Skip to main content
Advanced Search

Filters: Types: OGC WFS Layer (X) > Types: Citation (X) > Extensions: ArcGIS Service Definition (X)

68 results (55ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
thumbnail
Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
thumbnail
The Hydrology Point Feature Class defines natural/semi natual point hydrographic features (springs, seeps, tanks, guzzlers…) on RSL. The data for this point feature class was provided by the refuge.
thumbnail
This mapping documents the changes in extent and condition of vernal pool habitat in the Great Valley between 2005 and 2012. "Vernal pool habitat" is defined as vernal pools and the surrounding upland (typically grassland) habitat matrix. The 2005 basemap was created by using double-blind mapping protocol and included 21.4 million acres in and surrounding the Sacramento and San Joaquin valleys (Witham et al 2013). The area included in the 2012 remapping effort focused on the 807,820 acres identified in the 2005 map and areas immediately surrounding the previously mapped polygons. Special attention was paid to areas where habitat was being created through mitigation banking. The result of the 2012 remapping shows...
thumbnail
This dataset depicts 10 foot contours derived from the USGS 1/3 arc second (10m) digital elevation model.
thumbnail
These layers show land ownership and status of all Canadian and U.S. lands that fall within the boundaries of the Great Northern Landscae Conservation Cooperative. Layers were compiled from various sources, each with it’s own metadata reference file.
thumbnail
Contours generated from 10m National Elevation Dataset and clipped to the boundary of Modoc National Wildlife Refuge.
thumbnail
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
thumbnail
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...
thumbnail
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...
thumbnail
This dataset depicts vegetation and land cover for Klamath Marsh NWR. It was created using eCognition software and multiple sources of imagery. Field data were also collected at two different time to assist with image interpretation/classification. Details: This dataset was created by interpreting and classifying multiple image sources. These include: July 2005 2.5 meter Quickbird multispectral imagery, July 2005 ASTER 15 meter multispectral imagery, July 2006 Landsat 30 meter multispectral imagery, and December 2005 ASTER 15 meter multispectral imagery. Images were loaded into eCognition software which created polygons based on areas with similar image features. Statistics were then created for each polygon based...
thumbnail
This polygon depicts the area open for waterfowl hunting at Salinas River NWR. This dataset is used for mapping purposes only and all hunters should consult the refuge prior to engaging in hunting. Hunting seasons and other restrictions apply.
thumbnail
The Hydrology Polygon Feature Class defines areas of open water features on RSL. The polygon feature class is composed of National Hydrography Dataset (NHD) Plus Polygons and where the NHD Plus layer was insufficient, water bodies were digitized from 2010 National Agricultural Inventory Program (NAIP) 1 meter aerial imagery. Areas of open water are known to fluctuate based on rainfall and other factors, and therefore this dataset may not be accurate for other time periods.
thumbnail
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...
thumbnail
A raster dataset representing the resilience and resistance classes combined with greater sage-grouse breeding habitat probabilities. It was created to represent greater sage-grouse breeding habitat probabilities within each resilience and resistance class. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy. The R&R and the GRSG Breeding Habitat Probability raster were incorporated; the resulting raster contained 12 values: 26 - Unsuitable Probability and High R&R 27 - Unsuitable Probability and Moderate R&R 28 - Unsuitable Probability and Low R&R 51 - Low Probability and High R&R 52 - Low Probability and Moderate R&R 53...
thumbnail
We summarize available information on Pacific walrus haulouts from available reports, interviews with coastal residents and aviators, and personal observations of the authors. We provide this in the form of a georeferenced database that may be queried and displayed with standard geographic information system and database management software. The database contains 150 records of Pacific walrus haulouts, with a summary of basic characteristics on maximum haulout size, age-sex composition, season of use, and decade of most recent use. Citations to reports are provided as a bibliographic database.
thumbnail
Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
map background search result map search result map Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Sage-grouse Habitat Categories in Nevada and NE California (August 2014) GNLCC Jurisdictional Boundaries Parking Areas, Tule Lake NWR Hydrology point features, Ruby Lake NWR Hydrology polygon features, Ruby Lake NWR Contours, 10ft, Klamath Marsh NWR Contours, 10ft, Modoc NWR Vegetation and Land cover, Klamath Marsh National Wildlife Refuge, 2007 Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Appalachian LCC Landscape Conservation Design Phase 1 Regional Linkages Vernal Pools in California, 2012 Percent catchment under crop-rivers Amount of inflow stored in upstream dams-rivers GRSG Breeding Habitat Probabilities within R&R Classes Raster Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Waterfowl Hunt Area - Salinas River NWR Pacific Walrus Coastal Haulout Database 1852-2016 Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Waterfowl Hunt Area - Salinas River NWR Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Hydrology point features, Ruby Lake NWR Hydrology polygon features, Ruby Lake NWR Contours, 10ft, Modoc NWR Vegetation and Land cover, Klamath Marsh National Wildlife Refuge, 2007 Contours, 10ft, Klamath Marsh NWR Vernal Pools in California, 2012 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Appalachian LCC Landscape Conservation Design Phase 1 Regional Linkages Percent catchment under crop-rivers Amount of inflow stored in upstream dams-rivers GRSG Breeding Habitat Probabilities within R&R Classes Raster Parking Areas, Tule Lake NWR GNLCC Jurisdictional Boundaries NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Pacific Walrus Coastal Haulout Database 1852-2016 Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR