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This dataset features suitable habitat connected to the main channel (based on floodplain inundation) within managed areas at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. Depth rasters were exported from HEC-RAS 5.0.0. Since the lower section...
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http://archive.ilmb.gov.bc.ca/cis/initiatives/ias/btm/index.htmlThis GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). The statewide analysis quantifies current connectivity patterns for Washington State and adjacent areas in British Columbia, Idaho, Oregon and a small portion of Montana. Available WHCWG raster data include model base layers,...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape.
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape.
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Shifting Climate Zones as a top 3 ecosystem stressor in the Montane Ecosystem Functionality category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Availability of Water as a top 3 ecosystem service that could benefit from collaborative conservation in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for...
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
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Geographic ranges of pine savanna and woodland types in the southeastern U.S. Divisions are based on composition and abundance of overstory trees and ground-layer grasses. Overstory tree species include longleaf pine and slash pine. Data for Figure 4 in:Peet, R.K., Platt, W.J., Costanza, J.K. 2018. The ecology and management of fire-maintained savanna ecosystems of the Southeastern U.S. Coastal Plain. Chapter in: Ecology and Recovery of Eastern Old-Growth Forests. Editors: Keeton, W., Barton, A., Island Press.
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Vegetation and land cover data for Upper Klamath NWR. This dataset is based on interpretation of 2014 near-infrared imagery produced by the National Aerial Imagery Program of the U.S. Department of Agriculture with input on the general vegetation composition provided by local refuge staff. Field data at the species level were not available and further work is needed to refine this product to meet the convention of the National Vegetation Classification System. In addition, no validation was performed on this dataset.
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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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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Condition Index ranks pixels (10-m) according to how well they meet the Desired State for the Tidal Marsh habitat system, which is described qualitatively and quantitatively in the GCPO LCC’s draft Integrated Science Agenda (v4). Higher values indicate sites closer to the Desired State. Value of 2 indicates areas appropriate for restoration but currently under an alternative land use (i.e. potential habitat). Value of 1 indicates areas projected by USGS to become Tidal Marsh under a 2-m sea-level rise scenario. Please see...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Management Opportunity action map for the Upland Hardwood (Woodland) habitat system ranks pixels (250-m) for 3 general classes of conservation actions. Maintenance pixels (values 7-9) are currently estimated to meet the site condition Endpoints in the GCPO LCC’s draft Integrated Science Agenda (v4). Enhancement pixels (values 4-6) are those that are currently classified as Upland Hardwood (Woodland) but do not meet the site condition Endpoints in the Science Agenda. Restoration pixels (values 1-3) are those that are currently...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. It represents a relative ranking of HUC12 watersheds according to the quantity and quality of habitat as described in the GCPO LCC’s draft Integrated Science Agenda (v4). Watersheds (HUC12) were ranked by the presence, quantity and quality of the Upland Hardwood (Woodland) habitat system (includes upland hardwood forest, oak-hickory forest, and oak-hickory woodlands) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of the total Upland Hardwood...
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The grassland condition index raster data layer assigns to each 30 meter pixel in the GCPO a condition index score generated by the presence or absence of a set of desired conditions such as patch size, vegetation height, etc. This grassland bar code layer indicates which conditions contributed to the index value score, and by how much, by use of a nine-digit code. The digits in the code represent the following input conditions in order: potential for restoration, presence of a grassland ecological system, presence of prairie (a subset of grasslands characterized by the presence or dominance of native vegetation), configuration in a patch > 100 acres, and the four site-level condition endpoints: vegetation height...


map background search result map search result map Washington Connected Transboundary Land Cover Dataset Landcover and Vegetation, Ruby Lake NWR Hunting Area, Ruby Lake NWR Land Cover, Modoc National Wildlife Refuge Land Cover and Vegetation data for Upper Klamath National Wildlife Refuge Percent catchment under crop-rivers GCPO Grassland Condition Bar Code NOAA Sea Level Rise Data (1-6 ft) for Tijuana Slough NWR Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Tidal Marsh Condition Index Upland Hardwood Woodland Management Opportunities Upland Hardwood Woodland Watershed Ranks PRMS_Model_IHA_Metrics_Median_Future_Difference Pine Savannas And Woodlands of the Southeastern U.S. Availability of Water Economics for Wildlife Management Grasslands - Habitat Fragmentation and Loss Stressor - Desertification Montane - Ecosystem Functionality Stressors - Shifting Climate Zones River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning within managed areas in the lower Trinity River of Texas Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 Hunting Area, Ruby Lake NWR Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Land Cover, Modoc National Wildlife Refuge Land Cover and Vegetation data for Upper Klamath National Wildlife Refuge Montane - Ecosystem Functionality Stressors - Shifting Climate Zones Availability of Water Economics for Wildlife Management Grasslands - Habitat Fragmentation and Loss Stressor - Desertification Tidal Marsh Condition Index Upland Hardwood Woodland Watershed Ranks GCPO Grassland Condition Bar Code Upland Hardwood Woodland Management Opportunities Washington Connected Transboundary Land Cover Dataset Percent catchment under crop-rivers Pine Savannas And Woodlands of the Southeastern U.S. PRMS_Model_IHA_Metrics_Median_Future_Difference NOAA Sea Level Rise Data (1-6 ft) for Tijuana Slough NWR