Long Island Benthic Habitat (FINAL_POLY), 2003

Abstract:

In June 2002, 200 1:20,000 scale conventional-color metric film diapositives for Long Island, New York were collected as part of an effort to map submerged aquatic vegetation (SAV) in Long Island's South Shore bays. They were provided by New York State Department of State's Division of Coastal Resources. 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. The photos were scanned at a resolution of 15 microns. Ground control points were collected primarily from NYSDOS 2 ft 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 paramaters 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 1000m by 1000m tiles with a 0.5m 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(approx.10m x 10m).The digitized polygons have the following specifications: Vertex Distance < 1.0 m Node Snap Distance < 4.0 m Arc Snap Distance < 4.0 m During August 2002, NOAA CSC & NYSDOS staff collected 95 field observations throughout the study area and this information was incorporated into the map. In June 2003, after reviewing the photography, questionable areas were visited by Greenhorne and O'Mara staff and the findings were subsequently applied to the map. The map layers show delineated polygons and lines representing benthic habitat data. Each polygon feature is given a 1,2,3 or 4 digit number representing 11 habitats. The item numbers are stored in the attribute table under Text. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02." The collected data was converted to an ARCGIS format for quality control and delivery. The data was assessed for horizontal spatial accuracy and thematic agreement during 2003.

Purpose:

This task order pertains to the production and delivery of the following items: 1) The creation of digital arc benthic habitat data from existing conventional-color metric aerial photography of Long Island's south shore bays 2) The creation of digital polygon benthic habitat data from existing conventional-color metric aerial photography of Long Island's south shore bays 3) The creation of scanned ortho-rectified photographs of the study area in a geotiff format 4) The creation of a digital color balanced ortho-mosaic of the study area

Supplemental_Information:

The study area covers approximately 443 km2 from the west end of Long Beach Island in Nassau County to Heady Creek at the east end of Shinnecock Bay in Suffolk County.

Currentness_Reference:

ground condition

Attribute_Accuracy_Report:

A quality control inspection of the polygon labels was manually and digitally performed. A quality control AML verified that there are no unattributed polygons,label errors,node errors or invalid codes found in the coverage.