Short Citation:
Office for Coastal Management, 2021: Coastal Bend Texas Benthic Habitat - San Antonio Bay 2007 Geoform, https://www.fisheries.noaa.gov/inport/item/47977.

Item Identification

Title: Coastal Bend Texas Benthic Habitat - San Antonio Bay 2007 Geoform
Short Name: tx_sab07-geoform_Metadata
Status: Completed
Publication Date: 2015
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 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

Purpose:

These data have been created to support change detection, and to inform coastal management research and decision making.

Notes:

10133

Supplemental Information:

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.

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
None Benthic habitat
None CMECS
None Coastal and Marine Ecological Classification Standard
None Environmental Monitoring
None Geoform Component
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 Gulf of Mexico
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)
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.

Support Roles

Data Steward

CC ID: 615099
Date Effective From: 2015
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: 615101
Date Effective From: 2015
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: 615102
Date Effective From: 2015
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: 615100
Date Effective From: 2015
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: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 615105
W° Bound: -96.878809
E° Bound: -96.576873
N° Bound: 28.5268
S° Bound: 28.185683

Extent Group 1 / Time Frame 1

CC ID: 615104
Time Frame Type: Discrete
Start: 2009-02-13

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

None

Distribution Information

Distribution 1

CC ID: 750876
Download URL: ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/TX_SanAntonioBay.zip
Distributor:
File Name: Bulk Download
Description:

FTP download of data files.

URLs

URL 1

CC ID: 750878
URL: https://iocm.noaa.gov/cmecs
Name: CMECS Home Page
URL Type:
Online Resource
Description:

Information and resources on the CMECS standard and how to apply it

URL 2

CC ID: 750879
URL: http://www.cmecscatalog.org/
Name: CMECS Catalog
URL Type:
Online Resource
Description:

Searchable online catalog of CMECS units, descriptions, and source references

URL 3

CC ID: 750880
URL: https://coast.noaa.gov/digitalcoast/
Name: NOAA's Office for Coastal Management (OCM) Digital Coast Data section
URL Type:
Online Resource
Description:

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.

URL 4

CC ID: 750881
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)

URL 5

CC ID: 750882
URL: https://coast.noaa.gov/data/Images/Collections/BenthicCover_thumbnail.jpg
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: JPEG
Description:

Sample of benthic cover data

Activity Log

Activity Log 1

CC ID: 615125
Activity Date/Time: 2017-03-30
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 615124
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: 750877
Activity Date/Time: 2018-04-11
Description:

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

Data Quality

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.

Lineage

Sources

San Antonio Espiritu Santo Bay Digital Orthoimagery

CC ID: 615089
Contact Name: Sanborn Map Company, Inc
Publish Date: 2008-03-10
Extent Type: Discrete
Extent Start Date/Time: 2007-07-27
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

Process Steps

Process Step 1

CC ID: 615090
Description:

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.

Process Date/Time: 2009-02-03 00:00:00
Source: San Antonio Espiritu Santo Bay Digital Orthoimagery

Process Step 2

CC ID: 615091
Description:

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, geoform, and geoform feature layers from the original input benthic habitat dataset. This geoform feature layer contains CMECS geoform component attributes where an "Equal" or "Nearly Equal" SCHEME value was present in the original data. Polygons for which no geoform 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.

Process Date/Time: 2015-01-01 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity (ENT) Geoform

Catalog Details

Catalog Item ID: 47977
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