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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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A compilation of all known nest records and locations to identify landscape-scale parameters (distance to coast, elevation, slope, and land cover) that provide potential nesting habitat in four regions: northern Alaska, Aleutian Islands, Alaska Peninsula Mountains and Kodiak Island, and Pacific Coastal Mountains (including nearshore interior Canada). These data support the following publication: Felis J.J., Kissling M.L., Kaler R.S.A., Kenney L.A., Lawonn M.J., 2016. Identifying Kittlitz’s Murrelet nesting habitat in North America at the landscape scale. Journal of Fish and Wildlife Management 7(2):xx-xx; e1944-687X. doi: 10.3996/112015-JFWM-116
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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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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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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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Groundwater-quality data collected between 1993 and 2015 were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS) database for 722 wells in the San Joaquin Valley (SJV). Groundwater-quality data retrieved included lab analyses of complete major ion data (calcium, magnesium, sodium, potassium, chloride, sulfate, nitrate, alkalinity, bicarbonate, carbonate, silica, and TDS) for 613 samples, and an additional 109 samples with measured values of specific conductance. Most of these wells were sampled as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project or the USGS National Water Quality Assessment (NAWQA) Program. In addition...
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One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 2014 digital elevation model (DEM), a study area boundary, and a geomorphic map. The 2014 DEM was derived from an available aerial LiDAR dataset collected in 2014 by the California Department of Conservation. The geomorphic map was derived for the study area from using a multi-scale spatial analysis. A topographic...
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...
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This data set consists of monthly averages of soil and litter properties. Rows are grouped in the following order: year, month, vegetation type, plot ID. Within a single month five plots were sampled within each of the 2 vegetation types (10 plots total). Columns F+ represent individual measurements.
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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....
map background search result map search result map Nest Locations for the Kittlitz Murrelet UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Open River 2 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 Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 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 Effects of Flood Inundation and Invasion by Phalaris arundinacea on Nitrogen Cycling in an Upper Mississippi River Floodplain Forest data 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 Study Area Boundary Malakoff DIggins State Historic Park, California Study Area Boundary Malakoff DIggins State Historic Park, California 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 12 UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Illinois River Lockport Pool UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Open River 2 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 Conservation Planning for the Colorado River in Utah - Stillness of water for Bat Watering Model Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species 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 - Access to the Site for Relative Cost of Restoration Model 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 Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Nest Locations for the Kittlitz Murrelet