The sub-aquatic vegitation map for was produced for the SAV Technical Working Group under a cooperative workplan with BP. The SAV map was derived from 0.3 meter resolution visible and near-infrared imagery collected by Aerometric. The imagery was segmented into homogeneous image objects following an object-based image analysis (OBIA) approach. The image objects were subsequently classified using Classification and Regression Tree (CART) statistical analysis. Manual edits based on air photo interpretation were performed to correct obvious errors and refine the map. A draft map was reviewed by USGS personnel and final edits made based on their comments. The polygons were dissolved based on the class assignments and a minimum mapping unit of 4 square meters was enforced.

These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has experienced an ongoing chronic oil discharge since 2004. Data shown here in NOAA’s Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

This data set contains vector polygons depicting anchorages; vector points depicting access, boat ramp, lock and dam, marine, port, and river mile locations; and vector lines depicting locations of shipping lanes in South Carolina. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the South Carolina ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

This data set contains human-use resource data for anchorages, beach access points, boat ramps, diving locations, ferries, locks and dams, and marinas in Southwest Florida. Location specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set comprises a portion of the ESI data for Southwest Peninsular Florida. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons; NAVIGATION-MARINE Points; POLITICAL-JURISDICTIONAL Polygons, Lines, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Lines, Points; and NATURAL HAZARD Polygons.

This data set contains vector lines representing the ESI classified shoreline of South Carolina classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI data for South Carolina. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the ESIP data layer, part of the larger South Carolina ESI database, for additional ESI information.

These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using RS Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has an ongoing chronic oil discharge. Data shown here in NOAA’s Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in South Carolina. Vector polygons in this data set represent fish distribution, spawning and nursery areas, concentration areas, and anadromous fish runs. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for South Carolina. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

This feature class resides within the SOCECON Feature Data Set of the Southwest Florida 2016 ESI geodatabase. It contains vector polygons representing Natural Hazard human-use resource data for marine and estuarine waters of Southwest Florida and adjacent lands and waters. The vector polygons represent predicted flood inundation in the event of a Category 1, 2, 3, 4, or 5 storm. For each storm category, the level of flooding is binned into anticipated depth of flood waters: <= 3 feet, > 3 feet, > 6, and > 9 feet. These are modeled data, based on the National Hurricane Center’s Sea, Lake and Overland Surges from Hurricanes (SLOSH) model (https://www.nhc.noaa.gov/surge/slosh.php). Raster model data, prepared in 2015, was converted to vector polygons for the purpose of the ESI. These data should be used for planning purposes only. The ArcGIS feature class (NATURAL HAZARD POLYS) has 2 associated attribute tables, considered as Entities or "Child Items" in this metadata record. Location-specific Type and Source information are stored in these related data tables, SOC_DAT and SOURCES (described below), which are stand-alone tables within the Geodatabase. This data set is a portion of the ESI data for Southwest Florida - 2016. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. Additional human-use information is provided in other feature class themes within the SOCECON Feature Data Set, including NAVIGATION/MARINE (POINTS, LINES, and POLYGONS), PARKS/MANAGED AREA (POINTS and POLYGONS), POLITICAL/JURISDICTIONAL (POINTS and POLYGONS), RESOURCE MANAGEMENT (POINTS and POLYGONS), and SOCECON (POINTS AND POLYGONS).

These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has experienced an ongoing chronic oil discharge since 2004. Data shown here in NOAA’s Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

This data set contains sensitive biological resource data for marine, estuarine, and select freshwater species Southwest Florida. Vector polygons in this data set represent distribution, concentration areas, spawning areas, and nursery areas for species of economic and ecological importance. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Southwest Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.