Short Citation:
Office for Coastal Management, 2021: Coastal Bend Texas Benthic Habitat Mapping Patchy Shapefile Map, https://www.fisheries.noaa.gov/inport/item/47960.

Item Identification

Title: Coastal Bend Texas Benthic Habitat Mapping Patchy Shapefile Map
Short Name: tx_coastal_bend_phase1_patchy_srv_p-meta
Status: Completed
Publication Date: 2007-08-23
Abstract:

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 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 Name: Harold Rempel

Contact Org: Fugro EarthData, Inc.

Title: Director of Program Management

Phone: 301-948-8550

Email: hrempel@earthdata.com

Purpose:

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)

Notes:

10116

Supplemental Information:

A patchy shapefile map with percent seagrass coverage was generated over eight Texas Coast study areas to further classify patchy seagrass areas from the habitat map. The geographic extent of this data set includes Corpus Christi Bay - ~356 mi2 , Redfish Bay - ~62 mi2, Aransas Bay - ~285 mi2, and Copano Bay - ~158 mi2, Lower Laguna Madre - ~800 mi2, Upper Laguna Madre -~313 mi2, Baffin Bay - ~232 mi2, San Antonio Bay - ~370mi2.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Benthic
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Coastal
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Estuary
ISO 19115 Topic Category environment
ISO 19115 Topic Category imageryBaseMapsEarthCover
ISO 19115 Topic Category oceans
NOS Data Explorer Topic Category Environmental Monitoring
None Benthic habitat
None Digital map
None Habitat classification
None Seagrass
None Submerged aquatic vegetation
None Texas Seagrass Monitoring Program

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > Texas
None Texas
None TX
None US

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: Map (digital)
Entity Attribute Overview:

ESRI shape file

Entity Attribute Detail Citation:

Not applicable

Distribution Liability:

Users must assume responsibility to determine the usability of these data.

Data Set Credit: NOAA Office for Coastal Management

Support Roles

Data Steward

CC ID: 614473
Date Effective From: 2007-08-23
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 614475
Date Effective From: 2007-08-23
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 614476
Date Effective From: 2007-08-23
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 614474
Date Effective From: 2007-08-23
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Publication Date

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 614479
W° Bound: -97.743558
E° Bound: -96.710731
N° Bound: 28.25679
S° Bound: 26.93903

Extent Group 1 / Time Frame 1

CC ID: 614478
Time Frame Type: Discrete
Start: 2007-08-23

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

None

Distribution Information

Distribution 1

CC ID: 750775
Download URL: ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/TX_CoastalBend_phaseI_patchy_srv_p.zip
Distributor:
File Name: Bulk Download
Description:

FTP download of data files.

URLs

URL 1

CC ID: 750777
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
Description:

Information on the NOAA Office for Coastal Management (OCM)

Activity Log

Activity Log 1

CC ID: 614498
Activity Date/Time: 2017-03-30
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 614497
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 717977
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 750776
Activity Date/Time: 2018-04-11
Description:

Partial upload to move data access FTP links to Distribution Info and remove broken URLs.

Technical Environment

Description:

Windows NT/2000 Systems, Definiens Professional,statistical software for the CART analysis, ArcGIS, Erdas Imagine

Data Quality

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 thematic accuracy of the habitat maps meet or exceed the minimum acceptable field/map accuracy limits which are 80% for each individual habitat type, and 85% overall for baseline benthic habitat at the SCHEME 2-digit subclass level from a "users," as well as a "producers" perspective as defined by Story and Congalton, 1986.

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 fieldchecks and manual editing.

Conceptual Consistency:

For the reprocessed imagery, compliance with the accuracy standard was ensured by the placement of photoidentifiable ground control points. A total of 18 photoidentifiable 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.

Lineage

Sources

2004 ADS40 NAIP Digital Imagery

CC ID: 614466
Contact Name: Northwest Geomatics
Publish Date: 2004-11-07
Extent Type: Range
Extent Start Date/Time: 2004-11-03
Extent End Date/Time: 2004-11-07
Scale Denominator: 900
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

REPORT OF GPS SURVEY TEXAS COASTAL AREA MAPPING

CC ID: 614465
Contact Name: TerraSurv Inc.
Publish Date: 2005-11-09
Extent Type: Range
Extent Start Date/Time: 2005-10-17
Extent End Date/Time: 2005-10-19
Scale Denominator: 1000
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

Process Steps

Process Step 1

CC ID: 614467
Description:

The original 1m DOQQs for the project area were resampled to 2m and mosaicked. For habitat classification, the mosaicked imagery was divided into six processing one set of six mosaics for true color and one set of six 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 six areas was refined with the aid of field data collected during May, June, and July 2006 and January 2007. The six processing area shapefiles were edgematched and combined into a single shapefile which was clipped to the final project area boundary and then clipped into six separate shapefiles representing the six bay systems in the project area. Adjacent bay systems do not overlap, resulting in no overlapping habitat polygons across the entire project area. Each polygon, within and across all six bay systems, 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 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.

Process Date/Time: 2007-08-09 00:00:00
Source: 2004 ADS40 NAIP Digital Imagery

Process Step 2

CC ID: 614468
Description:

The habitat data also went through a NOAA independent validation review. Polygons in the habitat map labeled as Patchy SRV (seagrass) were used to mask the 2m image mosaics for further classification of these areas. Pixels in the imagery falling within the Patchy SRV polygons were classified into a "percent seagrass" cover category. For each Patchy SRV polygon from the habitat map, the average percent seagrass coverage was calculated Based on the coverage values of each pixel within the polygon.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 different 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. After collection, sites were classified as either "sand" or "mud" bottom type using Texas Bureau of Economic Geology sediment maps. More sample polygon sites were collected in-office based on the in-field collected sites in order to meet the 50 sites per class per bottom type accuracy assessment requirement. Once all the sites were chosen, they were again divided into "sand" and "mud" bottom types. For each class, per bottom type,a random selector macro in ArcMap was used to randomly select 50 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 trip 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. Accuracy polygons were transformed into polygon centroid points forced to be located within the polygon. These points were used to select the corresponding polygons in the habitat map. The selected polygons' attributes were joined to the accuracy polygons so that each accuracy polygon had both the accuracy habitat label and its map label. 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 project final report.

Process Date/Time: 2007-08-09 00:00:00
Source: 2004 ADS40 NAIP Digital Imagery

Catalog Details

Catalog Item ID: 47960
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-14 12:57+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2019-07-02 15:17+0000
Metadata Record Published: 2018-04-11
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2019-04-12