Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC)
20081001
Unknown
Coastal Bend Texas Benthic Habitat - Lower Laguna Madre (NODC Accession 0070784)
map
Charleston, SC
NOAA’s Ocean Service, Coastal Services Center (CSC)
https://accession.nodc.noaa.gov/0070784
https://coast.noaa.gov/digitalcoast/data/benthiccover
In 2006 and 2007 the NOAA Coastal Services Center
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.
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
Coastal Services Center (CSC)
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.
20081001
Publication Date
As needed
-097.582899
-097.138791
27.016044
25.943053
NCEI Geoportal FilterCoRIS_Metadata
ISO 19115 Topic Category
imageryBaseMapsEarthCover
010
CoRIS Theme Thesaurus
EARTH SCIENCE > Biosphere > Aquatic Habitat > Coastal Habitat
CoRIS Discovery Thesaurus
Geographic Information > Habitats
Digital Map
Benthic habitat
Submerged aquatic vegetation
Seagrass
Texas Seagrass Monitoring Program
Habitat classification
ImageryBaseMapsEarthCover
Environmental Monitoring
Geographic Names Information System
Texas
TX
US
Gulf of Mexico
CoRIS Place Thesaurus
OCEAN BASIN > Atlantic Ocean > Gulf of Mexico > Texas
COUNTRY/TERRITORY > United States of America > Texas
OCEAN BASIN > Atlantic Ocean > Gulf of Mexico
None
None
Fugro EarthData, Inc.
Becky Jordan
Project Manager
mailing and physical address
7320 Executive Way
Frederick
MD
21704
USA
301-948-8550
301-963-2064
bjordan@earthdata.com
9:00am - 5:00pm
NOAA Coastal Services Center
Windows NT/2000 Systems, Definiens Professional,
See5, ArcGIS, Erdas Imagine
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%.
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.
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.
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
Terrasurv Inc.
20051109
REPORT OF GPS SURVEY TEXAS COASTAL AREA MAPPING
model
1000
paper
20051017
20051019
Ground Condition
GPS Ground Control
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).
Northwest Geomatics
20041111
2004 ADS40 Digital NAIP Imagery
remote-sensing image
900
digital
20041103
20041107
Ground Condition
Imagery
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.
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.
Imagery
GPS Ground Control
20070809
Fugro EarthData, Inc.
Becky Jordan
Project Manager
mailing and physical address
7320 Executive Way
Frederick
MD
21704
USA
301-948-8550
301-963-2064
bjordan@earthdata.com
9:00am - 5:00pm
Universal Transverse Mercator
14
0.999600
-099.000000
+00.000000
500000.000000
0.000000
coordinate pair
0.000128
0.000128
Meters
North American Datum of 1983
Geodetic Reference System 80
6378137.000000000000000000
298.257222096042310000
None
Not applicable
NOAA Coastal Services Center
Clearinghouse Manager
Clearinghouse Manager
mailing and physical address
2234 South Hobson Avenue
Charleston
SC
29405-2413
USA
843-740-1210
843-740-1224
clearinghouse@csc.noaa.gov
Monday-Friday, 8-5 EST
Downloadable Data
Users must assume responsibility to determine the usability
of these data.
20200329
NOAA Coastal Services Center
Metadata Specialist
Metadata Specialist
mailing and physical address
2234 S Hobson Ave.
Charleston
SC
29405
USA
843-740-1210
843-740-1224
csc@csc.noaa.gov
8:00 am to 5:00 pm EST
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
https://www.coris.noaa.gov/metadata/records/html/tx_llm04_meta_0070784.html
6802