Filters: Tags: Gulf of Mexico (X)
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High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi River Delta front. As the initial field program of a research cooperative between the U.S. Geological Survey, the Bureau of Ocean Energy Management, and other Federal and academic partners, the primary objective of this cruise was to assess the suitability of sea-floor mapping and shallow subsurface imaging tools in the challenging environmental conditions found across delta fronts (for example, variably distributed water column stratification and widespread biogenic...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 512i,
BOEM,
Bureau of Ocean Energy Management,
CMGP,
Coastal and Marine Geology Program,
The NOAA Hypoxia Watch project provides near-real-time, web-based maps of dissolved oxygen near the sea floor over the Texas-Louisiana continental shelf during a period that extends from mid-June to mid-July. The NOAA National Marine Fisheries Service Mississippi Laboratories at Pascagoula and Stennis Space Center and the NOAA National Coastal Data Development Center (NCDDC) at Stennis Space Center began the Hypoxia Watch project in 2001. Scientists aboard the NOAA Research Vessel Oregon II measure seawater properties, such as water temperature, salinity, chlorophyll, and dissolved oxygen at each of approximately 240 locations as the Oregon II cruises the waters south of Pascagoula, MS and then makes its way from...
These data include species occurrence records of fish in oceans within 1000 kilometers of the United States shoreline. This dataset is a subset of the OBIS-USA dataset as of December 2, 2014 and includes records of the taxonomic groups of Actinopterygii, Chondrichthyes, Myxini, Osteichthyes, and Petromyzontida. After initial taxonomic 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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Abundance (organisms),
Anadromous species,
Aquatic animals,
Aquatic environments,
Aquatic habitats,
This dataset is extracted from PAD-US 1.1 (CBI Edition), and the original metadata has been included here. These protected areas were roughly identified by the Conservation Biology Institute as being the "Secondarily" threatened by the Deepwater Horizon oil spill in the Gulf of Mexico. The probability of being affected was determined using the University of South Florida's Deepwater Horizon oil spill trajectory forecast from the WFS ROMS numerical model, as projected for 06/03/2010 at 00h UTC (http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html). For more information, please see the Oil Spill in the Gulf of Mexico page at Data Basin (http://www.databasin.org/aquatic-center/features/oil-spill or http://www.databasin.org)....
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 05/20/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents Global HYCOM model output for particles for May 20, 2010 at 00 hour UTC.
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 05/20/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents SABGOM model output for particles for May 20, 2010 at 00 hour UTC.
This dataset shows the approximate location of the Deepwater Horizon oil rig and the site of the origin of the resulting oil spill.
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 06/10/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents WFSROMS model output for particles for June 13, 2010 at 00 hour UTC, as reported on June 10, 2010.
A 75,000 x 75,000 meter grid covering the Gulf of Mexico, created to identify possible areas of landfall of oil from the Deepwater Horizon oil spill. Using oil spill trajectories produced by the Ocean Circulation Group and the Optical Oceanography Laboratory at the College of Marine Science, University of South Florida, and protected areas data catalogued in PAD-US (CBI Edition) , we provide a preliminary attempt to identify ecological resources that may be affected by the spill. By overlaying these projected trajectories on a standardized grid, we can select areas that may contain oil from the spill, or are likely to contain oil in the future. We then identify protected areas that are likely to be most directly...
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 05/20/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents GOMHYCOM model output for particles for May 20, 2010 at 00 hour UTC.
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 05/26/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents SABGOM model output for particles for May 28, 2010 at 00 hour UTC.
Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought;...
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 North Lake Mechant Landbridge Restoration (TE-44) 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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: CWPPRA,
Ecology,
Geography,
Gulf of Mexico,
Land Use Change,
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 Cole's Bayou Marsh Restoration (TV-63) project for 2018. 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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: CWPPRA,
Ecology,
Geography,
Geography,
Gulf of Mexico,
Coastwide vegetation surveys have been conducted multiple times over the past 50 years (e.g., Chabreck and Linscombe 1968, 1978, 1988, 1997, 2001, and 2013) by the Louisiana Department of Wildlife and Fisheries (LDWF) in support of coastal management activities. The last survey was conducted in 2013 and was funded by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the U.S. Geological Survey (USGS) as a part of the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) monitoring program. These surveys provide important data that have been utilized by federal, state, and local resource managers. The surveys provide information on the condition of Louisiana’s coastal marshes by mapping...
This product is a satellite-based habitat map time series from 2012 to 2019 for the Caminada Headland reach of the Louisiana Gulf shoreline to facilitate monitoring of the National Fish and Wildlife Foundation (NFWF) Caminada Headland Beach and Dune Restoration Incr2 project area (BA-0143). The project restored 489 acres of beach and dune habitat along more than seven miles of Caminada Headland in Jefferson and Lafourche Parishes in Louisiana through the direct placement of about 5.4 million cubic yards of sandy substrate from Ship Shoal. For more information on this restoration project, see the project page on Louisiana Coastal Protection and Restoration Authority’s (CPRA) Coastal Information Management System...
This data package includes a high-water shoreline position map and a structures map for each year from 2016–2019 for the National Fish and Wildlife Foundation (NFWF) Caminada Headland Beach and Dune Restoration Incr2 project area (BA-0143). The project restored 489 acres of beach and dune habitat along more than seven miles of Caminada Headland in Jefferson and Lafourche Parishes through the direct placement of about 5.4 million cubic yards of sandy substrate from Ship Shoal. For more information on this restoration project, see the project page on Louisiana Coastal Protection and Restoration Authority’s (CPRA) Coastal Information Management System (http://cims.coastal.la.gov/outreach/projects/ProjectView?projID=BA-0143)....
Climate change is altering the frequency and intensity of extreme weather events. Quantifying ecosystem responses to extreme events at the landscape scale is critical for understanding and responding to climate-driven change but is constrained by limited data availability. Here, we integrated remote sensing with ground-based observations to quantify landscape-scale vegetation damage from an extreme climatic event. We used ground- and satellite-based black mangrove (Avicennia germinans) leaf damage data from the northern Gulf of Mexico (USA and Mexico) to examine the effects of an extreme freeze in a region where black mangroves are expanding their range. The February 2021 event produced coastal temperatures as low...
The depth to top of the Wilcox Group is contoured from location and top information derived from the Petroleum Information (PI) Wells database. The depth to Wilcox map represents the tops found in the database with the addition of surface geology from USGS maps and field data. The veracity of the PI Wells database is being checked by comparison to published cross sections and geologic maps. Interpretation of the depth to Wilcox and apparent thickness maps along with published measured sections and cross sections indicates that portions of Texas, Louisiana, Mississippi and Alabama contain broad areas where a 20 to 40 foot net thickness of lignite and coal occur at shallow depths. The thicker coal zones are attributed...
Categories: Data,
pre-SM502.8;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 47 = Western Gulf,
48 = East Texas Basin,
49 = Louisiana-Mississippi Salt Basins,
50 = Florida Peninsula,
AL,
The dataset entitled “imputedsalt_CalLa” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Calcasieu Lake,
Estuary,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
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