tx_llm04_meta_0070784 eng; USA utf8 dataset Metadata Specialist NOAA Coastal Services Center Metadata Specialist 843-740-1210 843-740-1224 2234 S Hobson Ave. Charleston SC 29405 USA csc@csc.noaa.gov 8:00 am to 5:00 pm EST pointOfContact 2025-03-16 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) North American Datum 1983 NAD83 2007-01-19 revision https://epsg.org/crs_4269/NAD83.html NAD83 Link to Geographic Markup Language (GML) description of reference system. information resourceProvider European Petroleum Survey Group https://epsg.org/home.html European Petroleum Survey Group Geodetic Parameter Registry Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations. search publisher urn:ogc:def:crs:EPSG::4269 Coastal Bend Texas Benthic Habitat - Lower Laguna Madre (NODC Accession 0070784) 2008-10-01 publication Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) originator NOAA’s Ocean Service, Coastal Services Center (CSC) Charleston SC publisher mapDigital In 2006 and 2007 the NOAA 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&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. 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 Coastal Services Center (CSC) NOAA Coastal Services Center completed Becky Jordan Fugro EarthData, Inc. Project Manager 301-948-8550 301-963-2064 7320 Executive Way Frederick MD 21704 USA bjordan@earthdata.com 9:00am - 5:00pm pointOfContact asNeeded CoRIS_Metadata theme NCEI Geoportal Filter EARTH SCIENCE > Biosphere > Aquatic Habitat > Coastal Habitat theme CoRIS Theme Thesaurus Geographic Information > Habitats theme CoRIS Discovery Thesaurus Benthic habitat Submerged aquatic vegetation Seagrass Texas Seagrass Monitoring Program Habitat classification ImageryBaseMapsEarthCover Environmental Monitoring theme Digital Map Texas TX US Gulf of Mexico place Geographic Names Information System OCEAN BASIN > Atlantic Ocean > Gulf of America > Texas COUNTRY/TERRITORY > United States of America > Texas OCEAN BASIN > Atlantic Ocean > Gulf of Mexico place CoRIS Place Thesaurus Gulf of Mexico Gulf of America place CoRIS Region Users must assume responsibility to determine the usability of these data. otherRestrictions Use Constraints: None otherRestrictions Access Constraints: None eng; USA imageryBaseMapsEarthCover Native Dataset Environment: Windows NT/2000 Systems, Definiens Professional, See5, ArcGIS, Erdas Imagine -097.582899 -097.138791 25.943053 27.016044 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. Entity and Attribute Overview: None Entity and Attribute Detail Citation: Not applicable Clearinghouse Manager NOAA Coastal Services Center Clearinghouse Manager 843-740-1210 843-740-1224 2234 South Hobson Avenue Charleston SC 29405-2413 USA clearinghouse@csc.noaa.gov Monday-Friday, 8-5 EST distributor dataset Horizontal Positional Accuracy Report 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 Report None 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. 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 Becky Jordan Fugro EarthData, Inc. Project Manager 301-948-8550 301-963-2064 7320 Executive Way Frederick MD 21704 USA bjordan@earthdata.com 9:00am - 5:00pm processor 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 Type: paper 1000 REPORT OF GPS SURVEY TEXAS COASTAL AREA MAPPING 2005-11-09 publication Terrasurv Inc. originator modelDigital 2005-10-17 2005-10-19 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 Type: digital 900 2004 ADS40 Digital NAIP Imagery 2004-11-11 publication Northwest Geomatics originator imageDigital 2004-11-03 2004-11-07 annually This metadata was automatically generated from the FGDC Content Standards for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2016-01-11 version of the FGDC RSE to ISO 19115-2 transform. Translated from FGDC 2025-03-24T19:23:17.878Z Metadata Specialist NOAA Coastal Services Center Metadata Specialist 843-740-1210 843-740-1224 2234 S Hobson Ave. Charleston SC 29405 USA csc@csc.noaa.gov 8:00 am to 5:00 pm EST pointOfContact