The U.S. Geological Survey, in cooperation with the Grand River Dam Authority, computed a 2009 capacity and area table of Grand Lake O’ the Cherokees. The capacity and area table defines the relation between the elevation of the water surface and the volume and area of water that is impounded. The capacity and area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Esri ArcGIS 10.5.1, a geographic information system (GIS). The TIN surface was created from three datasets: (1) a 2009 Oklahoma Water Resources Board (OWRB) bathymetric survey of Grand Lake (OWRB, 2009, 2016), (2) a 2017 USGS bathymetric survey of the Neosho, Spring, and Elk Rivers (Hunter and others, 2017; Smith and others, 2017), and (3) a 2010 lidar-derived digital elevation model (DEM) (USGS, 2016a). Where the USGS and OWRB survey data overlapped, the more recently collected USGS data were given preference. The DEM data were used in areas with land-surface elevations above the conservation pool elevation of 743.40 ft above NAVD88. Because the OWRB (2009) bathymetric survey data were the predominant source of data used (in terms of quantity and areal coverage), the results and products of this data release and the report (Hunter and Labriola, 2019) were considered to reflect bathymetric conditions in 2009.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Download .zipThese files contain the lake boundary data used by the Ohio Division of Wildlife for the construction of lake maps. Lake boundary data was derived by digitizing Ohio Statewide Imagery Program (OSIP-1) data. Additional details on the digitizing process are available on request.
Lake boundary: http://ogrip.oit.ohio.gov/ProjectsInitiatives/StatewideImagery.aspxContact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov
This webmap displays the ~1950s historical extent of Grand Lake in the Atchafalaya Basin based on available historic topographic and survey maps.The Atchafalaya Basin is a resource that must be managed on a system-wide basis to ensure this invaluable national resource is protected and restored. It is recognized that better tools must be developed for managing the Basin and that data evaluation is necessary to ensure sound decision-making. The natural resource inventory and assessment system (NRIAS) that was approved and funded in the FY 2010 Louisiana Department of Natural Resources Atchafalaya Basin Program Annual Plan and served as the primary tool for decision making in the Basin. The system provided a means for scientists to access relevant project data for the Basin and to request and fund data acquisition, monitoring, and data analysis to be used in project planning. This will be critical in providing information necessary for the development and approval of specific projects to be included for construction in future Annual Plans, projects that meet the needs of Louisiana citizens and protect our our natural resources. This and related datasets were created to demonstrate the patterns of inundation, turbid water and floating aquatic vegetation in the Atchafalaya Basin Floodway System at various river levels of the Atchafalaya River.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Download .zipThis file contains point data used for the construction of lake maps for State of Ohio. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. The data was collected by fisheries biologists with the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived from this data by creating a raster file from the point bathymetry and boundary lake data. The Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov
These data represent the approximate delineation of land and water in the area of Grand Lake in the Atchafalaya basin in the early 1800s. These data are based on a georectified map of the original township surveys conducted between 1807 and 1838. The composite township survey map was created in 1948 and was obtained from the Louisiana State Lands Office in Baton Rouge, LA. The composite township survey map was georectified using airphots and lidar to current landforms using ERDAS Imagine. The delineation of land and water was conducted using Adobe Photoshop, and was restricted to an arbitrarily defined area that captured most of the former extent of Grand Lake. The resolution of the original delineation was 3x3m and was ressampled to 30x30m in this application for comparison to modern data sources These data represent the approximate delineation of land and water in the area of Grand Lake in the Atchafalaya basin in the early 1800s. These data are based on a georectified map of the original township surveys conducted between 1807 and 1838. The composite township survey map was created in 1948 and was obtained from the Louisiana State Lands Office in Baton Rouge, LA. The composite township survey map was georectified using airphots and lidar to current landforms using ERDAS Imagine. The delineation of land and water was conducted using Adobe Photoshop, and was restricted to an arbitrarily defined area that captured most of the former extent of Grand Lake. The resolution of the original delineation was 3x3m and was ressampled to 30x30m in this application for comparison to modern data sources. The Atchafalaya Basin is a resource that must be managed on a system-wide basis to ensure this invaluable national resource is protected and restored. It is recognized that better tools must be developed for managing the Basin and that data evaluation is necessary to ensure sound decision-making. The natural resource inventory and assessment system (NRIAS) that was approved and funded in the FY 2010 Louisiana Department of Natural Resources Atchafalaya Basin Program Annual Plan and served as the primary tool for decision making in the Basin. The system provided a means for scientists to access relevant project data for the Basin and to request and fund data acquisition, monitoring, and data analysis to be used in project planning. This will be critical in providing information necessary for the development and approval of specific projects to be included for construction in future Annual Plans, projects that meet the needs of Louisiana citizens and protect our our natural resources. This and related datasets were created to demonstrate the patterns of inundation, turbid water and floating aquatic vegetation in the Atchafalaya Basin Floodway System at various river levels of the Atchafalaya River.
This GIS dataset depicts the surficial geology of the Grand Rapids area (NTS 84A/SE) (GIS data, polygon features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the polygon features of Alberta Geological Survey Map 566, Surficial Geology of the Grand Rapids Area (NTS 84A/SE).
This GIS dataset depicts the surficial geology of the Grand Rapids area (NTS 84A/SE) (discontinuous permafrost features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the permafrost polygon features of Alberta Geological Survey Map 566, Surficial Geology of the Grand Rapids Area (NTS 84A/SE).
This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative of Lake Charles, Louisiana. The source imagery was acquired on November 23, 2009 and March 12, 2010. The true color images were acquired with an Applanix Digital Sensor System (DSS). The ground sample distance (GSD) for each pixel is 0.35 m. The original images were acquired at a higher resolution than the final ortho-rectified mosaic. Ortho-rectified mosaic tiles are an ancillary product of NOAA's Coastal Mapping Program (CMP), created through a wider Integrated Ocean and Coastal Mapping initiative to increase support for multiple uses of the data.
These data are .tif files with associated files and Federal Geographic Data Committee (FGDC) metadata. Infrared (IR) orthoimagery for this region is archived at the NODC under accession number 0100232.
These data were automated to provide an accurate high-resolution historical shoreline of Grand Haven, Lake Michigan suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
All available bathymetry and related information for Grande Cache Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
All available bathymetry and related information for Grande Cache Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
All available bathymetry and related information for Grande Cache Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
All available bathymetry and related information for Grande Cache Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
Alberta Geological Survey partnered with Alberta Environment (AENV) Northern Region to compile and analyze groundwater data in the Cold Lake-Beaver River Drainage Basin. This compilation and analysis assisted AENV and its stakeholders to complete an update of the Beaver River-Cold Lake Water Management Plan. This digital file provides the contours of the hydraulic-head distributions for the Grand Centre, Sand River, Ethel Lake and the Muriel Lake formations, and the Empress Formation Units 1 and 3 based on reported static-water levels from water wells within the study area.
This 30 Meter Digital Elevation Model (DEM) is a copy of the USGS 1:24,000 scale Level 2 DEMs for the State.
There are three quadrangles known be be Level 1 DEM data: Town Line Lake (q1925), Grand Portage (q1261) and Grand Portage OE N (q1161).
This DOCC document is related to petition ID: 17-07 and CPA-2017-B
Alberta Geological Survey partnered with Alberta Environment (AENV) Northern Region to compile and analyze groundwater data in the Cold Lake-Beaver River Drainage Basin. This compilation and analysis assisted AENV and its stakeholders to complete an update of the Beaver River-Cold Lake Water Management Plan. This digital file provides the contours of the hydraulic-head distributions for the Grand Centre, Sand River, Ethel Lake and the Muriel Lake formations, and the Empress Formation Units 1 and 3 based on reported static-water levels from water wells within the study area.
This dataset was acquired from the Louisiana state lands office in paper format. The data were scanned and georectified in ERDAS Imagine. The data were assembled into map format in the 1940s based on original township and range descriptions. The map shows the earliest detailed configuration of the Atchafalaya basin, and particularly Grand Lake, before the onset of levee construction in the 1930s. The Atchafalaya Basin is a resource that must be managed on a system-wide basis to ensure this invaluable national resource is protected and restored. It is recognized that better tools must be developed for managing the Basin and that data evaluation is necessary to ensure sound decision-making. The natural resource inventory and assessment system (NRIAS) that was approved and funded in the FY 2010 Louisiana Department of Natural Resources Atchafalaya Basin Program Annual Plan and served as the primary tool for decision making in the Basin. The system provided a means for scientists to access relevant project data for the Basin and to request and fund data acquisition, monitoring, and data analysis to be used in project planning. This will be critical in providing information necessary for the development and approval of specific projects to be included for construction in future Annual Plans, projects that meet the needs of Louisiana citizens and protect our our natural resources. This and related datasets were created to demonstrate the patterns of inundation, turbid water and floating aquatic vegetation in the Atchafalaya Basin Floodway System at various river levels of the Atchafalaya River.Allen, Y.C., Constant, G.C., and Couvillion, B.R., 2008, Preliminary classification of water areas within the Atchafalaya Basin Floodway System by using Landsat imagery: U.S. Geological Survey Open-File Report 2008 1320, 14 p. https://pubs.er.usgs.gov/usgspubs/ofr/ofr20081320
This Large Area Comprehensive Plan is related to petition ID: 17-07 and DOCC Grand Lakes
Rezone petition document for petition ID: 17-07
The U.S. Geological Survey, in cooperation with the Grand River Dam Authority, computed a 2009 capacity and area table of Grand Lake O’ the Cherokees. The capacity and area table defines the relation between the elevation of the water surface and the volume and area of water that is impounded. The capacity and area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Esri ArcGIS 10.5.1, a geographic information system (GIS). The TIN surface was created from three datasets: (1) a 2009 Oklahoma Water Resources Board (OWRB) bathymetric survey of Grand Lake (OWRB, 2009, 2016), (2) a 2017 USGS bathymetric survey of the Neosho, Spring, and Elk Rivers (Hunter and others, 2017; Smith and others, 2017), and (3) a 2010 lidar-derived digital elevation model (DEM) (USGS, 2016a). Where the USGS and OWRB survey data overlapped, the more recently collected USGS data were given preference. The DEM data were used in areas with land-surface elevations above the conservation pool elevation of 743.40 ft above NAVD88. Because the OWRB (2009) bathymetric survey data were the predominant source of data used (in terms of quantity and areal coverage), the results and products of this data release and the report (Hunter and Labriola, 2019) were considered to reflect bathymetric conditions in 2009.