{ "layers": [ { "currentVersion": 10.81, "cimVersion": "2.6.0", "id": 0, "name": "Depth (m)", "type": "Raster Layer", "description": "Great Lakes bathymetry has been compiled as a component of a NOAA project to rescue Great Lakes lake floor geological and geophysical data and make it more accessible to the public. The project is a cooperative effort between investigators at the NOAA National Geophysical Data Center's Marine Geology & Geophysics Division (NGDC/MGG) and the NOAA Great Lakes Environmental Research Laboratory (GLERL). was compiled utilizing the entire historic sounding data base. The entire historic hydrographic sounding data base from the U.S. and Canada, originally collected for nautical charting purposes, was used to create a complete and accurate representation of Lake Ontario bathymetry. The U.S. data primarily came from the NOS Hydrographic Survey Data. This and other bathymetric sounding data collected by the U.S. National Ocean Service's (NOS) Coast Survey and the U. S. Army Corps of Engineers was employed to construct bathymetric contours at 1 meter intervals from 1-10 meters depth and 2 meter intervals at depths greater than 10 meters. Compilation scales ranged from 1:10,000 to 1:50,000. Bathymetric sounding data collected by the Canadian Hydrographic Service (CHS) were employed to construct bathymetric contours at 1 meter intervals and compilation scales ranging from 1:1,000 to 1:30,000. Digitization of the bathymetric contours, merging of the bathymetric contour data sets, poster construction, and preparation of a CD-ROM, were accomplished at the NGDC. Multibeam bathymetric data collected by the University of New Brunswick's Ocean Mapping Group (UNB-OMG), with support of the Geological Survey of Canada (GSC) and the CHS, were kindly made available in gridded form. In the two areas where multibeam bathymetric data were available, no other bathymetric data were used in the compilations. In some areas all available Canadian and U. S. bathymetric sounding data, collected at different times on different survey expeditions, were used to derive the contours. The U.S. coastline used was primarily the GLERL Medium Resolution Vector Shoreline dataset (Lee, 1998). Where needed for more coverage, the NOS Medium Resolution Vector Shoreline for the Conterminous U.S. (1994) dataset was used. Coastlines from the CHS bathymetric sounding data field sheets were used to complete the Canadian coastline. Images were constructed using the publicly-available software Generic Mapping Tools (GMT).", "geometryType": null, "copyrightText": "1) Downloaded from NOAA National Geophysical Data Center (NGDC) (http://www.ngdc.noaa.gov/mgg/greatlakes/greatlakes.html). Last accessed: August, 15, 2014. 2) The Great Lakes Aquatic Habitat Framework (GLAHF) project has been funded by the Great Lakes Fishery Trust and led by Dr. Catherine Riseng, PI at the University of Michigan School of Natural Resources and Environment, with partners from Michigan Department of Natural Resources-Institute for Fisheries Research, NOAA Great Lakes Environmental Research Laboratory, International Joint Commission, Michigan State University, The Nature Conservancy, Ontario Ministry of Natural Resources, University of Minnesota-Duluth, U.S. Fish & Wildlife Service, U.S. Geological Survey and many collaborating partners in both the USA and Canada. 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The ESA data ranges in dates from 1987 through the late 1990s, and the ACOE shoreline descriptions are from the 2012 oblique imagery interpetation. The full shoreline class descriptions were reviewed for both datasets and harmonized into 6 common classes, which were further simplified into 3 classes for aquatic habitat classification purposes.", "geometryType": "esriGeometryPolyline", "sourceSpatialReference": { "wkid": 102100, "latestWkid": 3857, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -20037700, "falseY": -30241100, "xyUnits": 10000, "falseZ": 0, "zUnits": 1, "falseM": 0, "mUnits": 1 }, "copyrightText": "The Great Lakes Aquatic Habitat Framework (GLAHF) project has been funded by the Great Lakes Fishery Trust and lead by the University of Michigan School of Natural Resources and Environment, with partners from Michigan Department of Natural Resources-Institute for Fisheries Research, NOAA Great Lakes Environmental Research Laboratory, International Joint Commission, Michigan State University, The Nature Conservancy, Ontario Ministry of Natural Resources, University of Minnesota-Duluth, U.S. Fish & Wildlife Service, U.S. Geological Survey and many collaborating partners in both the USA and Canada. 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The shoreline was aquired from the Great Lakes Hydrography Dataset and is 1:24,000 scale or better. The shoreline was divided into 1 km segments and the sinuosity was calculated by dividing the length of the shoreline segment by the straight line distance between the beginning and end point of the segment.", "geometryType": "esriGeometryPolyline", "sourceSpatialReference": { "wkid": 102100, "latestWkid": 3857, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -20037700, "falseY": -30241100, "xyUnits": 10000, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "copyrightText": "The Great Lakes Aquatic Habitat Framework (GLAHF) project has been funded by the Great Lakes Fishery Trust and lead by the University of Michigan School of Natural Resources and Environment, with partners from Michigan Department of Natural Resources-Institute for Fisheries Research, NOAA Great Lakes Environmental Research Laboratory, International Joint Commission, Michigan State University, The Nature Conservancy, Ontario Ministry of Natural Resources, University of Minnesota-Duluth, U.S. Fish & Wildlife Service, U.S. Geological Survey and many collaborating partners in both the USA and Canada. 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The majority of sources are published journal articles with maps that were heads-up digitized. Lake Erie Habitat Task Group data was collected by side scan sonar and proofed with grab samples and underwater video. The shoreline material was extended from the shoreline to the nearshore areas (0 - 30 m of depth) areas of all the Great Lakes except Erie. The shoreline material information is from the the U.S. Army Corps of Engineers (2012) and the shoreline classification from Environment Canada Environmental Sensitivity Atlas (1990s). The shoreline material classification was extended to areas deeper than 30 m for missing data locations in northern Lake Superior. The Euclidean Allocation Tool, part of the Spatial Analyst Extension, was used to extend the shoreline material line feature class values into the nearshore and missing data areas.", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 102100, "latestWkid": 3857, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -20037700, "falseY": -30241100, "xyUnits": 10000, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "copyrightText": "Lake Erie: 1) Ohio Sea Grant, Columbus; 2) Lake Erie Committee - Habitat Task Group, Great Lakes Fishery Commission. Lake Huron: 3) Thomas, R.L., A.L. Kemp, and C.F.M. Lewis. 1973. The surficial sediments of Lake Huron. Can. J. Earth Sci., 10:226-271. 4) Robbins, J.A. 1986. Sediments of Saginaw Bay, Lake Huron: Elemental composition and accumulation rates. Great Lakes Research Division, Special Report No. 102. USEPA, Environmental Research Laboratory-Duluth, Duluth, Minnesota. 5) Thomas, R.L. 1988. Distribution and composition of the surficial sediments of Georgian Bay and North Channel. Hydrobiologia 163:35-45. 6) Eyles, N., Mohr, L. 2006. Lake Trout/Lake Whitefish Spawning Shoal Assessment: Georgian Bay. Ontario Ministry of Natural Resources and Office of Research Services, University of Toronto Title: TWO YEAR (2004-6) COLLABORATIVE ONTARIO MINISTRY OF NATURAL RESOURCES AND UNIVERSITY OF TORONTO PROJECT Project Number: 300771 Final Report: May 2006 Submitted to Ontario Ministry of Natural Resources, and Office of Research Services, University of Toronto. Lake Michigan: 7) Powers and Robertson (1968), that essentially corroborated two earlier surveys by Hough (1935) and Ayers and Hough (1963-64), was used. 8) Bertrand, G., J. Lang, J. Ross. 1976. The Green Bay Watershed Past/Present/Future. Technical Report No. 229, University of Wisconsin Sea Grant Program, Madison, WI. 300 p. Moore, J.R. and R.P. Meyer. 1969. Progress report on the geological-geophysical survey of Green Bay, 1968. Technical Report No. 1, Universityof Wisconsin Sea grant Program, Madison, WI. 16 p. Lake Ontario: 9) Lake Ontario Substrate. Data regarding composition of Lake Ontario substrates were available in the ArcGIS shapefile format from the National Oceanic and Atmospheric Administration (NOAA), Great Lakes Environmental Research Labratory (GLERL), Ann Arbor, MI. Lake Superior: 10) Dell, C.I., 1976. Sediment distribution and bottom topography of southeastern Lake Superior. Journal of Great Lakes Research, 2(1):164-176. 11) Thomas, R.L., C.I. Dell, 1978. Sediments of Lake Superior. Journal of Great Lakes Research, 4(3-4):264-275. Lake St. Clair: 12) Boase, J.C., 2003. Integrating sonic tracking and GIS to determine habitat selection and benthic prey distribution of adult lake sturgeon in Lake St. Clair. Master\u2019s thesis. University of Michigan, Ann Arbor. 13) Damiani, V., R.L. Thomas. 1974. The suficial sediments of the Big Bay Section of the Bay of Quinte, Lake Ontario. Canadian Journal of Earth Sciences 11:1652-1576. Data compiler: 13) The Great Lakes Aquatic Habitat Framework (GLAHF) project has been funded by the Great Lakes Fishery Trust and led by Dr. Catherine Riseng at the University of Michigan School of Natural Resources and Environment, with partners from Michigan Department of Natural Resources-Institute for Fisheries Research, NOAA Great Lakes Environmental Research Laboratory, International Joint Commission, Michigan State University, The Nature Conservancy, Ontario Ministry of Natural Resources, University of Minnesota-Duluth, U.S. Fish & Wildlife Service, U.S. Geological Survey and many collaborating partners in both the USA and Canada. 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