Description: The bedrock geology layer was compiled from the USGS integrated geologic map database and the Ontarion Ministry of Northern Development and Mines bedrock geology layer. 10 high level, common classes were defined and all bedrock types were assigned to the common classes. The common clases include: carbonate, crystalline - igneous, crystalline - metamorphic, evaporite, iron formation, sandstone, shale, slate, unconsolidated, water. The layer was dissovled by common class name and attributed to the GLAHF Project 30 m spatial grid.
Service Item Id: f7f03522f27d47e08046bbdf22da2db2
Copyright Text: 1) USGS Open-File Report 2005-1325. Preliminatry integrated geologic map databases for the United States. http://pubs.usgs.gov/of/2005/1325/index_map.htm (Last accessed: August 11, 2014); 2) Ontario Ministry of Northern Development and Mines. Bedrock Geology. http://www.mndm.gov.on.ca/en/mines-and-minerals/applications/ogsearth (Last accessed: August 11, 2014); 3) 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. More information about this project can be found at http://ifr.snre.umich.edu/projects/glahf/.
Description: The Great Lakes Coastal Wetland Inventory was developed through the Great Lakes Coastal Wetland Consortium (GLCWC) as a bi-national initiative to create a single, hydrogeomorphically classified inventory of all coastal wetlands of the Great Lakes Basin. This inventory is built upon the most comprehensive coastal wetland data currently available for the Great Lakes and connecting channels. For the U.S., National Wetlands Inventory (NWI); Wisconsin Wetland Inventory (WWI); Ohio Wetland Inventory (OWI); and U.S. Fish and Wildlife Service (USFWS) reports and corresponding topographic maps by Charles E. Herdendorf which describe coastal wetlands in the Great Lakes Basin (Herdendorf Wetland Inventory, HWI); are the major datasets included. Additional wetland projects were utilized for each lake if available. The Canadian dataset is built off 'The Ontario Great Lakes Coastal Wetland Atlas'. Published in March 2003, this document summarized all known data to-date for coastal wetlands and identifies numerous data gaps in the current information. Ontario Ministry of Natural Resources (OMNR) digital Evaluated Wetlands polygon data provided the spatial extents for digital wetland boundaries where available. Data gaps have been filled in using air photograph interpretation following National Biological Service guidelines, and digitization techniques following GLCWC guidelines. The inventory contains the spatial extents, hydrogeomorphic classification, name, centroid position and area measurement for all known coastal wetlands of the Great Lakes basin. Hydrological modifiers imposing on each system are also identified. Hydrogeomorphology dictates wetland delineations per criteria developed by the Great Lakes Coastal Wetlands Consortium (GLCWC) working group and described in the Great Lake Commission's (GLC) Great Lakes Coastal Wetlands Classification First Revision (July 2003; original November 2001). This data is not intended for use finer than scale of sources used. The Inventory includes both a point, GLCWC_CWI and polygon coverage, GLCWC_CWI_pt. The orginial polygon layer was converted to a 30m gridded (by cell center) product by HGM Class 1 to work with the GLAHF framework.
Service Item Id: f7f03522f27d47e08046bbdf22da2db2
Copyright Text: The U.S.G.S, CWS-OR, MNFI and OMNR would like to acknowledge the Great Lakes Commission Wetland Constortium (GLCWC), Ohio State SeaGrant, and Mary Moffett, U.S. Environmental Protection Agency, Mid-Continent Ecology Division for their help in the acquisition of the primary wetland datasets used in this project. Also, thanks to Doug Wilcox and Martha Carlson, USGS Great Lakes Science Center, for additional wetland information. Funding was provided by the GLCWC.
Description: A mosaic of the U.S. NLCD 01 (2011 edition) and the Canadian 2000 PLO and the SOLRIS v1.2. These datasets were created from imagery collected in approximately the same time frames,included similar categories, and covered the full extent of the Great Lakes Basin. Land cover has an important influence on watersheds and the Great Lakes. When performing land cover related analyses on the Great Lakes, it is important to utilize cohesive data across the entire basin for both the U.S. and Canada. However, the province of Ontario and the U.S. utilize different classification systems for land cover datasets. We created a crosswalked data layer that includes similar categories across the basin and provides a snapshot of land cover from 2000/2001. The Ontario data sources were: 1) the 29 class 2000 Provincial Landcover Ontario (PLO); and, 2) the 25 class 2000 SOLRIS v1.2 landcover. The PLO covers Northern Ontario and SOLRIS v1.2 covers Southern Ontario. Both data layers can be downloaded from the Land Information Ontario (LIO) Metadata Management Tool: https://www.javacoeapp.lrc.gov.on.ca/geonetwork/srv/en/main.home. The U.S. data source was the 2001 United States Geological Survey (USGS) National Landcover Dataset, 2011 edition. This layer contains 8 level one classes and 16 nested level two classes and can be downloaded from the Multi-Resolution Land Characteristics Consortium (MRLC): http://www.mrlc.gov/nlcd01_data.php
We created a mosaic of the U.S. NLCD 01 (2011 edition) and the Canadian 2000 PLO and the SOLRIS v1.2. We selected these datasets since they were created from imagery collected in approximately the same time frames, included similar categories, and covered the full extent of the Great Lakes Basin. To process the data, we first clipped each input data layer by the extent of the Great Lakes States and the Province of Ontario. Next, we reclassified the raster values using the Reclassify tool, changing the original values to crosswalked values. Next we projected the data into the standardized projection used by the Great Lakes Aquatic Habitat Framework (GLAHF) USA Contiguous Albers Equal Area Conic USGS projection and resampled the pixel size to 30 meters, the standard projection and pixel size for the Great Lakes Aquatic Habitat Framework (GLAHF). We then created a mosaic using Mosaic to New Raster, incorporating the waters of the Great Lakes as the value “1”, using the shoreline of the watersheds in the GLAHF Hydrology Data Package V1 as a mask to determine if water pixels were part of the Great Lakes.
Landcover Codes:
1 = Great Lakes Waters
11 = Water
2 = Developed
31 = Barren Land
41 = Deciduous Forest
42 = Evergreen Forest
43 = Mixed Forest
52 = Scrub/Shrub
71 = Grassland/Herbaceous
8 = Agriculture
90 = Forested Wetland
95 = Emergent Wetland
98 = Other/Undefined
1) National Land Cover Dataset, 2001 v11 http://www.mrlc.gov/nlcd01_data.php; 2) The 2000 Provincial Landcover Ontario (PLO) https://www.javacoeapp.lrc.gov.on.ca/geonetwork/srv/en/main.home; 3) 2000 Southern Ontario Land Resrouce Information System (SOLRIS) v 1.2 https://www.javacoeapp.lrc.gov.on.ca/geonetwork/srv/en/main.home; 4) Anderson, J.R., Hardy, E. E., Roach, J.T., Witmer, R. E., 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. United States Department of the Interior. Geological Survey Professional Paper 964. A revision of the land use classification system as presented in U.S. Geological Survey Circular 671. Conversion to Digital 2001. United States Government Printing Office, Washington. 1976.; 5) Hollenhorst, T. P., Johnson, L.B., and Ciborowski, J., 2011. Monitoring land cover change in the Lake Superior Basin. Aquatic Ecosystem Health and Management, 14(4):433-442.; 5)Wolter, P.T., Johnston, C. A., Niemi, G.J., 2006. Land Use Land Cover Change in the U.S. Great Lakes Basin 1992 to 2001. Journal of Great Lakes Research. 32:607-628.
Service Item Id: f7f03522f27d47e08046bbdf22da2db2
Copyright Text: 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. More information about this project can be found at http://glahf.org/.
Description: A mosaic of the U.S. NLCD 11 (2011 edition) and the Canadian 2000 SOLRIS v2.0. These datasets were created from imagery collected in approximately the same time frames, included similar categories, and covered the full extent of the Great Lakes Basin. Land cover has an important influence on watersheds and the Great Lakes. When performing land cover related analyses on the Great Lakes, it is important to utilize cohesive data across the entire basin for both the U.S. and Canada. However, the Province of Ontario and the U.S. utilize different classification systems for land cover datasets. We created a crosswalked data layer that includes similar categories across the basin and provides a snapshot of land cover from 2011/2012, which also includes data from 2000 due to data availability constraints. This layer was meant to be used in conjunction with the GLAHF 2001/2000 landcover crosswalk to evaluate change over time across the Great Lakes Basin. The Ontario data sources were: 1) the 29 class 2000 Provincial Landcover Ontario (PLO); and, 2) the 30 class 2012 Southern Ontario Land Resrouce Information System (SOLRIS) v2.0 landcover. The PLO covers Northern Ontario and SOLRIS v2.0 covers Southern Ontario. Both data layers can be downloaded from the Land Information Ontario (LIO) Metadata Management Tool: https://www.javacoeapp.lrc.gov.on.ca/geonetwork/srv/en/main.home. The U.S. data source was the 2011 United States Geological Survey (USGS) National Landcover Dataset, 2011 edition. This layer contains 8 level one classes and 16 nested level two classes and can be downloaded from the Multi-Resolution Land Characteristics Consortium (MRLC): http://www.mrlc.gov/nlcd01_data.php
For our crosswalk, we selected the NLCD 11 (2011 version) and the Canadian SOLRIS 2.0 because they were created from imagery collected in approximately the same time frames, and because they were comparable to the 2001 NLCD and the 2000 SOLRIS v1.2. However, a comparable layer from the same time period was not available for Northern Ontario. To process the data, we first clipped each input data layer by the extent of the Great Lakes States and the Province of Ontario. Next, we reclassified the raster values using the Reclassify tool, changing the original values to crosswalked values. Next we projected the data into the standardized projection used by the Great Lakes Aquatic Habitat Framework (GLAHF) USA Contiguous Albers Equal Area Conic USGS projection and resampled the pixel size to 30 meters, the standard projection and pixel size for the Great Lakes Aquatic Habitat Framework (GLAHF). We then created a mosaic using Mosaic to New Raster, incorporating the waters of the Great Lakes as the value “1”, using the shoreline of the watersheds in the GLAHF Hydrology Data Package V1 as a mask.
Landcover Codes:
1 = Great Lakes Waters
11 = Water
2 = Developed
31 = Barren Land
41 = Deciduous Forest
42 = Evergreen Forest
43 = Mixed Forest
52 = Scrub/Shrub
71 = Grassland/Herbaceous
8 = Agriculture
90 = Forested Wetland
95 = Emergent Wetland
98 = Other/Undefined
1) National Land Cover Dataset, 2011 v11 http://www.mrlc.gov/nlcd01_data.php; 2) The 2000 Provincial Landcover Ontario (PLO) https://www.javacoeapp.lrc.gov.on.ca/geonetwork/srv/en/main.home; 3) 2012 Southern Ontario Land Resrouce Information System (SOLRIS) v 2.0 https://www.javacoeapp.lrc.gov.on.ca/geonetwork/srv/en/main.home; 4) Anderson, J.R., Hardy, E. E., Roach, J.T., Witmer, R. E., 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. United States Department of the Interior. Geological Survey Professional Paper 964. A revision of the land use classification system as presented in U.S. Geological Survey Circular 671. Conversion to Digital 2001. United States Government Printing Office, Washington. 1976.; 5) Hollenhorst, T. P., Johnson, L.B., and Ciborowski, J., 2011. Monitoring land cover change in the Lake Superior Basin. Aquatic Ecosystem Health and Management, 14(4):433-442.; 5)Wolter, P.T., Johnston, C. A., Niemi, G.J., 2006. Land Use Land Cover Change in the U.S. Great Lakes Basin 1992 to 2001. Journal of Great Lakes Research. 32:607-628.
Service Item Id: f7f03522f27d47e08046bbdf22da2db2
Copyright Text: 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. More information about this project can be found at http://glahf.org/.
Description: The quaternary geology layer was compiled from the USGS quaternary geologic atlas of the United States by quadrangle. The quadrangles used for this layer include NM-15, NM-16, NL-15, NL-16, NL-17, NL-18, NK-16, NK-17, and NK-18. 17 high level, common classes were defined and all quaternary types were assigned to the common classes. The common clases include: artifical till; coarse-textured, medium-textured, and fine-textured glacial till; dune sand; end moraines of coarse-textured, medium-textured, and fine-textured till; exposed bedrock surfaces; glacial outwash sand/gravel & postglacial alluvium; ice-contact outwash sand and gravel; lacustrine clay and silt; lacustrine sand and gravel; peat and muck; postglacial alluvium; thin to discontinuous glacial till over bedrock; and water. The layer was dissovled by common class name and attributed to the GLAHF project 30 m spatial grid.
Service Item Id: f7f03522f27d47e08046bbdf22da2db2
Copyright Text: 1) USGS, 1990s. Quaternary Geologic Atlas of the United States. (http://gec.cr.usgs.gov/data/quatatlas/index.shtml). Last accessed: August 15, 2014. 2) 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. More information about this project can be found at http://ifr.snre.umich.edu/projects/glahf/.