gov.noaa.nmfs.inport:47967
eng
UTF8
dataset
Office for Coastal Management
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
Coastal Bend Texas Benthic Habitat - Lower Laguna Madre 2004 Biotic
tx_llm04-biotic_Metadata
2015
publication
NOAA/NMFS/EDM
47967
https://www.fisheries.noaa.gov/inport/item/47967
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://iocm.noaa.gov/cmecs
WWW:LINK-1.0-http--link
CMECS Home Page
Information and resources on the CMECS standard and how to apply it
download
http://www.cmecscatalog.org/
WWW:LINK-1.0-http--link
CMECS Catalog
Searchable online catalog of CMECS units, descriptions, and source references
download
https://coast.noaa.gov/digitalcoast/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) Digital Coast Data section
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.
download
mapDigital
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
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)
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
asNeeded
https://coast.noaa.gov/data/Images/Collections/BenthicCover_thumbnail.jpg
Sample of benthic cover data
JPEG
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > COASTAL
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > ESTUARY
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS
place
Global Change Master Directory (GCMD) Location Keywords
17.0
Benthic habitat
Environmental Monitoring
Habitat classification
Seagrass
Submerged aquatic vegetation
Texas Seagrass Monitoring Program
theme
Digital Map
Gulf of Mexico
TX
Texas
US
place
Geographic Names Information System
Biotic Component
CMECS
Coastal and Marine Ecological Classification Standard
theme
DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2017-04-24
publication
8.5
Benthic
project
InPort
otherRestrictions
Cite As: Office for Coastal Management, [Date of Access]: Coastal Bend Texas Benthic Habitat - Lower Laguna Madre 2004 Biotic [Data Date Range], https://www.fisheries.noaa.gov/inport/item/47967.
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.
otherRestrictions
Access Constraints: None
otherRestrictions
Use Constraints: None
otherRestrictions
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.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
47967
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/47967.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
eng; US
environment
-97.582899
-97.138791
25.943053
27.016044
| Currentness: Ground Condition
2008-10-01
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.
false
eng
false
Biotic
2017-11-16
publication
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/TX_LowerLagunaMadre.zip
WWW:LINK-1.0-http--link
Bulk Download
FTP download of data files.
download
dataset
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.
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.
2007-08-09T00:00:00
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
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
900
2004 ADS40 Digital NAIP Imagery
2004-11-11
publication
Northwest Geomatics
2004-11-03
2004-11-07
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
1000
REPORT OF GPS SURVEY TEXAS COASTAL AREA MAPPING
2005-11-09
publication
TerraSurv Inc.
2005-10-17
2005-10-19