gov.noaa.nmfs.inport:47889
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)
complex
3309
Benthic Habitats of Estero Bay Area, Florida 1999 Substrate
fl_eb99-substrate_Metadata
2015
publication
NOAA/NMFS/EDM
47889
https://www.fisheries.noaa.gov/inport/item/47889
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
https://coast.noaa.gov/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) website
Information on the NOAA Office for Coastal Management (OCM)
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
Data produced for the Florida Fish and Wildlife Conservation Commission's Florida Marine Research Institute (FMRI) in partnership with the South Florida Water Management District (SFWMD). This data set consists of digital data describing the seagrass, unvegetated bottom, open water, algal beds, oysters, and apparent shoreline for the Southwest Florida Seagrass project area,which consists of Pine Island Sound, Matlacha Pass, San Carlos Bay, the lower Caloosahatchee River, and Estero Bay, in 1999. The data set includes an ArcInfo coverage that was digitized from 1:24000 scale natural color aerial photographs that were photogrammetrically georeferenced utilizing GPS ground control points. Data was stereoscopically photointerpreted and digitized using a Zeiss P3 analytical stereoplotter. The seagrass beds and additional categories were classified according to the FDOT Florida Land Use, Cover and Forms Classification System (FLUCCS). Minimum mapping unit (mmu) for all classes was 0.25 acres. A Photointerpretation Key was developed to aid in the classification of collected data. Ground truthing was performed during the photointerpretation phase to ensure classification accuracy and consistency of PI. Digital files were created in Microstation design file format (.dgn). 1999 SWIM Seagrass data was translated from ARC/Info to .dgn format and was referenced as collateral tie information during the compilation process. These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Office for Coastal Management (NOAA\OCM), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.
Original contact information:
Contact Org: NOAA Office for Coastal Management
Phone: 843-740-1202
Email: coastal.info@noaa.gov
The intended use of this data set is to provide documentation of the extent and distribution of seagrass communities within the Southwest Florida Seagrass project area in 1999.
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 > FLORIDA
place
Global Change Master Directory (GCMD) Location Keywords
17.0
2005
2006
Seafloor
temporal
General
Benthic Habitats
CMECS
Coastal and Marine Ecological Classification Standard
Oyster Reef
Photointerpretation
Seagrass
Submerged Aquatic Vegetation
Substrate Component
theme
Caloosahatchee River
Estero Bay
Florida
Matlacha Pass
Pine Island Sound
San Carlos Bay
USA
place
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]: Benthic Habitats of Estero Bay Area, Florida 1999 Substrate [Data Date Range], https://www.fisheries.noaa.gov/inport/item/47889.
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
47889
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/47889.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
environment
-82.37394
-81.794711
26.247008
26.705917
| Currentness: Ground Condition
1999-12-09
1999-12-26
false
eng
false
Substrate
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/FL_EsteroBay.zip
WWW:LINK-1.0-http--link
Bulk Download
FTP download of data files.
download
dataset
Accuracy
Experienced quality control photointerpreters performed a 100% quality control check, in stereo, of all delineations
produced during the photointerpretation process to check for accuracy of delineations and classifications. The first
photointerpretation quality control review was an in-process review performed on the analytical stereoplotter. A quality control
photointerpreter reviewed the seagrass delineations interpreted on the aerial photographs (these data existed as a .dgn file at that
stage of production). Baymont possesses a Zeiss analytical stereoplotter with dual optics, which allowed two photointerpreters to
view the images simultaneously. This equipment is typically used for quality assurance reviews. Suggested corrections were pointed
out to the original photointerpreter during the in-process quality control review. Some suggested corrections warranted further
investigation in the field so that selected classification problems (particularly algae vs. seagrass) could be positively resolved.
Baymont also performed fieldwork in order to assess and maintain the quality of all photointerpretation. The trips accomplished
several photointerpretation tasks in unison including 1) signature identification in advance of photointerpretation; 2) resolution of
problems encountered during photointerpretation and 3) groundtruthing of existing delineations by comparing those delineations to the
conditions in the field. In addition, hard copy photo scale plots of all QC'd delineations were sent to FMRI for further review
comments by their staff. These review comments were inspected and responded to by the Baymont QC team. Accuracy of valid attributes was also verified using QC steps in ARC/INFO.
Horizontal Positional Accuracy
Horizontal_Positional_Accuracy_Value +/- 5m
Horizontal_Positional_Accuracy_Explanation
Completeness Report
Visual quality control check of the draft linework and labels superimposed on the aerial photography using the superimposition capability (VIDEOMAP) of the analytical stereoplotter ensured that 100% of all linework was captured.
Conceptual Consistency
Microstation .dgn files were imported to ARC/Info to perform automated validation routines. Quality control checks for digital data consisted of unlabeled, multi-labeled and contiguous polygon errors as well as dangles and sliver polygons. Polygon topology was created and label errors and node errors were run in ARC/Info. Coverage characteristics were adhered to, as specified by the contract (tolerances, projection definition, PAT items etc.).
Aerial photography data collection. Conventional color film was flown under conditions conducive to mapping submerged habitats. This includes consideration of tidal stage, sun glint, cloud cover, water clarity, and phenology of submersed vegetation. The photography was reviewed for suitability and accepted as the primary data source for the benthic mapping.
1999-12-01T00:00:00
Photointerpretation: From 20000201 to 20000501 data was stereoscopically photointerpreted and digitized from 1:24000 scale natural color aerial photography using a Zeiss P3 analytical stereoplotter. The seagrass beds and additional categories were classified according to the FDOT Florida Land Use, Cover and Forms Classification System (FLUCCS). Minimum mapping unit (mmu) for all classes was 0.25 acres. Ground truthing was performed during the photointerpretation phase to ensure classification accuracy and consistency of PI. Digital files were created in Microstation design file format (.dgn).
2000-05-01T00:00:00
ARC/INFO validation: Microstation .dgn files were imported to ARC/Info to perform automated validation routines. Quality control checks for digital data consisted of unlabeled, multi-labeled and contiguous polygon errors as well as dangles and sliver polygons. Polygon topology was created and label errors and node errors were run in ARC/Info. Coverage characteristics were adhered to, as specified by the contract (tolerances, projection definition, PAT items etc.).
2000-05-01T00:00:00
Field validation from 20011031-20011105 of final products. Following completion of the final benthic habitat map, staff from the NOAA Office for Coastal Management, FMRI, and the Southwest Florida Water Management District conducted a field thematic validation trip to the area to test the accuracy of the map product. A set of random points were generated for field evaluation in ERDAS Imagine. The vector coverage was converted into a classified raster based on thematic polygon values. Fifty stratified random points were generated from each class (continuous SAV, patchy SAV, Oyster, and bare bottom). These points were used to guide the field team. However conditions in the field including 20+ mph winds and extremely shallow water depths prevented the team from visiting the majority of the randomly selected points. Only ten percent of the field points (15 of 166) were from the random point set. Field methods used to validate the 1999 benthic coverage consisted of navigating to the random points using a live GPS link through a field PC. The field party segmented the study area into three zones based on water bodies and access. The zones were: Matlacha Sound, Pine Island Sound, and Estero Bay. The team navigated into these sounds, observing sites along one side and then left the area observing sites on the opposite side. Wind direction and exposure also influenced this process. In addition to navigating to pre-selected points whenever possible, the team would add points. An effort was made to add these points in areas where many polygons were located together. This was done to maximize the number of polygons that could be visited and also address the most complex areas. Upon arriving at a point, or polygon in the case of an added point, the team would deploy the Towed Underwater Video camera and cross into the polygon in a transect fashion. This transect was started such that some video observation of the area outside the polygon boundary could be made. As the transect was traveled, several observations were made along track to confirm the presence or absence of a given habitat. Once a determination could be made about the accuracy of the polygon in that area, the transect was stopped. Agreement between map observations and field observations exceeded 70%. Part of the difference between the two observations was the time elapsed between the time of the aerial photography and the seasonality differences between the two dates.
2001-11-05T00:00:00
Original AGRA Baymont FLUCCS classes were cross-walked into the Florida System for Classifying Habitats in Estuarine and Marine Environments (SCHEME). All surficial geology classes translated smoothly into SCHEME. No information or data records were lost during this process. Geoform attributes not captured in the SCHEME hierarchy have been added as modifiers (ex. tidal inlet).
2012-03-28T00:00:00
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, 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.
2015-01-01T00:00:00
Source Contribution: Primary data for photointerpretation | Type of Source Media: Digital Natural color aerial photography
24000
1999 Benthic Habitat Aerial Photography
1999-01-01
publication
U.S. Imaging
1999-12-09