2013 Existing Oil Energy Sources in Communities in the Central Yukon BLM REA CYR 2013 Existing Wind Energy Sources in Communities in the Central Yukon BLM REA CYR 2013 Power lines in the Central Yukon study area BLM REA SOD 2010 Average Solar Resource Potential (filtered to less than 1% slope) BLM REA SOD 2010 BLM Solar Developable Areas (SEZ8) BLM REA SOD 2010 Wind Power Density (W/m2) at 50 Meters Above Ground Level BLM REA SOD 2010 CA BLM VerifiedRenewEnergy ROW Poly BLM REA NOS 2012 Existing Energy Sources in Communities in the North Slope - Oil BLM REA NOS 2012 Oil Wells on the North Slope BLM REA NOS 2012 High Development Scenario (2040) Barrow U.S. Coast Guard Station BLM REA NOS 2012 High Development Scenario (2040) Line Infrastructure on the North Slope BLM REA NOS 2012 High Development Scenario (2040) Point Infrastructure on the North Slope BLM REA NOS 2012 Medium Development Scenario (2040) Point Infrastructure on the North Slope BLM REA CYR 2013 Distribution of Woody Forest Biomass in the Central Yukon BLM REA YKL 2011 Alaska Pipelines 1:63,360 BLM REA NOS 2012 High Development Scenario (2040) Barrow U.S. Coast Guard Station BLM REA COP 2010 Utah BLM Wind Energy Priority Areas BLM REA SOD 2010 BLM Solar Developable Areas (SEZ8) BLM REA SOD 2010 CA BLM VerifiedRenewEnergy ROW Poly BLM REA NOS 2012 Medium Development Scenario (2040) Point Infrastructure on the North Slope BLM REA SOD 2010 Average Solar Resource Potential (filtered to less than 1% slope) BLM REA SOD 2010 Wind Power Density (W/m2) at 50 Meters Above Ground Level BLM REA COP 2010 Powerlines in the Western United States BLM REA COP 2010 Wind Power Density (W divided by m2) at 50 Meters Above Ground Level BLM REA NOS 2012 High Development Scenario (2040) Point Infrastructure on the North Slope BLM REA NOS 2012 High Development Scenario (2040) Line Infrastructure on the North Slope BLM REA NOS 2012 Oil Wells on the North Slope BLM REA NOS 2012 Existing Energy Sources in Communities in the North Slope - Oil BLM REA CYR 2013 Power lines in the Central Yukon study area BLM REA CYR 2013 Existing Oil Energy Sources in Communities in the Central Yukon BLM REA CYR 2013 Existing Wind Energy Sources in Communities in the Central Yukon BLM REA CYR 2013 Distribution of Woody Forest Biomass in the Central Yukon BLM REA YKL 2011 Alaska Pipelines 1:63,360 EnviroAtlas - Clean and Plentiful Water Metrics for the Conterminous United States EnviroAtlas - Food, Fuel, and Materials Metrics for Conterminous United States