This map layer shows areal and linear water features of the United States, Puerto Rico, and the U.S. Virgin Islands. The original file was produced by joining the individual State hydrography layers from the 1:2,000,000- scale Digital Line Graph (DLG) data produced by the USGS. This map layer was formerly distributed as Hydrography Features of the United States. This is a revised version of the January 2003 map layer.
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World Water Bodies provides a detailed basemap layer for the lakes, seas, oceans, large rivers, and dry salt flats of the world.
World Water Bodies represents the open water rivers, lakes, dry salt flats, seas, and oceans of the world.For complete hydrographic coverage, use this dataset in conjunction with the World Linear Water dataset.
Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In June and July 2020, the U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources and in collaboration with various cities in north- and west-central Missouri, completed bathymetric surveys of 12 lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At some lakes, supplemental data were collected in shallow areas using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary bench marks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. Mozingo Lake and Maryville Reservoir were surveyed in June 2020 as part of the group of lakes surveyed in 2020. However, extraordinary interest in the bathymetry at Mozingo Lake by the city of Maryville necessitated these data being released earlier than the other 2020 lakes (Huizinga and others, 2021, 2022). The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the remaining 10 lakes surveyed in 2020 are provided in ESRI Shapefile format (ESRI, 2021). Each of the lakes surveyed in 2020 except Higginsville has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. Data from the surveys at the Upper and Lower Higginsville Reservoirs are in two zip files on a single child page, one for the bathymetric data and one for the bathymetric quality assurance data of both lakes, and a single summary metadata file. The zip files follow the format of "####2020_bathy_pts.zip" or "####2020_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file. The various reference marks and additional points from all the lake surveys are provided in ESRI Shapefile format (ESRI, 2021) with an attribute table on the main landing page. Attribute/column labels of this table are described in the "Entity and attribute" section of the metadata file. References Cited: Environmental Systems Research Institute, 2021, ArcGIS: accessed May 20, 2021, at https://www.esri.com/en-us/arcgis/about-arcgis/overview Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005. Huizinga, R.J., Oyler, L.D., and Rivers, B.C., 2022, Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in northwestern Missouri, 2019 and 2020: U.S. Geological Survey Scientific Investigations Map 3486, 12 sheets, includes 21-p. pamphlet, https://doi.org/10.3133/sim3486. Huizinga R.J., Rivers, B.C., and Oyler, L.D., 2021, Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020 (ver. 1.1, September 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P92M53NJ. Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://pubs.usgs.gov/of/2013/1101. Rydlund, P.H., Jr., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods, book 11, chap. D1, 102 p. with appendixes, https://doi.org/10.3133/tm11D1.
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This North American Environmental Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Environmental Atlas data sets is strictly to complete the context of the data.The North American Environmental Atlas – Lakes and Rivers dataset displays the coastline, linear hydrographic features (major rivers, streams, and canals), and area hydrographic features (major lakes and reservoirs) of North America at a reference spatial scale of 1:1,000,000.This map offers a seamless integration of hydrographic features derived from cartographic products generated by Natural Resources Canada (NRCan), United States Geological Survey (USGS), National Institute of Statistics and Geography, (Instituto Nacional de Estadística y Geografía-Inegi), National Water Commission (Comisión Nacional del Agua-Conagua).This current version of the North America Lakes and Rivers dataset supersedes the version published by the Commission for Environmental Cooperation in 2011.Files Download
This layer presents the water feature areas of the United States. It provides the water bodies for geographic display and analysis at regional levels.To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA National Atlas Water Feature Areas - Water Bodies.
Water-supply lakes are the primary source of water for many communities throughout Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water-supply. Many of the water-supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In April and May 2023, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the cities of Adrian, Ironton, Unity Village, and Vandalia, Missouri, completed bathymetric surveys of six (6) lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At Adrian, supplemental data were collected in a shallow upper reservoir using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary benchmarks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the surveys are provided in ESRI Shapefile format (ESRI, 2023). Each of the six lakes surveyed in 2023 has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. The zip files follow the format of "####2023_bathy_pts.zip" or ####2023_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the associated metadata file. The various reference marks and additional points from all the lake surveys are provided in ESRI Shapefile format (ESRI, 2023) with an attribute table on the main landing page. Attribute/column labels of this table are described in the "Entity and attribute" section of the associated metadata file. References Cited: Environmental Systems Research Institute, 2023, ArcGIS: accessed July 12, 2023, at https://www.esri.com/en-us/arcgis/about-arcgis/overview. Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005. Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://doi.org/10.3133/ofr20131101. Rydlund, P.H., Jr., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods, book 11, chap. D1, 102 p. with appendixes, https://doi.org/10.3133/tm11D1.
This layer is sourced from maps.bts.dot.gov.
ArcGIS Online Map Service created by Esri to provide access to: (1) Latin American and Caribbean 2015 Water Extent and (2) Latin American and Caribbean Water Bodies. The first dataset reflects the accumulation of the daily MODIS Surface Water detection product 3D3OT that is provided by the NASA’s MODIS Near Real-Time Global Flood Mapping Project, implementing the water detection algorithm of Dartmouth Flood Observatory (DFO). The dataset was produced by DFO for The Latin American Bank (CAF). The second dataset, the SRTM Water Body Data, is a by-product of the data editing performed by NGA to produce the finished SRTM Digital Terrain Elevation Data Level 2 (DTED® 2). In accordance with the DTED® 2 specification, the terrain elevation data have been edited to portray water bodies that meet minimum capture criteria. Ocean, lake and river shorelines were identified and delineated. Lake elevations were set to a constant value. Ocean elevations were set to zero. Rivers were stepped down monotonically to maintain proper flow. After this processing was done, the shorelines from the one arc second (approx. 30-meter) DTED® 2 were saved as vectors in ESRI 3-D Shapefile format. The dataset was produced by the USGS EROS for CAF. The data are hosted as tile layers in ArcGIS Online to improve performance. The water bodies layer is represented in dark blue and the water extent (aka flooding) in light blue. The original data can be downloaded from https://www.geosur.info.
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The USGS National Hydrography Dataset (NHD) downloadable data collection from The National Map (TNM) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. For additional information on NHD, go to https://www.usgs.gov/core-science-systems/ngp/national-hydrography.
DWR was the steward for NHD and Watershed Boundary Dataset (WBD) in California. We worked with other organizations to edit and improve NHD and WBD, using the business rules for California. California's NHD improvements were sent to USGS for incorporation into the national database. The most up-to-date products are accessible from the USGS website. Please note that the California portion of the National Hydrography Dataset is appropriate for use at the 1:24,000 scale.
For additional derivative products and resources, including the major features in geopackage format, please go to this page: https://data.cnra.ca.gov/dataset/nhd-major-features Archives of previous statewide extracts of the NHD going back to 2018 may be found at https://data.cnra.ca.gov/dataset/nhd-archive.
In September 2022, USGS officially notified DWR that the NHD would become static as USGS resources will be devoted to the transition to the new 3D Hydrography Program (3DHP). 3DHP will consist of LiDAR-derived hydrography at a higher resolution than NHD. Upon completion, 3DHP data will be easier to maintain, based on a modern data model and architecture, and better meet the requirements of users that were documented in the Hydrography Requirements and Benefits Study (2016). The initial releases of 3DHP include NHD data cross-walked into the 3DHP data model. It will take several years for the 3DHP to be built out for California. Please refer to the resources on this page for more information.
The FINAL,STATIC version of the National Hydrography Dataset for California was published for download by USGS on December 27, 2023. This dataset can no longer be edited by the state stewards. The next generation of national hydrography data is the USGS 3D Hydrography Program (3DHP).
Questions about the California stewardship of these datasets may be directed to nhd_stewardship@water.ca.gov.
This map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap includes a vector tile layer for marine water body names, undersea feature names, and derived bathymetric depth values in meters. Land features include administrative boundaries, cities, inland waters, roads, overlaid on land cover and shaded relief imagery, including ocean floor relief.The map was compiled from a variety of best available sources from several data providers, including General Bathymetric Chart of the Oceans GEBCO_08 Grid version 20100927 and IHO-IOC GEBCO Gazetteer of Undersea Feature Names August 2010 version (https://www.gebco.net), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and DeLorme, HERE, and Esri for topographic content. The basemap was designed and developed by Esri.The Ocean Basemap currently provides coverage for the world down to a scale of ~1:577k; coverage down to ~1:72k in United States coastal areas and various other areas; and coverage down to ~1:9k in limited regional areas. This demonstrates how the Ocean Basemap can and will be extended with higher resolution bathymetric data. You can contribute your bathymetric data to this service and have it served by Esri for the benefit of the Ocean GIS community. For details, see the Community Maps Program.The Ocean Basemap includes two layers, a base layer and overlay vector reference layer, so that users can display their operational data between they layers as needed. For the latest and most detailed information, please visit the World Ocean Base map service description or World Ocean Reference tile layer.
This layer is a component of Water.
© BGIS, NJDEP
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Author: A Brist, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 8, high schoolResource type: lessonSubject topic(s): water, gisRegion: united statesStandards: Minnesota Social Studies Standards
Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.
Standard 2. Geographic inquiry is a process in which people ask geographic questions and gather, organize and analyze information to solve problems and plan for the future.
Standard 3. Places have physical characteristics (such as climate, topography and vegetation) and human characteristics (such as culture, population, political and economic systems).
Standard 9. The environment influences human actions; and humans both adapt to and change, the environment.Objectives: Students will be able to:
The National Hydrography Dataset Plus High Resolution (NHDplus High Resolution) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US Geological Survey, NHDPlus High Resolution provides mean annual flow and velocity estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.For more information on the NHDPlus High Resolution dataset see the User’s Guide for the National Hydrography Dataset Plus (NHDPlus) High Resolution.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territoriesGeographic Extent: The Contiguous United States, Hawaii, portions of Alaska, Puerto Rico, Guam, US Virgin Islands, Northern Marianas Islands, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: USGSUpdate Frequency: AnnualPublication Date: July 2022This layer was symbolized in the ArcGIS Map Viewer and while the features will draw in the Classic Map Viewer the advanced symbology will not. Prior to publication, the network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original dataset. No data values -9999 and -9998 were converted to Null values.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute.Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map.Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.
Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are predicted throughout the water column (known as temperature profiles). In this data release, multiple modeling approaches were used to generate predictions of daily temperature profiles for thousands of lakes in the Midwest.
Predictions were generated using two modeling frameworks: a machine learning model (specifically an entity-aware long short-term memory or EA-LSTM model; Kratzert et al., 2019) and a process-based model (specifically the General Lake Model or GLM; Hipsey et al., 2019). Both the EA-LSTM and GLM frameworks were used to generate lake temperature predictions in the contemporary period (1979-04-12 to 2022-04-11 for EA-LSTM and 1980-01-01 to 2021-12-31 for GLM; times differ due to modeling spin-up/spin-down configurations) using the North American Land Data Assimilation System [NLDAS; Mitchell et al., 2004] as meteorological drivers. In addition, GLM was used to generate lake temperature predictions under future climate scenarios (covering 1981-2000, 2040-2059, and 2080-2099) using six dynamically downscaled Global Climate Models (GCM; Notaro et al., 2018) as meteorological drivers. Appropriate application of the six GCMs is dependent on the use-case and will be up to the user to determine. For an example of a similar analysis in the Midwest and Great Lakes region using 31 GCMs, see Byun and Hamlet, 2018.
The modeling frameworks and driver datasets have slightly different footprints and input data requirements. This means that some of the lakes do not meet the criteria to be included in all three modeling approaches, which results in different numbers of lakes in the output (noted in the file descriptions below). The input data requirements for lakes to be included in the EA-LSTM predictions are lake latitude, longitude, elevation, and surface area, plus NLDAS drivers at the lake's location. All 62,966 lakes included this data release met these requirements. The input data requirements for lakes to be included in the contemporary GLM NLDAS-driven predictions are lake location (within one of the following 11 states: North Dakota, South Dakota, Iowa, Michigan, Indiana, Illinois, Wisconsin, Minnesota, Missouri, Arkansas, and Ohio), latitude, longitude, maximum depth (though more detailed hypsography was used where available), surface area, and a clarity esitmate, plus NLDAS drivers at the lake's location. 12,688 lakes included this data release met these requirements. The input data requirements for lakes to be included in the future climate scenario GCM-driven predictions were the same as for the contemporary GLM predictions, except GCM drivers at the lake's location were required in place of NLDAS drivers. 11,715 lakes included this data release met these requirements.
This data release includes the following files:
This work was completed with funding support from the Midwest Climate Adaptation Science Center (MW CASC) and as part of the USGS project on Predictive Understanding of Multiscale Processes (PUMP), an element of the Integrated Water Prediction Program, supported by the Water Availability and Use Science Program to advance multi-scale, integrated modeling capabilities to address water resource issues. Access to computing facilities was provided by USGS Advanced Research Computing, USGS Tallgrass Supercomputer (doi.org/10.5066/F7D798MJ).
This map shows the total change in the average July–September surface water temperatures in 34 North American lakes from 1985 to 2009, as measured by satellites. Red circles represent warming; blue circles represent cooling. Larger circles indicate larger changes. Circles with black borders represent lakes where the trend was statistically significant.
Primary lakes in north and central Florida developed from GNIS, USGS 1:24k Hydrography data, 1994 DOQQs, and USGS DRGs and reviewed by DEP and WMD personnel.
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This layer was developed by the Natural Resources Department of the Atlanta Regional Commission. The dataset contains polygonal hydrographic features including lakes, ponds, reservoirs, swamps, and marshes in the Metropolitan North Georgia Water Planning District.Original data were captured from the NHDWaterbody geospatial data layer included in the High Resolution National Hydrography Dataset Plus (NHDPlus HR). Features in the NHDWaterbody geospatial layer that intersected the Georgia State boundary were selected and spatially joined to Georgia county boundaries and the WBDHU8 geospatial data layer found in the U.S. Geological Survey's Watershed Boundary Dataset. Layers were spatially joined using the Largest Overlap matching method. The spatial join was removed upon calculating values for the COUNTY_FIPS, COUNTY_NAME, HUC8_ID, and HUC8_SUBBASIN attributes. The CLASS attribute was created to identify Lakes equal to or larger than 10 acres as Major and less than 0.5 acres as Minor. Data in the HYDRO_CAT and RESERVOIR_TYPE attributes were sourced from values encoded in the Feature Code (FCode) field of the NHDWaterbody geospatial data layer.Attributes:FEATURE = Type of hydrologic featureCLASS = Class used to identify major and minor waterbodiesGNIS_ID = A permanent, unique number assigned by the Geographic Names Information System (GNIS) to a geographic feature name for the sole purpose of uniquely identifying that name application as a record in any information system database, dataset, file, or documentGNIS_NAME = The Geographic Names Information System (GNIS) assigned proper name, specific term, or expression by which a particular geographic entity is known.HUC8_ID = 8-digit hydrologic unit code used to identify subbasins in the hydrologic unit systemHUC8_SUBBASIN = Subbasin name of the 8-digit hydrologic unit code in the hydrologic unit systemCOUNTY_FIPS = County Federal Information Processing System (FIPS) codeCOUNTY_NAME = County nameHYDRO_CAT = Hydrographic feature categoryRESERVOIR_TYPE = Type of reservoirACRES = Area of the feature in acresELEVATION = The vertical distance from a given datumGlobalID = A type of UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is createdlast_edited_user = User to last edit featurelast_edited_date = Date feature was last editedShape = Feature geometryShape_Length = Length of the feature, which may differ from the field measured length due to differences in calculation. Units are map units.Shape_Area = Area of feature in map units squaredSource: U.S. Geological Survey, National Geospatial ProgramDate: 2023
This Dept. of State Office of the Geographer World Water Body Limits data set has both detailed and simplified versions posted here, along with a centroid point file. All are intended as non-authoritative reference guides for the placement of water body names on maps. This data set includes 158 water bodies worldwide: all tidal water bodies exceeding both 250 kilometers in length and, at some point, 100 kilometers in width, plus some notable smaller ones.….Numerous smaller water bodies are not included. In many locations, there are overlapping water body names (e.g. Golfo di Genova/ Ligurian Sea/ Mediterranean Sea) and the second field in this data set includes the more notable secondary/overlapping names. Also note that the shoreline of these water bodies is approximate and most small to medium sized islands are excluded. Names conform with the US Board on Geographic Names approved conventional and standard forms. While a member, the US has never and continues to generally not conform to various International Hydrographic Office water body limits documents and drafts since the 1940’s. Relatively recently, 13 IHO states voted to add a fifth ocean, the “Southern Ocean”, south of 60 degrees South latitude; many authorities continue to consider the world as having just four oceans.
The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.
This Dept. of State Office of the Geographer World Water Body Limits data set has both detailed and simplified versions posted here, along with a centroid point file. All are intended as non-authoritative reference guides for the placement of water body names on maps. This data set includes 158 water bodies worldwide: all tidal water bodies exceeding both 250 kilometers in length and, at some point, 100 kilometers in width, plus some notable smaller ones.….Numerous smaller water bodies are not included. In many locations, there are overlapping water body names (e.g. Golfo di Genova/ Ligurian Sea/ Mediterranean Sea) and the second field in this data set includes the more notable secondary/overlapping names. Also note that the shoreline of these water bodies is approximate and most small to medium sized islands are excluded. Names conform with the US Board on Geographic Names approved conventional and standard forms. While a member, the US has never and continues to generally not conform to various International Hydrographic Office water body limits documents and drafts since the 1940’s. Relatively recently, 13 IHO states voted to add a fifth ocean, the “Southern Ocean”, south of 60 degrees South latitude; many authorities continue to consider the world as having just four oceans.
This map layer shows areal and linear water features of the United States, Puerto Rico, and the U.S. Virgin Islands. The original file was produced by joining the individual State hydrography layers from the 1:2,000,000- scale Digital Line Graph (DLG) data produced by the USGS. This map layer was formerly distributed as Hydrography Features of the United States. This is a revised version of the January 2003 map layer.