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Rural addresses that are assigned by the county are used by 911 system to find you in case of an emergency. If your property doesn’t have an address, or has an incorrect address it can delay the arrival of help during an emergency. If you purchase rural property in Fremont County, you will need to contact the Planning Department to get a rural address (a.k.a. physical address, or fire number) assigned to it. Even if you are buying property that has an already existing house or business on it, you should check with the Planning Department to make sure there is an address assigned to it. If you are planning to build on your property, be aware that some utility services will not install stubs/lines of service to your...
Rights of Way Corridors
Categories: Data;
Types: Downloadable;
Tags: BLM,
Corridors,
Federal Government,
Lands and Realty,
ROW,
The U.S. Geological Survey collected topographic data in cooperation with the U.S. Army Corps of Engineers to assist in the management of two recreation areas at Blue Mountain Lake and near Nimrod Lake in Arkansas. Data were collected March 3-4, 2020 using terrestrial light detection and ranging (T-lidar) surveying equipment, Global navigation Satellite System (GNSS) surveying equipment, and conventional surveying techniques. The surveyed locations had a parking area, boat ramp, and some small recreational structures. Each site was surveyed using a FARO 3D tripod-mounted T-lidar unit. Additionally, a topographic survey was conducted in order to georeference the lidar survey. These topographic data were collected...
Historical and projected suitable habitat of 14 tree and shrub species a under CCSM4 GCMs from 2000 to 2099 was predicted to assess projected climate change impacts in forest communities of North Central U.S. We obtained presence/absence record of each species from Forest Inventory and Analysis (FIA) data. required ata. Historical tme period ranges from 1971 to 2000, and projected time period ranges from 2071 to 2100. Random Forest was used to project historical and future suitable habitat of all species across West U.S. using the Biomod2 software programmed in R environment. We adopted a climate change scenarios generated from the experiments conducted under fifth assessment of Coupled Model Intercomparison Project...
A polygon dataset of current road footprints in the SNK REA derived from the Alaska Department of Natural Resources infrastructure data (see the process steps for details). (This data depicts infrastructure 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.)
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.
This dataset shows the distribution of investigated and proposed hydroelectric source sites.
This data depicts random points generated within ESRI modelbuilder. The methodology to generate these points is documented within the Current Subsistence toolbox, model: YKL_DV_B_C_Subsistence_Step1_RiverSegments.
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.
This dataset is a 100-meter cell resolution raster of estimated use of public supply water for the southwestern United States. The dataset was generated from 1:100,000-scale county boundary data, 2005 LandScan population data, and USGS estimated use of water in the United States in 2000.
This data set contains potential threat based on proximity to electrical transmission lines and cellular and wind turbine towers for the Greater Sage-Grouse in the Middle Rockies Ecoregion. This data set contains categorical values based on distances away from transmission lines and towers.
A line dataset of current (abandoned) and future railroads in the SNK REA - derived from the Alaska Infrastructure 1:63,360 line data set with modifications (see the process steps for details). This data depicts infrastructure 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.
This map shows distribution information for development change agents, specifically current and near term development change agents, current and near term landscape condition model (LCM), and major disturbed areas. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content...
This dataset contains the future renewable energy risk data layer, which was derived from solar and wind energy data (NREL) across the ecoregion. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The User is encouraged to carefully consider the content of the metadata file associated with these data.
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 (http://solareis.anl.gov/).
This data set contains distances between anthropogenic features and grasslands classified into three categories based on metrics from KEA tables in the Middle Rockies Ecoregion. Antrhropogenic fetures include roads, electrical transmission lines, housing density, wind turbine, and oil and gas wells, This data is intended for use at the ecoregional level and was derived from spatial environmental attributes and grasslands locations.
Areas of potential alternative/renewnable resources for wind power also hydroelectric and hydrokinetic also biomass energy. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data...
This dataset provides a measure of near-term high development, as an integration of several factors representing landscape development. This measure was calculated using a fuzzy logic model, which is represented in graphical format in \Vector\Change_Agents\Development\Documentation\COP_DV_logic_models.pptx This dataset represents the combination of energy, agriculture, urban, and recreation development. Original source data were summarized to 4KM reporting unit, and converted to fuzzy values (rescaled on a -1 to 1 value range) for input to the fuzzy logic model. These data include: utility lines, pipelines (from BLM), oil/gas wells (from BLM), oil/gas well anticipated development (from Holly Copeland 2009), mines...
This dataset shows the current distribution of Colorado Plateau Pinyon-Juniper Woodland (NatureServe Landcover) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute...
This raster is used to answer management questions (MQs) about where conservation elements (CEs) overlap with areas of high wind energy potential in the Mojave Basin and Range Ecoregion. The value indicated in the raster represents a normalized score between 0-1, the lower the value the few species and poorer modeled landscape condition (ecological integrity) expected. The higher the score, the more species and higher condition are expected. This layer seeks to address an article in the BLM Statement of Work 1.1.1 stated, Areas with High Potential for Renewable Energy Development (Required) (The Contractor shall a) locate areas identified (e.g., by DOE, USGS) as suitable for wind, solar, geothermal, and biomass...
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