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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.
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Description of condition index value scores for estuarine tidal marsh along and within 10 km of the GCPO LCC Gulf Coast subgeography. A series of raster calculations were used in a dichotomous decision-based framework to compile a per-pixel draft condition index value at a 10 m resolution for GCPO estuarine tidal marsh based on the number of configuration and condition endpoints met within each marsh pixel. Pixels not identified as a estuarine marsh but that were identified as having the potential to be marsh were given a score of 1, provided the pixels were not classified as developed. Potential estuarine tidal marsh pixels were derived from a combination of potential estuarine tidal marsh classes in the Landfire...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AQUATIC ECOSYSTEMS, AQUATIC ECOSYSTEMS, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Species occurrence records of the taxonomic class of Bivalvia in oceans within 1000 kilometers of the United States shoreline. This is a subset of the OBIS-USA dataset where Bivalvia records were queried on December 2, 2014. After initial queries, the remaining data were further queried to retain only samples within 1000 kilometers of the U.S. shoreline. Spatial queries were then used to remove samples overlaying land masses. Data are provided in a geodatabase format, as well as a comma seperated values format. OBIS-USA provides aggregated, interoperable biogeographic data collected primarily from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, Gulf of Mexico and...
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Average Temperature from 1985 to 2011: Dataset covering the Gulf of Mexico coast, clipped from the origional datset of the conterminous U.S., for the year 1985-2011. Contains spatially gridded mean monthly precipitation at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website. Data clip was obtained through climatewizard.org. Average Projected Temperature from 2000-2050: Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf...
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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.
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Average Precipitation: Dataset covering the Gulf of Mexico coast, clipped from the origional datset of the conterminous U.S., for the year 1985-2011. Contains spatially gridded mean monthly precipitation at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website. Data clip was obtained through climatewizard.org Standard and Projected Precipitation: Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection...
This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture....
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Landforms along the Pacific, Gulf of Mexico, and Atlantic coastlines for the conterminous United States are attributed with the relative vulnerability of horizontal erosion due to sea-level rise to characterize coastal zone stability. The position and extent of landforms are geospatially indexed as line-events where these coastal zone features are intersected by the linear-referenced 2013 - 2014 U.S. Geological Survey National Hydrography Dataset Coastline, which corresponds to the National Oceanic and Atmospheric Administration (NOAA) 2013 - 2014 mean high water level datum delineated in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach...
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The success of Gulf Coast restoration efforts hinge on partners sharing a common vision for conservation framed by explicit biological objectives for specific conservation targets. However, specific and explicit biological objectives that quantify what it means to actually share a common vision remain undefined. Therefore, this project's goal is to develop explicit biological objectives for a common suite of conservation targets representative of sustainable Gulf habitats across the four Gulf Landscape Conservation Cooperatives (LCCs)(i.e., Gulf Coast Prairie, Gulf Coastal Plains & Ozarks, Peninsular Florida, and South Atlantic) and, for a subset of those species, to use Bayesian Network models to link these biological...
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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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This data shows the data provided from NOAA. The data shows the Mean Sea Level Trends at the designated monitoring stations along the the Gulf Coast.
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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 includes 2022 data for the Louisiana Outer Coast Restoration Project for North Breton Island. Specifically, this data release includes a detailed habitat map, general habitat map, georeferenced imagery, and a bare-earth digital elevation model (DEM) developed from light detection and ranging data. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents...
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Delta Management at Fort St. Philip (BS-11) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Dedicated Dredging on the Barataria Basin Landbridge (BA-36) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land...


map background search result map search result map Greater than 50% Probability of Urbanization in the Gulf of Mexico in 2060 Bivalvia Subset of Ocean Biogeographic Information System (OBIS) - USA Dataset Collection for NFHP Thematic Viewer 20141202 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 Average, Standard and Projected Precipitation for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Change in Precipitation (Projected and Observed) and Change in Standard Precipitation For Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average Temperature  from 1985 to 2011 and Projected Average Temperature from 2000-2050 for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Change in Temperature (Projected and Observed) for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Average and Change Moisture Deficit for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Wave Height Data for the Gulf of Mexico Tidal Gauge Mean Sea Level Trends in the Gulf of Mexico Tidal Range Data for the Gulf of Mexico Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Gulf of Mexico National Hydrography Dataset Coastline Barcode Value for GCPO LCC Estuarine Tidal Marsh Biological planning units and aquatic extensions for the Gulf Coast Delta Management at Fort St. Philip (BS-11): 2021 land-water classification Delta Management at Fort St. Philip (BS-11): 2021 land-water classification Tidal Gauge Mean Sea Level Trends in the Gulf of Mexico National Assessment of Coastal Vulnerability to Sea-Level Rise in the Gulf of Mexico Wave Height Data for the Gulf of Mexico Tidal Range Data for the Gulf of Mexico Change in Precipitation (Projected and Observed) and Change in Standard Precipitation For Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Change in Temperature (Projected and Observed) for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Average and Change Moisture Deficit for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Barcode Value for GCPO LCC Estuarine Tidal Marsh Average, Standard and Projected Precipitation for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Average Temperature  from 1985 to 2011 and Projected Average Temperature from 2000-2050 for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Greater than 50% Probability of Urbanization in the Gulf of Mexico in 2060 Biological planning units and aquatic extensions for the Gulf Coast Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Gulf of Mexico National Hydrography Dataset Coastline Relative sediment delivery at the mouth of rivers in the Gulf of Mexico Bivalvia Subset of Ocean Biogeographic Information System (OBIS) - USA Dataset Collection for NFHP Thematic Viewer 20141202