gov.noaa.nmfs.inport:78509 eng UTF8 dataset Office for Coastal Management resourceProvider 2025-12-09T13:56:12 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) geometryOnly curve EPSG::4269 Long Island South Shore Benthic Habitat 2002 2026-01-15 publication NOAA/NMFS/EDM 78509 https://www.fisheries.noaa.gov/inport/item/78509 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information mapDigital These data provide a baseline inventory of submerged aquatic vegetation within Long Island's South Shore bays. The data were derived from conventional-color metric film diapositives obtained in June 2002 from the New York Department of State's Division of Coastal Resources. Benthic classifications follow the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). The study area spans approximately 443 square kilometers, extending from the west end of Long Beach Island in Nassau County eastward to Heady Creek at the east end of Shinnecock Bay in Suffolk County. The creation of this baseline inventory was a critical need identified in the Comprehensive Management Plan for the Long Island South Shore Estuary Reserve. Established following the state legislature's passage of the Long Island South Shore Estuary Reserve Act in 1993, the management plan aimed to protect and improve the estuary's ecosystem, enhance public access, and support sustainable economic activities. Ultimately, the goal was to sustain existing high-quality habitats and restore degraded areas to support the productivity of commercially and ecologically important estuarine species. The management plan also mandated a long-term monitoring program to evaluate progress toward estuarine resource improvement goals, building upon this foundational benthic habitat data. The layers available within the data download include biotic, geoform, and substrate. Partners: New York Department of State's Division of Coastal Resources To support the inventory of benthic habitat classification, extent, and health pursuant to the National Environmental Policy Act, the Rivers and Harbors Act, and the Coastal Zone Management Act. NOAA Office for Coastal Management 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 notPlanned EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > COASTAL theme Global Change Master Directory (GCMD) Science Keywords 17.0 benthic biotic coastal geoform seafloor substrate theme New York United States of America 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 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian MarineCadastre project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: Long Island South Shore Benthic Habitat 2002 [Data Date Range], https://www.fisheries.noaa.gov/inport/item/78509. 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 Use Constraints: These data were created for planning and management. Users should be aware of temporal changes that may have occurred since the collection of original source data sets. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. All content is licensed under the CC0 1.0 Universal public domain dedication. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 78509 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/78509.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 biota environment -73.751901 -72.411823 40.563308 40.906952 | Currentness: Publication Date 2002-06-01 Bureau Code: 006:48, Program Code: 006:055 https://marinecadastre.gov/downloads/data/benthic/long_island_south_shore_2002.zip WWW:LINK-1.0-http--link https://marinecadastre.gov/downloads/data/benthic/long_island_south_shore_2002.zip download https://benthic-data-noaa.hub.arcgis.com/ WWW:LINK-1.0-http--link https://benthic-data-noaa.hub.arcgis.com/ NOAA Benthic Data Hub Registry download dataset Accuracy A quality control inspection of the polygon labels was manually and digitally performed. A quality control AML verified that there were no unattributed polygons, label errors, node errors or invalid codes found in the coverage. The thematic accuracy was assessed via sampling of 99 field points generated by randomly selecting ten percent of the polygons in each class of interest at the 2-digit SCHEME classification level. The random point generation was accomplished using the MILA extension in ESRI ArcView 3.X and used the entire polygon as the sample unit. The actual geographic coordinates were derived from the polygon centroid and were then used as the target to navigate to in the field. Due to depth limitations, the actual centroid coordinate was often not accessible. In these cases, a representative area was surveyed as far into the polygon as possible, from the deep edge into the shallows toward shore. Navigation to each field point was accomplished using a digital NOAA nautical chart, real time Wide Area Augmentation System (WAAS) differentiated GPS (Garmin 76 unit), and a ruggedized field laptop. The field observation of habitat type at each point was conducted in one of two ways. In shallow or extremely clear water, direct observations were made from the boat. In deeper areas or areas of unclear water, a towed underwater video camera was deployed. The camera was towed long enough (2 to 4 minutes) at each station to provide a complete assessment of the dominant habitat type. The field classes were recorded to at least the two digit SCHEME classification level and where possible to the three digit level. The field classification for each point was compared to the lab classification of each point in an error matrix. The resulting accuracy at the 2-digit SCHEME classification code level was 87, and the 3-digit SCHEME classification code level was 80%. Horizontal Positional Accuracy The accuracy of these data were based on the compilation from the georeferenced scanned images. The digital boundary in respect to the scanned images exceeds the 1:24000 scale National Map Accuracy Standards. The horizontal accuracy was assessed according to the FGDC National Standard for Spatial Data Accuracy (NSSDA) methodology. This approach compares the Root Mean Square Error (RMSE) value for a set of paired points; one point from the test imagery and one point from a source of higher spatial accuracy, to verify the imagery has met the contract specifications. For this project, 20 spatial accuracy points were collected using a Trimble GeoExplorer 3 GPS at terrestrial features spaced throughout the study area. According to the NSSDA methodology, the polygonal boundaries are +/- 5.5 meters. Completeness Report All features were digitized and labeled from orthorectified geotiff images. Coded features were cross-referenced with the Florida System for Classification of habitats in Estuarine and Marine Environments (SCHEME). All inconsistent data was corrected. Six images in flightline 2 were not included in the AT solution because these frames consisted entirely of water. These images were warped using an affine transformation to be included in the mosaic. For two of the aforementioned images, there were not enough photo-identifiable locations to accurately perform the affine transformation. The transformation was still attempted to prevent a hole in the mosaic. The accuracy for these images is unknown. Conceptual Consistency These data are logically consistent Two hundred conventional-color metric film diapositives (1:20,000 scale) for Long Island, New York were collected. Photographs were taken at low tide and during times that the growth stage of the SAV allowed for clear identification. Care was taken to minimize the effects of turbidity, sun glint, wind, and haze on the photos. 2002-06-01T00:00:00 During August 2002, NOAA staff collected 95 field observations throughout the study area and this information was incorporated into the data. In June 2003, after reviewing the photography, questionable areas were visited by contract staff and the findings were subsequently applied. The map layers provided delineated polygons and lines representing benthic habitat data. Each polygon feature was given a 1,2,3 or 4 digit number representing 11 habitats. 2002-08-01T00:00:00 Aerial Photography provided by the Division of Coastal Resources were scanned at a resolution of 15 microns. Ground control points were collected primarily from NYSDS 2-foot orthophotos. Additional control points were collected from USGS DOQQs, where coverage from the primary source was lacking. All elevations were derived from USGS digital elevation models. A bundle block adjustment was performed using Albany and exterior orientation parameters were calculated. Boeing/Autometric's Softplotter was used to orthorectify the photos. The images were then dodged and mosaicked using Z/I's Orthopro. No additional color-balancing was performed as the mosaic's intended purpose was the delineation of benthic habitats. The mosaic was then output into 1,000 by 1,000-meter tiles with a 0.5-meter pixel resolution. The naming convention uses the first 3 numbers of the UTM x coordinate followed by the first 4 numbers in the UTM y coordinate of the southwest corner. Stereo digital images were created and the habitat features were interpreted and digitized on screen using softplotter microstation resulting in accurate and efficient 3D extraction of the data. Habitats were delineated with a high level of detail with the minimum mapping unit (MMU) being 0.01 hectares (approximately 10 by 10 meters).The digitized polygons had the following specifications: Vertex Distance less than 1.0 meter, Node Snap Distance less than 4.0 meters, and Arc Snap Distance less than 4.0 meters. 2003-12-31T00:00:00 The data were converted from a single ESRI polygon data set 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. This produced separate biotic, geoform, and substrate feature layers from the original input benthic habitat dataset. Each of the three feature layers contain respective CMECS biotic, geoform, and substrate component attributes where an "Equal" or "Nearly Equal" SCHEME value was present in the original data. Polygons for which no biotic, geoform, or 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 Standardized common design elements, cleaned up field content, repaired geometry, and projected to NAD83. 2025-08-01T00:00:00 Source Contribution: Ground control points used for aerial triangulation solution (unpublished material) New York Department of State 1994-04-01 publication Unknown originator Source Contribution: Orthorectified aerial photography (unpublished material) New York Department of State Division of Coastal Resources 2002-06-01 publication Unknown https://cugir.library.cornell.edu/ WWW:LINK-1.0-http--link Source Citation URL Source Citation URL information originator 2002-06-03 2002-06-18 Source Contribution: Digital Ortho Quarter-Quads (DOQQs) United States Geological Survey (USGS) Unknown originator