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This dataset represents vegetation and landcover for Ruby Lake NWR. It was produced by the U.S. Fish and Wildlife Service, with field data collection provided by the University of Nevada, Reno. The process was iterative and took place over two calendar years and two field seasons. Additional data points were acquired in order to validate the map product and to develop a product that met a minimal accuracy level of 80%. The final classification is based on 2013 National Agricultural Imagery Program (NAIP) orthophotography, produced by the U.S. Department of Agriculture but additional datasets were also utilized, including a digital elevation model. The classification methodology uses a hybrid approach of pixel-based...
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This layer represents land cover classes mapped within the Modoc Wildlife Refuge. Mapping was completed using a combination of field data, object-based image analysis using Feature Analyst, and photo interpretation. Source data included 2005 CIR NAIP digital aerial photography, and Modoc National Wildlife Refuge data layers. Field data was collected by USFWS staff in May and June of 2007.
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This dataset depicts areas open to hunting on Ruby Lake NWR. Hunting is only allowed for the following: ducks (including mergansers), dark geese (including white-fronted and Canada geese), coots, common moorhens and snipe. All other species are prohibited from hunting within the refuge bounds.
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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This dataset describes groundwater quality monitoring wells in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin, and information associated with each unique well. This includes the values used for mapping plume boundaries, concentration trends for contaminants in each individual well, and monitoring optimization results from the Monitoring and Redediation Optimization System (MAROS) analysis.
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Mississippi. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Mississippi. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Hampshire. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Hampshire. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Tennessee. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Tennessee. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Southeast Aquatic Resource Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Southeast Aquatic Resource Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Alabama. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Alabama. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Iowa. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Iowa. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions in the...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Kansas. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Kansas. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Wyoming. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Wyoming. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment D - Lake Ontario...
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In 2007, American Wildlands (Bozeman, MT) initiated a "Priority Linkage Assessment" (PLA) through which we have identified, cataloged and prioritized the threats to, and opportunities for, maintaining connectivity in the U.S. Northern Rockies (Montana, Idaho and Wyoming). The process involved interviewing wildlife movement and connectivity experts from state and federal agencies, and independent biologists with proven knowledge of wide-ranging wildlife. The experts were asked to use their professional and personal experience in the field (knowledge of related scientific studies and their own field research) to identify important areas of wildlife connectivity ("linkages" - defined as as a specific area through which...
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Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department of Fish & Game, and U.S. Fish & Wildlife Service were aggregated to the nearest mile marker for major roads of the U.S. Northern Rockies. WGA connectivity flowlines were intersected with the road network and attributed to the nearest mile marker, along with their connectivity ranking, which indicates their expected relative importance to maintaining westwide connectivity. Values for potential risk factors, including average annual daily traffic (AADT), functional class, number of lanes, road surface width, landscape condition of surrounding habitat, ruggedness of surrounding landscape, and topographic position relative to surrounding...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: AADT, AADT, Carnivores, Carnivores, Connectivity, All tags...
ANTECEDENTES La Ley de Aguas Nacionales, que entró en vigor el 2 de diciembre de 1992, refuerza el marco institucional para la administración del recurso y consolida a la Comisión Nacional del Agua (CONAGUA) como autoridad federal única en materia de cantidad y calidad del recurso hidráulico nacional, superficial y subterráneo. Dentro de este Marco Institucional es que en 1992 se propone el desarrollo de un Sistema de Información Geográfica del Agua (SIGA) que se constituyera en una herramienta que permitiera integrar, consultar, analizar y desplegar la información georreferenciada para que las unidades de la CONAGUA realizaran con mayor eficiencia las labores de planeación y administración del agua. OBJETIVOS...
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This dataset depicts hunt areas for San Pablo Bay National Wildlife Reuge. It was produced by digitizing maps provided by refuge staff.
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This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Adirondack Park, Algal concentration, Blue Mountain Lake, Blue-green algae, Brant Lake, All tags...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Great Plains Fish Habitat Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Great Plains Fish Habitat Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they...


map background search result map search result map Iowa: NFHAP 2010 HCI Scores and Disturbances Kansas: NFHAP 2010 HCI Scores and Disturbances Tennessee: NFHAP 2010 HCI Scores and Disturbances Wyoming: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances New Hampshire: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Great Plains Fish Habitat Partnership Road-Killed Wildlife Carcass Frequency, Connectivity Value, and Potential Risk Factors by Mile Segment of U.S. Northern Rockies Major Roads (2008-2012) American Wildlands Priority Linkage Assessment Landcover and Vegetation, Ruby Lake NWR Hunting Area, Ruby Lake NWR Land Cover, Modoc National Wildlife Refuge Hunt Areas - San Pablo Bay National Wildlife Refuge CONAGUA Sistema de Información Geográfica del Agua (SIGA) Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 Segment D - Flood inundation map geospatial datasets for Lake Ontario, New York Vertical Profiles of Water Quality and Phytoplankton Data from Five Lakes in the Adirondack Park, New York State, 2021 Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 Hunting Area, Ruby Lake NWR Hunt Areas - San Pablo Bay National Wildlife Refuge Landcover and Vegetation, Ruby Lake NWR Segment D - Flood inundation map geospatial datasets for Lake Ontario, New York New Hampshire: NFHAP 2010 HCI Scores and Disturbances Tennessee: NFHAP 2010 HCI Scores and Disturbances Iowa: NFHAP 2010 HCI Scores and Disturbances Kansas: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances Wyoming: NFHAP 2010 HCI Scores and Disturbances American Wildlands Priority Linkage Assessment Vertical Profiles of Water Quality and Phytoplankton Data from Five Lakes in the Adirondack Park, New York State, 2021 Road-Killed Wildlife Carcass Frequency, Connectivity Value, and Potential Risk Factors by Mile Segment of U.S. Northern Rockies Major Roads (2008-2012) National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Great Plains Fish Habitat Partnership National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership CONAGUA Sistema de Información Geográfica del Agua (SIGA)