Short Citation:
Office for Coastal Management, 2021: Coastal Bend Texas Benthic Habitat - Lower Laguna Madre 2004 Substrate, https://www.fisheries.noaa.gov/inport/item/47970.

Item Identification

Title: Coastal Bend Texas Benthic Habitat - Lower Laguna Madre 2004 Substrate
Short Name: tx_llm04-substrate_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 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

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:

10126

Supplemental Information:

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.

Keywords

Theme Keywords

Thesaurus Keyword
Digital Map Benthic habitat
Digital Map Environmental Monitoring
Digital Map Habitat classification
Digital Map Seagrass
Digital Map Submerged aquatic vegetation
Digital Map Texas Seagrass Monitoring Program
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 CMECS
None Coastal and Marine Ecological Classification Standard
None Substrate Component

Spatial Keywords

Thesaurus Keyword
Geographic Names Information System Gulf of Mexico
Geographic Names Information System Texas
Geographic Names Information System TX
Geographic Names Information System US
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > Texas

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: 614835
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: 614837
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: 614838
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: 614836
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: 614841
W° Bound: -97.582899
E° Bound: -97.138791
N° Bound: 27.016044
S° Bound: 25.943053

Extent Group 1 / Time Frame 1

CC ID: 614840
Time Frame Type: Discrete
Start: 2008-10-01

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

None

Distribution Information

Distribution 1

CC ID: 750828
Download URL: ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/TX_LowerLagunaMadre.zip
Distributor:
File Name: Bulk Download
Description:

FTP download of data files.

URLs

URL 1

CC ID: 750830
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: 750831
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: 750832
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: 750833
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: 614861
Activity Date/Time: 2017-03-30
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 614860
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standards 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: 717981
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 750829
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 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.

Lineage

Sources

2004 ADS40 Digital NAIP Imagery

CC ID: 614826
Contact Name: Northwest Geomatics
Publish Date: 2004-11-11
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: 614825
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: 614827
Description:

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.

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

Process Step 2

CC ID: 614828
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, 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.

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

Child Items

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Catalog Details

Catalog Item ID: 47970
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