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This map is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI2 ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed March 27, 2016). Web services, which consist of standard implementations...
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This basedata service provides a cached service for users of Wyoming geospatial data using ESRI GIS. The service provides basedata for: Roads, Waterbodies, Rivers/Streams, Cities and County Boundaries. USE CONSTRAINTS: Users should follow use constraints found for each data layer available in the mapping service. Visit the Wyoming GeoLibrary for original metadata. WYGISC DOES NOT GUARANTEE 24/7 SUPPORT OF ITS UNFUNDED, FREE MAPPING SERVICES. WyGISC reserves the right to remove access to these services at any time.
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk map assessment, utilized within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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Mendenhall and others (1916) published depth-to-water data compiled in 1910 for all known wells in the San Joaquin Valley, California. Data for the 3,429 wells having depth-to-water of greater than zero feet were used to construct an interpolated depth-to-water surface for the entire SJV. This map represents groundwater levels in approximately 1910, prior to extensive development of the groundwater system. A depth-to-water contour map with contour lines of 5, 10, 15, and 25 meters below land surface was then drawn from this raster surface.
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Introduction In 2012, Hurricane Sandy created an open breach in the barrier island system along the south shore of Long Island, N.Y. This breach formed at a location known as Old Inlet and migrated rapidly westward over the winter storm season following Hurricane Sandy. In response, the National Park Service sought assistance from the USGS New York Water Science Center to help evaluate the hydrodynamics and geomorphology of the breach. The evaluation is centered on measurement of water velocities and depths within the breach, and collection of water levels with the Great South Bay adjacent to the breach. This project is part of a larger ongoing study prepared in coordination with the National Park Service...
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The acquisition of forest parameters by host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team...
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The acquisition of host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team (RMIT) utilized a...
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Two maps (PCT_BALOSS_AK - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS - see accompanying CONUS Grid and its associated metadata) represent, in map form, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, their pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
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Two maps (this grid, CONUS_BALOSSI and AK_BALOSSI - see accompanying Grid and its associated metadata) represent, in map form, the total potential BA loss resulting from the application of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, it is the compilation of all BA losses resulting from running all 188 models of agent/host interactions which result in mortality.
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Data inventories relate to the pilot areas selected by the Desert LCC Steering Committee to be the focus of landscape conservation design in 2016-2017. LCD Area Map Featured Datasets Map within Dos Rios Featured Datasets Map within Eastern Mojave Desert Featured Datasets Map within Madrean Watersheds
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
Linkage Mapper uses GIS maps of core habitat areas and resistances to identify and map linkages between core areas. Each cell in a resistance map is attributed with a value reflecting the energetic cost, difficulty, or mortality risk of moving across that cell. Resistance values are typically determined by cell characteristics, such as land cover or housing density, combined with species-specific landscape resistance models. As animals move away from specific core areas, cost-weighted distance analyses produce maps of total movement resistance accumulated. The tool identifies adjacent (neighboring) core areas and create maps of least-cost corridors between them. It then mosaics the individual corridors to create...
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This map is derived from pct_baloss, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, its pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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This ArcGIS Server service shaded relief provides a cached service for users of Wyoming geospatial data using ESRI GIS. The service provides scale-dependant representation of the 30 meter DEM shaded relief for Wyoming. USE CONSTRAINTS: Users should follow use constraints found for each data layer available in the mapping service. Visit the Wyoming GeoLibrary for original metadata. WYGISC DOES NOT GUARANTEE 24/7 SUPPORT OF ITS UNFUNDED, FREE MAPPING SERVICES. WyGISC reserves the right to remove access to these services at any time.
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Two maps (PCT_BALOSS - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS_AK - see accompanying Grid and its associated metadata) represent, in map form, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, their pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
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This ArcGIS Server serviceDRGs (Digital Raster Graphics), or topos (USGS Topographic Maps) provides a cached service for users of Wyoming geospatial data using ESRI GIS. The service provides scale-dependant representation of the 250,000, 100,000, and 24,000 topos for Wyoming. USE CONSTRAINTS: Users should follow use constraints found for each data layer available in the mapping service. Visit the Wyoming GeoLibrary for original metadata. WYGISC DOES NOT GUARANTEE 24/7 SUPPORT OF ITS UNFUNDED, FREE MAPPING SERVICES. WyGISC reserves the right to remove access to these services at any time.


map background search result map search result map Internet Mapping Service: Shaded Relief for Wyoming Internet Mapping Service: Topographic Maps (DRGs) for Wyoming Internet Mapping Service: Basemap Data for Wyoming Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Estimated total basal area (BA) - 2006 Modeled southern pine beetle basal area loss - 2006 Modeled root disease basal area loss - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases - 2006 Modeled mountain pine beetle basal area loss - 2006 Modeled pine engraver (Ips) beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Insect and Disease Risk, Contiguous US Landscape Conservation Design Data Inventory Historic Depth-to-Water, San Joaquin Valley, California, 1910 Web Services—Offshore of Gaviota, California Bathymetric and Tidal Discharge data for Wilderness Breach, Fire Island National Seashore, Long Island, NY, May 14, 2015 Bathymetric and Tidal Discharge data for Wilderness Breach, Fire Island National Seashore, Long Island, NY, May 14, 2015 Web Services—Offshore of Gaviota, California Historic Depth-to-Water, San Joaquin Valley, California, 1910 Internet Mapping Service: Shaded Relief for Wyoming Internet Mapping Service: Topographic Maps (DRGs) for Wyoming Internet Mapping Service: Basemap Data for Wyoming Landscape Conservation Design Data Inventory Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Modeled southern pine beetle basal area loss - 2006 Modeled root disease basal area loss - 2006 Modeled mountain pine beetle basal area loss - 2006 Modeled pine engraver (Ips) beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases - 2006 Insect and Disease Risk, Contiguous US Estimated total basal area (BA) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006