47965
Coastal Bend Texas Benthic Habitat - Espiritu Santo Bay 2007 Geoform
tx_esb07-geoform_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 and new digital multi-spectral imagery 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
These data have been created to support change detection, and to inform coastal management research and decision making.
10121
The geographic extent of San Antonio and Espiritu Santo Bays is ~134mi2. 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 produced 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
Benthic habitat
Theme
CMECS
Theme
Coastal and Marine Ecological Classification Standard
Theme
Environmental Monitoring
Theme
Geoform Component
Theme
Habitat classification
Theme
Seagrass
Theme
Submerged aquatic vegetation
Theme
Texas Seagrass Monitoring Program
Spatial
Gulf of Mexico
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.
49368
Geoform
Geoform
Published / External
Completed
Shallow benthic habitats CMECS 2012 geoform 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
TECTPROV
VARCHAR
No
No
Active
Tectonic Setting - Continental scale geomorphological setting of the study area. | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of geoform tectonic province units; CMECS FGDC 2012: See definitions of geoform setting units; CMECS FGDC 2012 |
5
PHYSIOPROV
VARCHAR
No
No
Active
Physiographic Province as per the CMECS Geoform component. | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of geoform class units; CMECS FGDC 2012: See definitions of Geoform class units; CMECS FGDC 2012 |
6
G_ORIGIN
VARCHAR
No
No
Active
Primary process by which the geoform was formed as per the Coastal and Marine Ecological Classification Standard, FGDC 2012 | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of geoform origin units; CMECS FGDC 2012: See definitions of geoform origin units; CMECS FGDC 2012 |
7
GEOFORM
VARCHAR
No
No
Active
Geoform - Individual geomorphological and physical features which provide a context for CMECS biotic an substrate information at a variety of spatial scales. | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of Geoform units; CMECS FGDC 2012: See definitions of Geoform units; CMECS FGDC 2012 |
8
GEOFORM_TYPE
VARCHAR
No
No
Active
More specific variant of geoform. | Description Source: Coastal and Marine Ecological Classification Standard, FGDC 2012
See list of geoform type units; CMECS FGDC 2012: See definitions of geoform type 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
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
-96.683463
-96.32545
28.477098
28.253383
Discrete
2009-02-13
Unclassified
None
None
ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/TX_EspirituSantoBay.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.
2018-04-11
Partial upload to move data access FTP links to Distribution Info and remove broken URLs.
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.
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.
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.
San Antonio Espiritu Santo Bay Digital Orthoimagery
Sanborn Map Company, Inc
2008-03-10
Discrete
2007-07-27
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
1
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.
2009-02-03T00:00:00
San Antonio Espiritu Santo Bay Digital Orthoimagery
2
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.
2015-01-01T00:00:00
49368
Entity
Geoform
gov.noaa.nmfs.inport:47965
Anne Ball
2017-11-14T12:57:55
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