47944
Coastal Bend Texas Benthic Habitat Mapping Aransas Bay 2004 Biotic
tx_ab04-biotic_Metadata
Data Set
Published / External
37225
Benthic
Project
Completed
2015
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 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)
10100
Benthic habitat vector data was generated over eight Texas Coast study areas. The geographic extent of these 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. Benthic habitat data was generated 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.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > COASTAL
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > ESTUARY
Theme
ISO 19115 Topic Category
environment
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS
Theme
NOS Data Explorer Topic Category
Environmental Monitoring
Theme
Benthic habitat
Theme
Biotic Component
Theme
CMECS
Theme
Coastal and Marine Ecological Classification Standard
Theme
Digital map
Theme
Habitat classification
Theme
Seagrass
Theme
Submerged aquatic vegetation
Theme
Texas Seagrass Monitoring Program
Spatial
TX
Spatial
Texas
Spatial
US
Office for Coastal Management
Charleston
SC
Data Set
As Needed
Map (digital)
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.
49355
Biotic
Biotic
Published / External
Completed
Shallow benthic habitats CMECS 2012 biotic component polygons | Description Source: NOAA Office for Coastal Management
Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script.
1
OBJECTID
Unknown
No
No
Active
Internal feature number. | Description Source: Esri
Sequential unique whole numbers that are automatically generated.
2
SHAPE
Unknown
No
No
Active
Feature geometry. | Description Source: Esri
Coordinates defining the features.
3
CMECS_CODE
Unknown
No
No
Active
CMECS biotic unit code. | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
Alphanumeric code for CMECS units
4
B_SETTING
VARCHAR
No
No
Active
Biotic Setting - Indication of whether the biota are attached or closely associated with the benthos or are suspended or floating in the water column. | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of biotic setting units; CMECS FGDC 2012: See definitions of biotic setting units; CMECS FGDC 2012 |
5
B_CLASS
VARCHAR
No
No
Active
Biotic Class - Dominant (percent cover) taxonomy and life forms of the living components of the sampled area at a fairly coarse level. | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of biotic class units; CMECS FGDC 2012: See definitions of biotic class units; CMECS FGDC 2012 |
6
B_SUBCLASS
VARCHAR
No
No
Active
Biotic Subclass - Dominant (percent cover) taxonomy and life forms of the living components of the sampled area at a fairly coarse level | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of biotic subclass units; CMECS FGDC 2012: See definitions of biotic subclass units; CMECS FGDC 2012 |
7
B_GROUP
VARCHAR
No
No
Active
Biotic Group - Functional groupings of characteristic biological types based on finer distinctions of taxonomy, structure, position, environment, and salinity levels | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of biotic group units; CMECS FGDC 2012: See definitions of biotic group units; CMECS FGDC 2012 |
8
B_COMMUNITY
VARCHAR
No
No
Active
Biotic Community - repeatable, characteristic assemblages of organisms that are relatively uniform in structure, species composition, and habitat conditions | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of biotic community units; CMECS FGDC 2012: See definitions of biotic community units; CMECS FGDC 2012 |
9
Shape_Length
Unknown
No
No
Active
Length of line features in meters | Description Source: Esri
Distance
10
Shape_Area
Unknown
No
No
Active
Polygon area in square meters | Description Source: Esri
Area
11
Description
Unknown
No
No
Active
Descriptive information on biotic units | Description Source: Fugro EarthData/NOAA Office for Coastal Management
Free text further describing biotic units
12
Percent_Cover
VARCHAR
No
No
Active
Percent cover values from CMECS modifier | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of modifier units; CMECS FGDC 2012: See definitions of modifier units; CMECS FGDC 2012 |
Data Steward
2015
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2015
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2015
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2015
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-97.074216
-96.709414
28.295159
27.827573
Discrete
2007-08-23
Unclassified
None
None
ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/TX_AransasBay.zip
Bulk Download
FTP download of data files.
https://coast.noaa.gov/data/Images/Collections/BenthicCover_thumbnail.jpg
Browse Graphic
Browse Graphic
JPEG
Sample of benthic cover data
http://www.cmecscatalog.org/
CMECS Catalog
Online Resource
Searchable online catalog of CMECS units, descriptions, and source references
https://coast.noaa.gov/
NOAA's Office for Coastal Management (OCM) website
Online Resource
Information on the NOAA Office for Coastal Management (OCM)
https://coast.noaa.gov/digitalcoast/
NOAA's Office for Coastal Management (OCM) Digital Coast Data section
Online Resource
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.
https://iocm.noaa.gov/cmecs
CMECS Home Page
Online Resource
Information and resources on the CMECS standard and how to apply it
2017-03-30
Date that the source FGDC record was last modified.
2017-11-14
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.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-04-11
Partial upload to move data access FTP links to Distribution Info and remove broken URLs.
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.
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.
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 fieldchecks and manual editing.
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.
2004 ADS40 Digital NAIP Imagery
Northwest Geomatics
2004-11-11
Range
2004-11-03
2004-11-07
900
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
TerraSurv Inc.
2005-11-09
Range
2005-10-17
2005-10-19
1000
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
1
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 Ethe 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.
2007-08-09T00:00:00
2004 ADS40 Digital NAIP Imagery
2
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 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 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 entitled Coastal Bend of Texas Benthic Habitat Mapping Phase 1 Final Report.
2007-08-09T00:00:00
3
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, biotic, and biotic feature layers from the original input benthic habitat dataset. This biotic feature layer contains CMECS biotic component attributes where an "Equal" or "Nearly Equal" SCHEME value was present in the original data. Polygons for which no biotic 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
49355
Entity
Biotic
gov.noaa.nmfs.inport:47944
Anne Ball
2017-11-14T12:57:47
SysAdmin InPortAdmin
2023-05-30T18:09:29
2018-04-11
Office for Coastal Management
OCM
1002
Public
No
2018-04-11
1 Year
2019-04-11