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This file contains the polygon SDE Feature Class for Federal Fluid Minerals(Oil and Gas) for the Bureau of Land Management(BLM)Montana/Dakotas. Federal Fluid Minerals as well as Federal Lease status and Indian Minerals/Leases are included. Plat maps are used to find federal mineral ownership and the Bureau of Land Management's LR2000 database is used to find current leasing status.
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This dataset represents ease of access to bottomland areas for vegetation treatments. Access may be by road, 4x4 near road, hike in by field crews or requiring overnight camping or raft access. Access is considered for each side of the river separately.
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This is a model showing general habitat diversity, including both the structural and cover type diversity. See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning for geoprocessing details.
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This dataset represents the relative average amount of non-woody cover within 2 ha) of bottomland along the Colorado River from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation...
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This dataset represents the variety (unique structural classes: water, bare, herbaceous, short shrubs, medium shrubs, short trees, tall trees) within 1 ha of bottomland areas. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation of ground qualities. Due to the "snapshot" nature of the aerial photos,...
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New active-source shallow seismic (shear-wave and acoustic-wave) measurements were obtained at 18 prioritized seismic monitoring station locations in the north San Francisco Bay area to measure site-specific ground motion amplification effects, soil depth, depth to bedrock (Z1.0 Vs=1 km/s), calculate site specific velocity-depth profiles and Vs30, and develop NEHRP site classifications for each location. This study was led by Principal Investigators Jamey Turner, Cooper Brossy, and Daniel O’Connell and field data were acquired by Glendon Adams and Lincoln Steele. Seismic monitoring sites that recorded high PGA values during the M6.0 Napa earthquake, proximal to higher population densities, and sites recommended...
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This map shows the channel boundary (2011) of the Colorado River mainstem between the Utah Colorado border and the upper pool of Lake Powell, Utah (146 miles). The channel boundary was mapped from public available NAIP imagery flown on June 28, 2011, when the river flow was 886 m3/s at the Cisco gage. The channel is subdivided into channel types: fast water (main channel, secondary channel), and still water types (backwater, isolated pool and tributary channel).
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Forest- Data collected once using GIS prior to fish sampling. Our approach was to focus the study on smaller, headwater catchments because larger streams drained areas containing both hemlock and mixed hardwood forest, making forest-specific comparison intractable. In addition, most of these larger watersheds were impacted by humans (e.g., impoundments, agriculture, quarries) that could confound our assessment of the influence of hemlock. Even after limiting the study to headwater catchments, other possible confounding factors remained; we controlled for landscape variability (i.e., terrain and stream size) through the sampling design and we excluded others (i.e., minimum catchment area,beaver activity) through...
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Raw data were collected in Shenandoah National Park during summer 2012. Air and temperature data were collected using temperature loggers at several stations throughout the park. These data were used in the publication of the manuscript "Accounting for groundwater influence on headwater stream thermal sensitivity to climate change" through the journal Ecological Applications. Water temperature data were collected at all 78 reach locations during the summer of 2012 (23 June–7 September). Temperature was measured every hour with a logger.
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This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
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This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
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This data collection consists of a synthetic stream network and associated catchments developed as the foundation for a Spatially Referenced Regressions on Watershed Attributes (SPARROW) dissolved-solids source and transport model for the Upper Colorado River Basin (UCRB). The SPARROW model requires a hydrologically connected representation of a stream network through which loads are transported from an upstream reach to the next reach downstream (Schwarz and others, 2006; Moore and others, 2004). Each stream reach or segment within this synthetic stream network has an associated local drainage area or catchment used to calculate catchment characteristics that may have an effect on loads being modeled. The synthetic...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification....
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification....
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...


map background search result map search result map 2012 Air and Temperature Data from Shenandoah National Park Fish Population and Hemlock data in Delware Water Gap Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management Conservation Planning for the Colorado River in Utah - Stillness of water for Bat Watering Model Conservation Planning for the Colorado River in Utah - General Diversity Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Diversity of All Structural Types for General Diversity Model Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species Model Conservation Planning for the Colorado River in Utah - Access to the Site for Relative Cost of Restoration Model Upper Colorado River Basin SPARROW model catchments and synthetic stream network - 2017 UMRR Mississippi River Navigation Pool 14 Bathymetry Footprint UMRR Mississippi River Navigation Pool 15 Bathymetry Footprint Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 20 UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Illinois River Lockport Pool UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 12 UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 15 UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Illinois River Starved Rock Pool UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 01 UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 01 UMRR Mississippi River Navigation Pool 15 Bathymetry Footprint UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 15 UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Illinois River Starved Rock Pool UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 20 UMRR Mississippi River Navigation Pool 14 Bathymetry Footprint UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 12 Fish Population and Hemlock data in Delware Water Gap UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Illinois River Lockport Pool 2012 Air and Temperature Data from Shenandoah National Park Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River Upper Colorado River Basin SPARROW model catchments and synthetic stream network - 2017 Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management