gov.noaa.nmfs.inport:47975 eng UTF8 dataset Office for Coastal Management resourceProvider 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 2025-04-30T22:43:05 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) Coastal Bend Texas Benthic Habitat - San Antonio Bay 2007 Biotic tx_sab07-biotic_Metadata 2015 publication NOAA/NMFS/EDM 47975 https://www.fisheries.noaa.gov/inport/item/47975 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://iocm.noaa.gov/cmecs WWW:LINK-1.0-http--link CMECS Home Page Information and resources on the CMECS standard and how to apply it download https://coast.noaa.gov/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) website Information on the NOAA Office for Coastal Management (OCM) download http://www.cmecscatalog.org/ WWW:LINK-1.0-http--link CMECS Catalog Searchable online catalog of CMECS units, descriptions, and source references download https://coast.noaa.gov/digitalcoast/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Digital Coast Data section The website provides not only coastal data, but also the tools, training, and information needed to make these data truly useful. Content comes from many sources, all of which are vetted by NOAA. download mapDigital In 2006 and 2007 the NOAA Office for Coastal Management 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 Fugro EarthData, 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. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov These data have been created to support change detection, and to inform coastal management research and decision making. 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 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 custodian asNeeded https://coast.noaa.gov/data/Images/Collections/BenthicCover_thumbnail.jpg Sample of benthic cover data JPEG EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > COASTAL EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > ESTUARY theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF AMERICA place Global Change Master Directory (GCMD) Location Keywords 20.8 Benthic habitat Biotic Component CMECS Coastal and Marine Ecological Classification Standard Environmental Monitoring Habitat classification Seagrass Submerged aquatic vegetation Texas Seagrass Monitoring Program theme Gulf of Mexico TX Texas US 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 Benthic project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: Coastal Bend Texas Benthic Habitat - San Antonio Bay 2007 Biotic [Data Date Range], https://www.fisheries.noaa.gov/inport/item/47975. 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 Access Constraints: None otherRestrictions Use Constraints: None otherRestrictions Distribution Liability: 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. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 47975 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/47975.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference eng; US environment -96.878809 -96.576873 28.185683 28.5268 | Currentness: Ground Condition 2009-02-13 The geographic extent of San Antonio and Espiritu Santo Bays is ~370mi2. Benthic habitat data was generated from 2007 orthoimagery collect with an UltraCam digital camera 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. false eng false Biotic 2017-11-16 publication 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 distributor ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/TX_SanAntonioBay.zip WWW:LINK-1.0-http--link Bulk Download FTP download of data files. download dataset Accuracy Horizontal accuracy of the source imagery was verified to exceed the project specification of +/- 5 meters CE95 of position on the ground.Overall final thematic map deterministic accuracy is 90%and overall fuzzy accuracy is 91%, which exceeds the contract standard of 85%. Additionally, 13 of the 14 final individual class producer's and user's deterministic accuracies exceed the contract standard of 80%. The deterministic user's accuracy for emergent marsh is 76%.All of the individual class producer's and user's fuzzy accuracies exceed the contract standard of 80%. Detailed error matrices can be found in the thematic accuracy report. 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. Conceptual Consistency Eight photo-identified ground control check points were established for the purpose of assessing the accuracy of the final orthoimagery. These points were randomly distributed over the San Antonio Espiritu Santo Bay area. Two of the control points fell outside the project extent,and one additional point was discarded, as it was not associated with a well-defined feature. The five remaining points were used to calculate the accuracy of the orthoimagery. For the final map product Initial Map accuracy assessment was used as a tool to prioritize areas for further field examination and after field investigation to prioritize those areas where additional modeling or interpretation was needed. Error matrices showing both deterministic and fuzzy accuracies were compiled for the initial map. Based on the results compiled from the assessment, the team visit any classes exhibiting inaccuracy and addressed the classes through modeling, additional analysis or manual editing. The original 1m DOQQs for the project area were resampled to 2m 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 clipped to the final project area boundary. Each polygon has a unique polygon identification number in the attribute table (field"POLY_ID"). The final shapefile was checked for proper topology and to insure that each polygon has a correct habitat label, habitat code, modifier label if present, unique identification number, and an area calculation. Polygons below the 100m2 minimum mapping unit (MMU) were eliminated, though some polygons less than 100m2 were retained if their area changed to below the MMU due to the polygon boundary smoothing process. The habitat data also went through a 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 (ESRI shapefile) using a laptop or onto a paper form that was later entered into digital format.Sites were navigated to primarily using a Garmin GPS 76unit connected to a Panasonic Toughbook laptop displaying the project imagery and polygons in ArcMap v9.1 or using the GPS unit alone. Habitat classification was estimated as accurately as possible using methods or combination of methods which included above water observation, snorkeling, wading, and underwater video.This data were entered into an ESRI shapefile via a digital field form in ArcMap specifically developed for this type of field data collection. More sample polygon sites were collected in-office based on the in-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 ever 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. Accuracy information was compiled using ArcMap.The zonal stats tool in ArcMap was used to determine the majority map class each accuracy polygon intersected with. An accuracy assessment error matrix was generated using this information by importing it to Microsoft Excel and building the matrix. Both deterministic and fuzzy accuracy assessment were performed. The accuracy analysis and error matrices are presented and discussed in the Final Accuracy Assessment Report. 2009-02-03T00:00:00 The data were converted from a single ESRI polygon shapefile 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 (which can be found at https://coast.noaa.gov/digitalcoast/tools/cmecs-crosswalk) which produces separate geoform, biotic, and biotic feature layers from the original input benthic habitat dataset. This biotic feature layer contains CMECS biotic component attributes where an "Equal" or "Nearly Equal" SCHEME value was present in the original data. Polygons for which no biotic 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 Source Contribution: The orthoimagery was produced by Sanborn Map Company, Inc. for NOAA. 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, 2007. | Source Geospatial Form: map | Type of Source Media: Digital San Antonio Espiritu Santo Bay Digital Orthoimagery 2008-03-10 publication Sanborn Map Company, Inc 2007-07-27