This file geodatabase includes the following individual layers:

Lake Bathymetric Contours: Contours lines corresponding to lake bathymetry, digitized from existing lake contour maps produced by the DNR Ecological Services Lake Mapping Unit. Use in combination with other Lake Bathymetric GIS products. Classify and label contour lines with depth values. Convert to polygons and calculate lake surface area for each depth interval. Overlay onto bathymetric DEM shaded relief image.

Lake Bathymetric Digital Elevation Model (DEM): A digital elevation model (DEM) representing lake bathymetry. Cell size is most often 5m, although 10m cells were used for some lakes to reduce grid file size. This grid contains one attribute DEPTH that represents lake depth in (negative) feet. Use in combination with other Lake Bathymetric GIS products. Reclassify DEM based on various depth intervals. Calculate zonal and neighborhood statistics. Derive slope surface. Model depth data with other cell-based parameters (e.g., slope, vegetation, substrate, chemistry) to predict habitat suitability, functional niches, etc. (Note: These raster analyses require Spatial Analyst or Arc Grid.)

Lake Bathymetric Outline: Lake outline as digitized from 1991-92 aerial photography (1m DOQ's). Use in combination with other Lake Bathymetric GIS products. Overlay onto bathymetric contour lines and bathymetric DEM shaded relief image.

Lake Bathymetric Metadata: Metadata for the Lake Bathymetry layers. Each lake is represented by a polygon. The polygon attributes contain information about when the bathymetry fieldwork was completed. This layer can be used to query for bathymetry created on or between certain dates, or to ascertain what date a particular lake was investigated. The dates are in a text field. Date formats vary from record to record.

The lake mapping program was developed as a cooperative initiative between the Nebraska Game and Parks Commission and the U.S. Bureau of Reclamation (BOR) to provide detailed survey information on Nebraska's lakes and reservoirs. Each year a list of proposed lakes and reservoirs is submitted by biologists across the state and reviewed by a committee to determine the lakes of highest priority. A number of factors are taken into consideration including Aquatic Habitat Projects, lake conditions, fish communities, and angler use. The overall goal of the program is to provide fisheries managers with detailed information to be used in management and monitoring of Nebraska's lakes. Detailed bathymetric lake maps are also produced and made available to the public on the NGPC web site.

Map of Morice Lake with depth contours at 100 and 200 foot intervals.

THIS MAP IS NOT AUTHORITATIVE. SEE TERMS OF USE BELOW.This web map was developed by the National Oceanic and Atmospheric Administration’s (NOAA) Office for Coastal Management and is featured in the U.S. Great Lakes Collaborative Benthic Habitat Mapping Common Operating Dashboard in support of the Collaborative Benthic Habitat Mapping in the Nearshore Waters of the Great Lakes Basin Project. This multi-year, multi-agency project is funded through the Great Lakes Restoration Initiative (GLRI) and focuses on new bathymetric data (airborne lidar and vessel based sonar) acquisition, validation, and benthic habitat characterization mapping of the nearshore waters (0-80 meters) in the U.S. Great Lakes. This project also contributes to the regional Lakebed 2030 campaign, which aims to have high-density bathymetric data available for the entirety of the Great Lakes by 2030. This web map contains data layers reflecting the current status of bathy data coverage in the nearshore (0-80 meters) of the U.S. Great Lakes, including acquisition (lidar and multibeam sonar), ground-truthing/validation, and benthic habitat mapping and characterization. Acquisition layers include coverage areas that have been acquired and are available for public use (green) as well as those that have been acquired, but are not yet available or are still in progress (orange). The nearshore water depth layers (0-25 and 25-80 meters) were created using the National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts. The 0 to 25 meter nearshore water depth layer represents areas where bathymetric lidar data acquisition could ideally be conducted, depending on water condition and turbidity. The 25 to 80 meter layer shows locations where acoustic data acquisition can occur. See below for information on additional data layers. All data originally projected in the following coordinate system: EPSG:3175, NAD 1983 Great Lakes and St Lawrence Albers.This map will continue to be updated as new information is made available.Source Data for Bathy Coverage Layers - Acquired/Available:Topobathy and Bathy Lidar (NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/). Multibeam Sonar (National Centers for Environmental Information (NCEI) Bathymetric Data Viewer: https://www.ncei.noaa.gov/maps/bathymetry/; NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/; USGS ScienceBaseCatalog: https://www.sciencebase.gov/catalog/item/656e229bd34e7ca10833f950)Source Data for Bathy Coverage Layers - GLRI AOIs (2020-2024):Acquisition: NOAA Office for Coastal ManagementValidation/CMECS Characterizations: NOAA National Centers for Coastal Ocean Science (NCCOS)Source Data for Bathy Coverage Layers - In Progress and Planned:NOAA Office of Coast Survey Plans: https://gis.charttools.noaa.gov/arcgis/rest/services/Hydrographic_Services/Planned_Survey_Areas/MapServer/0NOAA Office for Coastal ManagementSource Data for Nearshore Water Depths:NOAA's National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts: https://www.ncei.noaa.gov/maps/grid-extract/Source Data for Spatial Prioritization Layers:Great Lakes Spatial Priorities Study Results Jun 2021. https://gis.charttools.noaa.gov/arcgis/rest/services/IOCM/GreatLakes_SPS_Results_Jun_2021/MapServerMapping priorities within the proposed Wisconsin Lake Michigan National Marine Sanctuary (2018). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_WILMPrioritizationResults/MapServerThunder Bay National Marine Sanctuary Spatial Prioritization Results (2020). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_TBNMSPrioritizationResults/MapServerSource Data for Supplemental Data Layers:International Boundary Commission U.S./Canada Boundary (version 1.3 from 2018): https://www.internationalboundarycommission.org/en/maps-coordinates/coordinates.phpNational Oceanic and Atmospheric Administration (NOAA) HydroHealth 2018 Survey: https://wrecks.nauticalcharts.noaa.gov/arcgis/rest/services/Hydrographic_Services/HydroHealth_2018/ImageServerNational Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas (MPA) Inventory 2023-2024: https://www.fisheries.noaa.gov/inport/item/69506National Oceanic and Atmospheric Administration (NOAA) National Marine Sanctuary Program Boundaries (2021): https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/ONMS_2021_Boundaries/FeatureServerNational Oceanic and Atmospheric Administration (NOAA) U.S. Bathymetry Gap Analysis: https://noaa.maps.arcgis.com/home/item.html?id=4d7d925fc96d47d9ace970dd5040df0aU.S. Environment Protection Agency (EPA) Areas of Concern: https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/epa_areas_of_concern_glahf_viewlayer/FeatureServerU.S. Geological Survey (USGS) Great Lakes Subbasins: https://www.sciencebase.gov/catalog/item/530f8a0ee4b0e7e46bd300dd Latest update: February 20, 2025

Depth maps for selected lakes. Map types: Symbols, Choropleths, Raster image. Spatial extent: Switzerland. Time: 2023

See full Data Guide here. Lake Bathymetry describes the water depth for selected reservoirs, lakes, ponds, and coves in Connecticut. It includes depth contours, also called bathymetric contours, that define lines of equal water depth in feet. This information was collected and compiled by the State of Connecticut, Department of Environmental Protection over a period of time using a variety of different techniques and equipment including manual depth soundings, use of an electronic depth sounder in conjunction with a GPS receiver to locate the boat, and digitizing previously published bathymetry maps. Data is compiled at a variety of scales and resolutions, depending on the collection method used for a particular waterbody. A list of the waterbodies included in this layer can be viewed in the GIS Metadata for Lake Bathymetry. This information was used to publish bathymetric maps in A Fisheries Guide to Lakes and Ponds of Connecticut, Robert P. Jacobs, Eileen B. O'Donnell, and William B. Gerrish, Connecticut Department of Environmental Protection Bulletin 35, 2002, SBN 0-942085-11-6.

Any standing body of fresh inland water.

Data Dictionary for lake_poly: https://docs.topo.linz.govt.nz/data-dictionary/tdd-class-lake_poly.html

This layer is a component of the Topo50 map series. The Topo50 map series provides topographic mapping for the New Zealand mainland, Chatham and New Zealand's offshore islands, at 1:50,000 scale.

Further information on Topo50: http://www.linz.govt.nz/topography/topo-maps/topo50

APIs and web services

This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services

Water with area ≥ 0.4 km². Smaller lakes or ponds can be portrayed when significant to determine land occupation. Lakes being part of the water network have to be topologically connected to watercourses.This dataset is provided by Tailte Éireann

This dataset provides lake bathymetry maps derived from Landsat surface reflectance products for a portion of the North Slope area of Alaska. A random forest regression algorithm was used to generate depths for each point identified as being part of a lake, creating depth prediction files for each Landsat scene available for the study period: 2016-07-01 to 2018-08-31. These products are fitted to the ABoVE standard projection and reference grid to make them easily scalable and geometrically compatible with other products in the ABoVE study domain. The data are provided in cloud-optimized GeoTIFF (COG) format.

Lakes were mapped based on Landsat mosaics from 2001/2002 and 2009. Maps are stored as ESRI shapefile. Projection: UTM 52N, Datum: WGS84, Extent: South-bound Latitude: 60.40 * West-bound Longitude: 113.00 * North-bound Latitude: 65.60 * East-bound Longitude: 133.40 Methods: Waterbody mapping was carried out using two mosaics of Landsat satellite images: A Landsat TM mosaic consisting of 25 images acquired during the summer of 2009 and a mosaic of 31 Landsat ETM+ images recorded during two consecutive summers in 2001 (12 images) and 2002 (19 images). Heavy cloud cover in 2001 and 2002 made it necessary to combine remote sensing data from these two years in order to create a cloud free baseline for change detection over the entire region covered by the (cloud-free) 2009 mosaic. The average day of year (DOY) for the 12 images in our 2001 dataset was therefore 213 ±19 (1st August), and for the 19 images in the 2002 dataset 212 ±15 (31st July). Precipitation, which is likely to affect the areas of lakes, did not vary between these two years. The average DOY of our 2009 dataset was 215 ±20 (3rd August) and was therefore comparable to the 2001-2002 baseline. Visual accuracy assessments were carried out on the water classifications (especially along overgrown lake margins), taking into account the extent of misclassifications due to shadows from clouds or mountains. We therefore did not apply any radiometric normalization during the mosaic-making process, in order to retain the original digital number (DN) values. Several classification iterations and subsequent visual inspections showed that Landsat's short wave infrared band 5, which has the same wavelength (1.55 - 1.75 µm) in both the TM and the ETM+ missions, provides the best results for surface water mapping. Characteristic for Landsat band 5 is the very high water absorption making it suitable for water detection. We therefore reclassified a narrow empirical DN value domain of high absorption (from 1 to 20, out of possible 256 DN, where higher values indicate higher reflectance) within this band as mapped water bodies. However, due to the absence of any independent control dataset for water bodies, we were unable to calculate accuracy statistics. A filter algorithm with a 3-by-3 opening was used to smooth the contours and remove small holes and fringes in the grid mask, especially along lake margins and in areas of shallow water. This operation significantly reduced the number of small water bodies but without having any major impact on the calculated total area covered by lakes. The filtered raster data was vectorized in order to calculate the total area covered by lakes and any changes in this area over time, and also to investigate relationships between changes in lake area and changes in lake topology. Floodplain lakes located close to river meanders showed highly dynamic surface areas that changed because of river water level fluctuations, and these were therefore removed manually. Only lakes with a size greater than or equal to 4 Landsat pixels were considered for further analysis.

These data provide an accurate high-resolution shoreline compiled from imagery of ERIE CANAL, ONEIDA LAKE TO CROSS LAKE, NY . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. 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

Bathymetry is the measurement of water depth in lakes. From the 1940s to the 1990s, the Ministry of Natural Resources and Forestry produced bathymetry maps for over 11,000 lakes across Ontario. The data can be used by the general public and GIS specialists for: * climate change modelling * fish monitoring and other ecological applications * hydrologic cycle modelling * recreational fishing maps * watershed-based water budgeting The maps were created using simple methods to determine lake depths. They were meant for resource management purposes only. Little effort was made to identify shoals and other hazards when creating these bathymetric maps. Since this data was collected, many constructed and naturally occurring events could mean that the depth information is now inaccurate, so these maps should not be used for navigational purposes. In many cases, these maps still represent the only authoritative source of bathymetry data for lakes in Ontario. Technical information These maps are being converted to digital GIS line data which can be found in the Bathymetry Line data class. The Bathymetry Index data class identifies if GIS vector lines have been created and the location of mapped lakes. The historic paper maps have been scanned into digital files. We will add new digital files to this dataset if they become available. The digital files have been grouped and packaged by regions into 13 compressed (zipped) files for download. Note: package 99 contains scanned maps where the location shown on the map could not be determined.

Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment B - Lake Ontario at Hamlin Beach State Park near North Hamlin, NY (station number 04220209). These datasets demonstrate the estimated extent and depth of lake flooding at specific water levels of 1-foot increments from 247.0 ft to 251.0 ft (International Great Lakes Datum of 1985). In t ...

We produced annual big lake maps contains lakes larger than 10 km2 on the TP from 1991 to 2018, by using the Landsat satellite imagery and cloud computing platform (Google Earth Engine).

In the period between 1654 and 1670, missionaries were the principal explorers in the Great Lakes area. This map shows expeditions covering all parts of the Great Lakes except for southern Lake Michigan. The six expeditions shown are: Des Groseilliers (1654 to 1656), Des Groseilliers and Radisson (1659 to 1660); Allouez (1665 to 1667 and 1669); Peré and Adrien Jolliet (1669); and Adrien Jolliet, Dollier and Galinée (1669 to 1670). The map also shows the extent of territory known to Europeans and the navigation of all exploration routes in the period 1651 to 1760. The historical names found on the map are derived from contemporaneous maps and written documents of the period.

Heavy rainfall occurred across Louisiana during March 8-19, 2016, as a result of a massive, slow-moving southward dip in the jet stream, which moved eastward across Mexico, then neared the Gulf Coast, funneling deep tropical moisture into parts of the Gulf States and the Mississippi River Valley. The storm caused major flooding in north-central and southeastern Louisiana. Digital flood-inundation maps for Cross Lake near the community of Shreveport in Caddo Parish, LA was created by the U.S. Geological Survey (USGS) in cooperation with Federal Emergency Management Agency (FEMA) to support response and recovery operations following a March 8-19, 2016 flood event. The inundation maps depict estimates of the areal extent and depth of flooding corresponding to 7 High Water marks (HWM) identified and surveyed by the USGS following the flood event. First release: November 2016 Revised: September 2017 (ver. 1.1) Additionally, there is a revision history text file called "September_2017_Revisions" available on the main page that explains exactly what changed in the revision.

Lake cover strongly affects the reflectance of the land surface over large areas of Alaska, and was useful for identifying extensive wetlands. Lake cover was based on the number of AVHRR water pixels in each mapped polygon, divided by the number of pixels in the polygon. Since the imagery has a pixel size of 1 km^2, lake cover is underestimated for areas with many small lakes. Pixels within 2 km of the coastline were excluded to avoid ocean water. The percent cover data were grouped into six categories: 25%. Back to Alaska Arctic Tundra Vegetation Map (Raynolds et al. 2006) Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes AVHRR NDVI , Bioclimate Subzone, Elevation, False Color-Infrared CIR, Floristic Province, Lake Cover, Landscape, Substrate Chemistry, Vegetation References Raynolds, M.K., Walker, D.A., Maier, H.A. 2005. Plant community-level mapping of arctic Alaska based on the Circumpolar Arctic Vegetation Map. Phytocoenologia. 35(4):821-848. http://doi.org/10.1127/0340-269X/2005/0035-0821 Raynolds, M.K., Walker, D.A., Maier, H.A. 2006. Alaska Arctic Tundra Vegetation Map. 1:4,000,000. U.S. Fish and Wildlife Service. Anchorage, AK.

An official map of Three Rivers Park District

These data provide an accurate high-resolution shoreline compiled from imagery of SOUTH SHORE OF PRIEN LAKE, LA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object...

This GIS layer contains bathymetric elevation bands (derived from bathymetric contours) of selected freshwater lakes in Washington State. The majority of the bathymetric contours were digitized from maps contained in a series of seven documents: Reconnaissance Data on Lakes in Washington, Water-Supply Bulletin 43, Volume 1 through 7 by the United States Geological Survey in cooperation with the Washington State Department of Ecology. The exceptions are 1) Lake Chelan which was digitized in 2016 from the publication Morphometry of Lake Chelan (published in January 1987); 2) Lake Sammamish whose digital data was acquired from King County in 2013 and is derived from data collected during the publication of Development of a Three-Dimensional Hydrographic Model of Lake Sammamish (published in November 2008); and 3) Lake Crescent, whose digital bathymetric soundings were taken by a private party during 2013/2014 and provided to the Department of Ecology and were converted to contour lines in 2016.