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These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. These data have been reclassified to only show current urban and probability of urbanization >80%). More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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This is a continuous raster dataset identifying wetland basins/rice fields that are priority for freshwater enhancement to increase the quantity and/or quality of mottled duck brood rearing wetlandsin the Western Gulf Coast. The identification process is based on key biological parameters such as patch size, land use type, distance to brood rearing habitat, etc. Additionally, this raster datasets presents the data in a form that prioritizes habitat from more suitable to less suitable based on landscape metrics. The scale ranges from 1.99to .02, higher value designating higher priority for enhancement.
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
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Version 10.0 of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale...
Categories: Data, Data Release - Revised; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), All tags...
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These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
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This is an older version of the Southeast Blueprint. The Blueprint analysis, maps, and data on this site represent the level of value – high or medium – of healthy natural resources and their potential to benefit fish, wildlife and plants. It is part of our effort to reach beyond our Region’s conservation community’s to begin talking with a range of groups about areas that have value for conservation. This information is crafted to help us get a glimpse of the of the Region as we think about emerging trends, better planning and better conversations with everyone who has a stake in what the Southeast Region might look like in 2060. Private lands identified on the map may be good candidates for voluntary conservation...
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These data represent the extent of urbanization (for the years indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
This data release has been updated in 2017 with a newer version that includes additional states. It is recommended to use the updated data and map services of the new data release located at: https://doi.org/10.5066/F78W3CHG These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24, 000-scale) and the 15-minute (1:48, 000 and 1:62,500-scale) archive of the USGS Historical...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: Arizona (AZ), California (CA), Colorado (CO), Historical Topographic Maps Collection, Idaho (ID), All tags...
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
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This dataset represents the projected urban growth in the Northern Gulf of Mexico in 2060 with a 50% or greater probability of being urban. It was predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Doato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. More information about these data (along with downloadable ESRI GRID files) can be found at http://www.basic.ncsu.edu/dsl/urb.html
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Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
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The Potential Reforestation Index geospatial data product is a companion to the Forest Retention Index product from the Mapping the South’s Forests of the Future project. The Retention Index describes the likelihood that existing forests will remain in a forested condition at decadal time steps through 2060. The Potential Reforestation Index describes the likelihood that a non-forested land unit will be converted to forest cover at those same time steps. We used two datasets to determine areas currently occupied by agriculture that may be most conducive to reforestation efforts: National Commodity Crop Productivity Index (NCCPI) and Potentially Restorable Wetlands on Agriculture Land (PRWAg). The NCCPI is available...
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There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of this metadata report. Shoreline vectors derived from historic...
    map background search result map search result map SLEUTH Projected Urban Growth _ old Greater than 50% Probability of Urbanization in the Gulf of Mexico in 2060 Projected Urban Growth for the Gulf of Mexico Prioritization of Wetland Basins for Freshwater Enhancement for Mottled Ducks in the Western Gulf Coast Beach Nourishment in the Gulf of Mexico Historical Changes in Shoreline in the Gulf of Mexico National Assessment of Coastal Vulnerability to Sea-Level Rise in the Gulf of Mexico Relative sediment delivery at the mouth of rivers in the Gulf of Mexico Ports Located in the United States TX GCP ESM DRAFT - FOR REVIEW Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the Western United States SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] OUTDATED Southeast Blueprint v1.0 Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023) Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060 Prioritization of Wetland Basins for Freshwater Enhancement for Mottled Ducks in the Western Gulf Coast Beach Nourishment in the Gulf of Mexico Historical Changes in Shoreline in the Gulf of Mexico TX GCP ESM DRAFT - FOR REVIEW National Assessment of Coastal Vulnerability to Sea-Level Rise in the Gulf of Mexico Greater than 50% Probability of Urbanization in the Gulf of Mexico in 2060 Projected Urban Growth for the Gulf of Mexico Potential Reforestation Index for the South at 2030 Potential Reforestation Index for the South at 2040 Potential Reforestation Index for the South at 2050 Potential Reforestation Index for the South at 2060 SLEUTH Projected Urban Growth [Subset >80% Probability of Urbanization] Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the Western United States SLEUTH Projected Urban Growth _ old Relative sediment delivery at the mouth of rivers in the Gulf of Mexico OUTDATED Southeast Blueprint v1.0 Ports Located in the United States Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023)