gov.noaa.nmfs.inport:47970 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 2025-04-30T22:42:33 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) Coastal Bend Texas Benthic Habitat - Lower Laguna Madre 2004 Substrate tx_llm04-substrate_Metadata 2015 publication NOAA/NMFS/EDM 47970 https://www.fisheries.noaa.gov/inport/item/47970 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 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 the Texas Parks and Wildlife Department (TPWD) and the Texas A&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&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 as a result of the need for having geospatial data immediately available and easily accessible in order to enhance the capability of the NOAA Office for Coastal Management (OCM) 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 Environmental Monitoring Habitat classification Seagrass Submerged aquatic vegetation Texas Seagrass Monitoring Program theme Digital Map Gulf of Mexico TX Texas US place Geographic Names Information System CMECS Coastal and Marine Ecological Classification Standard Substrate Component theme 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 - Lower Laguna Madre 2004 Substrate [Data Date Range], https://www.fisheries.noaa.gov/inport/item/47970. 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 47970 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/47970.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 -97.582899 -97.138791 25.943053 27.016044 | Currentness: Ground Condition 2008-10-01 Benthic habitat vector data for lower laguna madre was divided into three study areas. The geographic extent of these areas is ~800mi2. Benthic habitat data was generated from 2004 NAIP imagery 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 Substrate 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_LowerLagunaMadre.zip WWW:LINK-1.0-http--link Bulk Download FTP download of data files. download dataset Accuracy Horizontal accuracy of the reprocessed source imagery was verified to be better than 5 meters at 90% confidence level in accordance with National Map Accuracy Standards for a 1-meter GSD. The accuracy of the contractor's final map is 89% and the accuracy of the final map is 90%. Overall final map deterministic accuracy is 88% (with fuzzy accuracy at 90%) which exceeds the contract standard of 85%. Additionally, 14 of the 16 final map class producer's and consumer's accuracies are at 85% which exceeds the contract standard of 80%. However, the deterministic producer's accuracy for emergent marsh is 77%, and the user's accuracy for unconsolidated sediments is 72%. Horizontal Positional Accuracy Accuracy assessment determined by evaluating the horizontal accuracy obtained during the aerotriangulation process for each lift for the reprocessed imagery and by field verification for the completed map product. Vertical Positional Accuracy None Completeness Report Compliance with the accuracy standard for the reprocessed imagery was ensured by the placement of photo identifiable ground control points and the collection of airborne GPS data. Compliance with the accuracy standard for the final map product was ensured by field checks and manual editing. Conceptual Consistency For the reprocessed imagery, compliance with the accuracy standard was ensured by the placement of photo identifiable ground control points. A total of 18 photo identifiable ground survey points was used for the calculations. An RMS value was calculated based on the imagery reprocessed for this project by comparing the aerotriangulated X and Y coordinates. This value represents an estimate of the accuracy of the horizontal coordinate measurements in the tile expressed in meters. 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. For habitat classification, the mosaicked imagery was divided into two processing areas; one set of two mosaics for true color and one set of two mosaics for color-IR. Image segmentation was performed using on the blue, green, red, and near-infrared bands for each of the six processing areas. The classification of the habitat segments (as ESRI polygon shapefiles) was performed using CART analysis. The habitat maps for each of the two areas was refined with the aid of field data collected during July, August, and October 2007. The two processing area shapefiles were edgematched and combined into a single shapefile which was clipped to the final project area boundary and then clipped into three separate shapefiles; north, middle, and south regions. Adjacent regions do not overlap. Each polygon, within and across all three delivery regions, has a unique polygon identification number. Each shapefile was checked for proper topology and to insure that each polygon has a correct habitat label, habitat code, modifier label if resent, unique identification number, and an area calculation. Polygons below the 100m2 minimum mapping unit (MMU) were eliminated, though some polygons <100m2 were retained if their area changed to 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 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 76 unit 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 was 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 Lower Laguna Madre Final Accuracy Assessment Report. 2007-08-09T00:00:00 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, substrate, and substrate feature layers from the original input benthic habitat dataset. This substrate feature layer contains CMECS substrate component attributes where an "Equal" or "Nearly Equal" SCHEME value was present in the original data. Polygons for which no 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 Source Contribution: The digital orthophotography was developed from imagery acquired as part of the 2004 overflight of the State of Texas developed for the USDA National Agricultural Imagery Program (NAIP). In order to achieve a horizontal accuracy of 5 meters, CE90 it is necessary to reprocess the imagery incorporating new GPS field control. It should be noted that the imagery was not tide coordinated so tidal variation may exist between sorties. The imagery was acquired between November 3, 2004 and November 7, 2004. | Source Geospatial Form: remote-sensing image | Type of Source Media: digital 900 2004 ADS40 Digital NAIP Imagery 2004-11-11 publication Northwest Geomatics 2004-11-03 2004-11-07 Source Contribution: TerraSurv, Inc. of Pittsburgh, PA was contracted by EarthData International of Frederick, MD to perform a geodetic control survey in support of mapping an area along the southeasterly coast of Texas between Port Lavaca and Brownsville. Thirty-eight photo identifiable locations were surveyed to provide ground control and quality assurance checks for the mapping. Twenty of the stations were used for mapping control and eighteen of the stations were used for quality checks. The horizontal datum was the North American Datum of 1983, CORS adjustment (NAD 1983 CORS). The vertical datum was the North American Vertical Datum of 1988 (NAVD 1988). | Source Geospatial Form: model | Type of Source Media: paper 1000 REPORT OF GPS SURVEY TEXAS COASTAL AREA MAPPING 2005-11-09 publication TerraSurv Inc. 2005-10-17 2005-10-19