gov.noaa.nmfs.inport:78507 eng UTF8 dataset Office for Coastal Management resourceProvider 2025-12-09T13:52:13 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) geometryOnly curve EPSG::4269 Coastal Bend Benthic Habitat 2007 2026-01-15 publication NOAA/NMFS/EDM 78507 https://www.fisheries.noaa.gov/inport/item/78507 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information mapDigital 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 To support the inventory of benthic habitat classification, extent, and health pursuant to the National Environmental Policy Act, the Rivers and Harbors Act, and the Coastal Zone Management Act. NOAA Office for Coastal Management completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact notPlanned EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > COASTAL theme Global Change Master Directory (GCMD) Science Keywords 17.0 benthic biotic coastal geoform seafloor seagrass substrate theme Texas United States of America place DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian MarineCadastre project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: Coastal Bend Benthic Habitat 2007 [Data Date Range], https://www.fisheries.noaa.gov/inport/item/78507. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Use Constraints: These data were created for planning and management. Users should be aware of temporal changes that may have occurred since the collection of original source data sets. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. All content is licensed under the CC0 1.0 Universal public domain dedication. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 78507 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/78507.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US biota environment -96.683463 -96.32545 28.253383 28.477098 | Currentness: Ground Condition 2007-07-27 Bureau Code: 006:48, Program Code: 006:055 https://benthic-data-noaa.hub.arcgis.com/ WWW:LINK-1.0-http--link https://benthic-data-noaa.hub.arcgis.com/ NOAA Benthic Data Hub Registry download https://marinecadastre.gov/downloads/data/benthic/coastal_bend_2007.zip WWW:LINK-1.0-http--link https://marinecadastre.gov/downloads/data/benthic/coastal_bend_2007.zip download dataset Accuracy Untested Horizontal Positional Accuracy Horizontal accuracy of the source imagery was verified to exceed the project specification of +/- 5 meters (95% confidence). Overall final thematic map deterministic accuracy is 90% and overall fuzzy accuracy is 91%. Additionally, 13 of the 14 final individual class producer's and user's deterministic accuracies exceed 80%. The deterministic user's accuracy for emergent marsh is 76%. All of the individual class producer's and user's fuzzy accuracies exceed 80%. Completeness Report Compliance with the accuracy standard for the imagery was ensured by the placement of photo-identifiable ground control check points. Compliance with the accuracy standard for the final map product was ensured by field checks and manual editing. Eight photo-identified ground control check points were initially established and randomly distributed across the San Antonio Espiritu Santo Bay area to assess the accuracy of the final orthoimagery. However, only five of these points were ultimately used for the accuracy calculation, as two fell outside the project extent and one was discarded due to its association with a poorly defined feature. For the final map product, the initial map accuracy assessment served as a tool to prioritize areas for further field examination. After field investigation, it was then used to prioritize areas requiring additional modeling or interpretation. Error matrices, detailing both deterministic and fuzzy accuracies, were compiled for the initial map. Based on these assessment results, the team re-visited any classes exhibiting inaccuracy and addressed them through modeling, additional analysis, or manual editing. Conceptual Consistency These data are logically consistent The original 1-meter DOQQs for the project area were resampled to 2 meters and mosaicked into a single four-band image. Image segmentation was performed using Definiens Professional. The classification of the habitat segments (as ESRI polygon shapefiles) was performed using CART analysis. The habitat map was refined with the aid of field data collected during May and July of 2008. The final habitat shapefile was clipped to the final project area boundary. Each polygon was assigned a unique polygon identification number in the attribute table. The final shapefile was checked for proper topology and to ensure that each polygon has a correct habitat label, habitat code, modifier label if present, unique identification number, and an area calculation. Polygons below the 100 square meter minimum mapping unit (MMU) were eliminated, though some polygons less than 100 square meters were retained if their area decreased below the MMU due to the polygon boundary smoothing process. The habitat data also went through an independent validation review. Accuracy assessment was performed on seven classes with Patchy SRV and Continuous SRV being combined into a single SRV accuracy class. For field data collection, non-random sites in the form of polygons were chosen by analysts with an attempt to sample all available image signatures. These sites were visited in the field and data on each site was collected directly into digital format using a laptop or onto a paper form that was later entered digitally. Navigation to sites was conducted primarily using a Garmin GPS 76 unit. This unit was either used independently or connected to a Panasonic Toughbook laptop running ArcMap 9.1 to display project imagery and polygons. Habitat classification was estimated as accurately as possible using methods or combinations of methods which included above water observation, snorkeling, wading, and underwater video. These data were entered into a digital field form in ArcMap specifically developed for this type of field data collection. More sample polygon sites were collected in the office based on the field collected sites in order to meet the 30 sites per class accuracy assessment requirement. For each class, a random selector macro in ArcMap was used to randomly select 30 sites for accuracy assessment. The entire pool of accuracy sites was kept separate from the remaining sites and only used for accuracy assessment during the project. Anonymity of the accuracy sites was maintained throughout the project because it was unnecessary to visually review these sites in order to perform the accuracy analysis. More accuracy assessment sites were collected in a later field collection to add to the analysis. These sites were chosen by randomly selecting polygons within specific regions that were pre-determined to be visited. Information for these sites was collected using the same methods for the other sites. The zonal stats tool in ArcMap was used to determine the majority map class that each accuracy polygon intersected. An accuracy assessment error matrix was generated in Microsoft Excel. Both deterministic and fuzzy accuracy assessments were performed. The accuracy analysis and error matrices were presented and discussed in a final accuracy assessment report. 2009-02-03T00:00:00 The data were converted from a single ESRI polygon data set classified according to the System for Classifying Habitats in Estuarine and Marine Environments (SCHEME) to the Coastal and Marine Ecological Classification Standard (CMECS) 2012 format. This produced separate biotic, geoform, and substrate feature layers from the original input benthic habitat dataset. Each of the three feature layers contain respective CMECS biotic, geoform, and substrate component attributes where an "Equal" or "Nearly Equal" SCHEME value was present in the original data. Polygons for which no biotic, geoform, or substrate information was present have been removed. No other changes to the original polygon boundaries or any other alterations of the original SCHEME data were made during this process. 2015-01-01T00:00:00 Standardized common design elements, cleaned up field content, repaired geometry, and projected to NAD83. 2025-08-01T00:00:00 Source Contribution: The imagery for the San Antonio Espiritu Santo Bay project was acquired on December 5, 2007 and the orthoimagery and horizontal analysis was completed on January 28, 2008. San Antonio Espiritu Santo Bay Digital Orthoimagery 2008-03-10 publication Sanborn Map Company, Inc originator 2007-07-27