These data are benthic study GIS shapefiles (.shp, .shx, .prj) with associated .dbf attribute tables and specific Federal Geographic Data Committee metadata. A generalized browse graphic was generated at the NODC and included with these data. In June 1995, the Columbia River Estuary Study Taskforce (CREST) acquired 295 true color aerial photographs (1:12,000) of Willapa Bay, Washington, from the State of Washington Department of Transportation (WDOT), suitable for the interpretation of submerged rooted aquatic vascular plant populations. In August 1995, field surveys were conducted by a team composed of staff from Oregon State University, CREST, and the Washington Department of Natural Resources, for spectral signature development and verification as well as habitat observation. The submerged plant populations were interpreted and mapped from the photographs and transferred onto State of Washington 1:12,000 Orthophoto maps (USGS 7.5 foot quadrangle). The interpretations were digitized into a geographic information system (GIS) for the creation of a habitat polygon map. All interpretation, digitization and photography acquisition were according to stringent parameters detailed in the Coastal Change Analysis Program (C-CAP) Protocol (NMFS Technical Document 123). Two datasets were used as ancillary information to complement the interpreted habitat polygons. In 1996, color aerial videography was obtained from WDOT for post mapping verification and accuracy assessments. Marine Resources Consultants, Inc. and the University of Washington collected videography from 29 underwater transects to verify the deep-water edge of selected seagrass beds in the southern portion of the bay. The date, time, geographic coordinates and depth were updated every 2 to 4 seconds and recorded directly on the videotape images. Latitude and longitude were provided by a differentially corrected global positioning system (GPS). The initial presence/absence map of SAV produced by CREST was later segmented by depth to discriminate between two very different seagrass communities and support field accuracy assessment. Final field verification of the data by personnel from CREST and the NOAA Coastal Services Center (now the NOAA Office for Coastal Management) was conducted in the Summer of 1997. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02.

Maine's eelgrass (SAV) meadows form an important aquatic habitat for the state. These meadows provide shelter for juvenile fish, and invertebrates. In certain locations they also help stabilize unconsolidated sediments and shorelines. Maine's Department of Marine Resources has mapped the SAV habitat for the entire coast using the Coastal Change Analysis Protocol. This mapping was accomplished from aerial photography acquired between 1993 and 1997. The unified coastal SAV data set is a composite of these multiple year data. These data are in GIS shapefile format (.shp, .dbf, .shx, and .prj files) with associated metadata. And additional subdirectory contains data collected from the Wells, Maine region (York and Webhannet rivers in southern Maine) in 2001 and includes benthic data, sediment grab data, and sediment profile image data. Sample browse graphics of select attributes were generated at the NODC and included in this accession. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02.

These data were developed to support ecosystem-based management in the Humboldt Bay region. The focus of the mapping effort was on shallow water benthic habitats with particular concern for eelgrass meadows. The study area covers Arcata (North) Bay, Entrance Bay, South Bay, and the Eel River Delta in Humboldt County, California. Humboldt Bay is the largest estuary north of San Francisco Bay and represents a significant resource for the north coast region. Beginning in 2007, NOAA's Office for Coastal Management, in partnership with the California Sea Grant Program and other local organizations, initiated an ecosystem-based management project for the bay. A key component of this project was the establishment of subtidal habitat goals to guide long-term management and provide a framework for conservation efforts across the land-sea interface. The collection of imagery and subsequent delineation of benthic habitat were essential steps for developing and implementing ecosystem-based management in Humboldt Bay's subtidal zone. Collectively, these efforts establish an important and replicable data and information framework crucial for ecosystem-based coastal and marine conservation planning and implementation. The layers available within the data download include biotic, field_point_sample, geoform, and substrate. Partners: California Sea Grant, Humboldt State University, California State University, California Department of Fish and Game, California Coastal Conservancy, California Sea Grant, The Nature Conservancy, United States Fish and Wildlife Service, and United States Geological Survey

In 2006 and 2007 the NOAA Office for Coastal Management (formerly the Coastal Services Center) purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation (SAV) for several coastal bays. This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment. The Center, Texas A and M, and TPWD have coordinated on the requirements of this project. Benthic habitat vector data was generated over eight Texas Coast study areas. The geographic extent of these regions is Corpus Christi Bay - app. 356 mi2, Redfish Bay - app. 62 mi2, Aransas Bay - app. 285 mi2, Copano Bay - app. 158 mi2, Lower Laguna Madre - app. 800 mi2, Upper Laguna Madre - app. 313 mi2, Baffin Bay - app. 232 mi2, and San Antonio Bay - app. 370 mi2. Benthic habitat data was generated for all estuarine lands below mean high water within the study area. No benthic data was required for the marine side of the barrier beaches. Data are GIS shapefiles with associated .dbf attribute tables and specific Federal Geographic Data Committee metadata for each study region. A generalized browse graphic was generated at the NODC for each region and included with these data.

These data are a collection of regional GIS (Arcview shapefiles and associated Federal Geographic Data Committee (FGDC) metadata) benthic habitat files from studies conducted in specific locations within Florida. Data were collected in partnership with the NOAA Office for Coastal Management (formerly the Coastal Services Center) following the guidelines detailed by the NOAA Coastal Change Analysis Program (C-CAP). Each regions's data is held in a separate subdirectory within this dataset. These GIS benthic data vary in type and attributes depending on the purpose of the study for each region as follows - Apalachicola Bay, sediment profiling data and benthic community information gathered from grab sampling, Dry Tortugas, RoxAnn single-beam acoustic surveys which were part of a larger biogeographic characterization effort intended to characterize benthic habitats and ocean circulation patterns in the newly established Tortugas Ecological Reserve, Florida Bay, habitat polygons developed from National Geodetic Survey aerial photography according to NOAA Coastal Change Analysis Program (C-CAP) protocol, and Indian River Lagoon, mapping SAV beds and benthic habitat according to C-CAP protocol. Each set of benthic data was developed according to protocols described in the associated FGDC metadata for each regional study. A generalized browse graphic was generated at the NODC for each region and included with these data.

From 2006 to 2007, NOAA's Office for Coastal Management led the effort to process existing digital multispectral imagery (ADS-40) and generate digital benthic habitat data, primarily focusing on Submerged Aquatic Vegetation (SAV) for specific bays along the Texas coastal bend. The resulting data were intended to support the state's Seagrass Monitoring Program, which requires regional SAV mapping for status and trends assessment. The geographic extent of these data include Corpus Christi Bay, Redfish Bay, Aransas Bay, Copano Bay, Lower Laguna Madre, Upper Laguna Madre, and Baffin Bay, covering approximately 2,200 square miles. Benthic habitat data were generated for all estuarine lands below mean high water within the study area. No benthic data were produced for the marine side of the barrier island beaches. The layers available within the data download include area, biotic, geoform, and substrate. Partners: Texas Parks and Wildlife Department, Texas A&M University Center for Coastal Studies

From 2006 to 2007, NOAA's Office for Coastal Management led the effort to process existing digital multispectral imagery (ADS-40) and generate digital benthic habitat data, primarily focusing on Submerged Aquatic Vegetation (SAV) for specific bays along the Texas coastal bend. The resulting data were intended to support the state's Seagrass Monitoring Program, which requires regional SAV mapping for status and trends assessment. The geographic extent of these data include San Antonio Bay and Espiritu Santo Bay, covering approximately 134 square miles. Benthic habitat data were generated from 2007 orthoimagery for all estuarine lands below mean high water within the study area. No benthic data were produced for the marine side of the barrier island beaches. The layers available within the data download include area, biotic, geoform, and substrate. Partners: Fugro EarthData, Texas Parks and Wildlife Department, and Texas A&M University Center for Coastal Studies

These data are benthic study GIS shapefiles (.shp, .shx, .prj) with associated .dbf attribute tables and specific Federal Geographic Data Committee metadata. A generalized browse graphic was generated at the NODC and included with these data. The Coastal Change Analysis Program (C-CAP) at the NOAA Office for Coastal Management (formerly the Coastal Services Center) partnered with the Massachusetts Department of Environmental Protection Wetlands Conservancy Program (DEP-WCP) and Office of Coastal Zone Management (CZM) to produce a digital coverage of submerged aquatic vegetation, primarily eelgrass (Zostera marina) along the Atlantic coast of Massachusetts. Conventional color metric aerial photography at a scale of 1:20,000 was acquired from 1994-1996 according to stringent parameters detailed in the C-CAP protocol (www.csc.noaa.gov/ccap). The photography was photointerpreted by DEP-WCP using a biocular stereoscope (Cartographic Engineering Modular Stereoscope Model SB 190). Polygons of eelgrass were delineated onto acetate overlays affixed to each photograph. Extensive fieldwork was conducted to develop signatures and gather surface level data where the presence or extent of habitat was not apparent from the photography. An underwater video camera was utilized in this effort. The aerial photos, with the interpreted acetates attached, were scanned using a photogrammetric quality scanner (AGFA Horizon Plus) at a resolution of 600 dpi resulting in a pixel resolution of .85 meters. The resulting image file was rectified (bilinear 2nd order) by C-CAP to 1 meter black and white and color digital orthophotos supplied by CZM. The polygon delineation from the rectified image was then digitized onscreen. In addition, a point file was generated based on field-verified sites as well as all occurrences of widgeon grass (Ruppia maritima) and algae. The rectification and digitization was completed utilizing the ERDAS Imagine software package. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02. The polygon vector coverage was accuracy assessed by C-CAP and DEP-WCP in July 1997 and September 1998. The assessment was based on random points generated within the polygon boundaries. Navigation to each point in the field was accomplished using real time differential GPS. The underwater video camera was used to verify the presence of the mapped feature at the random point. The accuracy of the mapped grass was 85.4 percent (175 of 205 sites mapped correct).

These data are a collection of benthic habitat data from studies conducted in the Catlett and Goodwin Islands on the York River in Chesapeake Bay, Virginia in GIS shapefile (.shp, .dbf, .shx, and .prj files) with associated Federal Geographic Data Committee (FGDC) metadata. Generalized browse graphics were generated by the NODC and are included with the data. The Virginia Institute of Marine Science (VIMS) and the NOAA Coastal Services Center (now the NOAA Office for Coastal Management) utilized the acoustic, grab, and SPI information (collected in 2002, 2003, and 2004) to characterize benthic habitats by Catlett and Goodwin Islands on the York River, and to examine relationships between animal communities and sediment characteristics.

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), NOAA's Office for Coastal Management, and the Apalachicola National Estuarine Research Reserve. The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps that would better define the extent of oyster habitats and the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public. The study focused on the Apalachicola Bay and western St. George Sound portions of the estuary, mostly in depths greater than 2 meters. High-resolution bathymetry, backscatter intensity, and seismic profile data were collected over 230 square kilometers of the bay. The interpretation of sidescan sonar imagery, bathymetry, available sediment sample information, and seafloor observations provided a detailed interpretation of the surficial geology of Apalachicola Bay and western portions of St. George Sound, Florida. The initial surficial geologic interpretations were translated by the Office for Coastal Management into the Florida System for Classifying Habitats in Estuarine and Marine Environments (SCHEME). No sediment classes were lost during this process. The layers available within the data download include biotic, geoform, and substrate. Partners: United States Geological Survey, Apalachicola National Estuarine Research Reserve