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.

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.

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.

This layer is sourced from maps.bts.dot.gov.

Although the State of Maryland has no natural lakes, it has an abundance of created lakes and ponds that are used for wildlife habitat, recreation, water supply, and other reasons. This digital file shows the locations of the largest and most significant lakes, as well as some of the smaller lakes and ponds in the state. Most of the digitized lakes and ponds are greater than 2 acres.These data represents the results of data collection/processing for a specific Maryland Department of Natural Resources activity and indicates general existing conditions. As such, they are only valid for their intended use, content, time, and accuracy specifications. The user is responsible for any application of the data for other than its intended purpose.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Hydrology/MD_Waterbodies/FeatureServer/3

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 (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 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the cities of Cameron, Springfield, and Unionville, Missouri, completed bathymetric surveys of seven (7) 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. 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 seven lakes surveyed in 2022 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 "####2022_bathy_pts.zip" or ####2022_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, 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 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. First posted November 29, 2023 Revised July 31, 2024, ver. 1.1

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:

1. lake_locations.zip: shapefiles with the centroid of each lake (62,966 lakes)
2. lake_metadata.csv: metadata for each lake with predictions available (62,966 lakes)
3. lake_id_crosswalk.csv: mapping between the identifications for lakes used in this data release to state and other organization systems
4. lake_hypsography.csv: lake-specific area-depth relationships (13,785 lakes)
5. lake_temperature_observations.zip: temperature observational data used in training and/or evaluation (8,760 lakes)
6. meteorological_inputs_GCM.zip: meteorological input data for future climate scenarios, zipped NetCDF files. One NetCDF file per climate model (see the "lake_metadata.csv" file for how to map the lakes to the cells in these NetCDF files).
7. meteorological_inputs_NLDAS_{GROUP}.zip: meteorological input data for the contemporary period organized into grids, groups of zipped CSV files (see the "lake_metadata.csv" file for how to map the lakes to these files).
8. lake_temp_preds_EALSTM_NLDAS_AR-MN.zip: daily lake temperature profiles for the contemporary period generated by the EA-LSTM model. The zip folder contains a NetCDF file for each of the following states: AR, IA, IL, IN, KS, KY, LA, MI, and MN. Includes data for 33,646 lakes across these 9 states.
9. lake_temp_preds_EALSTM_NLDAS_MO-WY.zip: daily lake temperature profiles for the contemporary period generated by the EA-LSTM model. The zip folder contains a NetCDF file for each of the following states: MO, MS, MT, ND, NE, OH, OK, SD, TN, TX, WI, and WY. Includes data for 29,320 lakes across these 12 states.
10. lake_temp_preds_GLM_NLDAS.zip: daily lake temperature profiles for the contemporary period generated by GLM. The zip folder contains a NetCDF file for each of the following states: AR, IA, IL, IN, MI, MN, MO, ND, OH, SD, and WI. Includes data for 12,688 lakes across these 11 states.
11. lake_temp_preds_GLM_GCM_{CLIMATE MODEL}.zip: daily lake temperature profiles for future climate scenarios generated by GLM, one zip file per climate model. Each zip file contains a NetCDF file for each of the following states: AR, IA, IL, IN, MI, MN, MO, ND, OH, SD, and WI. Includes data for 11,715 lakes across these 11 states.
12. lake_temp_metrics_GLM_NLDAS.feather: annual lake temperature metrics for the contemporary period derived from daily predictions generated by GLM (12,688 lakes)
13. lake_temp_metrics_GLM_GCM.feather: annual lake temperature metrics for future climate scenarios derived from daily predictions generated by GLM (11,715 lakes)
14. lake_temp_model_evaluation_metrics.csv: overall and seasonal evaluation metrics for each model + meteorological driver dataset
15. extract_output_from_netCDFs.R: an R script showing examples for how to pull lake temperature predictions and meteorological data from the NetCDF files
16. netCDF_extract_utils.R: an R script containing functions used in "extract_output_from_netCDFs.R"
17. lake_locations.png: a figure showing the centroids for all 62,966 lakes included in this data release

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 layer is a component of Water.

© BGIS, NJDEP

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 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.

L_ME_RIV_SDAGE_2022-2027_ETATLIEUX_2019_L_019

Stream-type water bodies whose elementary watersheds cut off the department of Corrèze. They are derived from the benchmarks used for the preparation of the 2019 state of the watersheds Adour-Garonne and Loire-Bretagne serving as the basis for the development of the water management master plans (Sdage) of the Adour-Garonne and Loire-Bretagne watersheds of the next 2022-2027 management cycle. For each body of water the values of its state (ecological and chemical) are given. These were determined in the context of the State of the Sites (EDL) of the Adour-Garonne and Loire-Bretagne basins approved in December 2019 by the coordinator prefects of these basins.

The data assembled in this layer were published in Q1 2020 by the water agencies Adour-Garonne and Loire-Bretagne.

River-type water bodies and data from the Adour-Garonne and Loire-Bretagne site reports were provided by the water agencies in Q1 2020. For Adour-Garonne, stream-type water bodies and data from the 2019 EDL can be accessed from the website: http://adour-garonne.eaufrance.fr/catalogue/10ff23eb-2079-4afe-bbca-f0a470a2c3bf For Loire-Bretagne, stream-type water bodies and data from the 2019 EDL can be accessed from the website: https://sdage-sage.eau-loire-bretagne.fr/home/projet-de-sdage-preparer-la-re-1/les-documents-du-sdage-2022-2027/etat-des-lieux-2019.html Water agencies to establish their water bodies are part of the BD Carthage repository (database on thematic mapping of water agencies and the Ministry responsible for the environment).

Meaning of the fields awarded European Water Body Code name of body of water ‘Class of the ecological status or ecological potential of the body of water: 1=very good, 2=good, 3=average, 4=poor, 5=bad, U=uncategorised’ ‘Chemical status class without ubiquistic molecules: 2=good, 5=bad, U=uncategorised’ nature of the body of water: Natural, Artificial, Strongly Modified ‘Class of the ecological status or ecological potential of the body of water: 1=very good, 2=good, 3=average, 4=poor, 5=bad, U=unclassified; and class of chemical state without ubiquitous molecules of the body of water:
2=good, 5=bad, U=uncategorised’

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 bathymetry, marine water body names, undersea feature names, and derived depth values in meters. Land features include administrative boundaries, cities, inland waters, roads, overlaid on land cover and shaded relief imagery.

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. 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.

Tip: Here are some famous oceanic locations as they appear in this map. Each URL below launches this map at a particular location via parameters specified in the URL: Challenger Deep, Galapagos Islands, Hawaiian Islands, Maldive Islands, Mariana Trench, Tahiti, Queen Charlotte Sound, Notre Dame Bay, Labrador Trough, New York Bight, Massachusetts Bay, Mississippi Sound

This data set provides the water quality classifications of New York State's lakes, rivers, streams and ponds, collectively referred to as water bodies. All water bodies in the state are provided a water quality classification based on existing, or expected best usage, of each water body or water body segment. Under New York State's Environmental Conservation Law (ECL), Title 5 of Article 15, certain waters of the state are protected on the basis of their classification. Streams and small water bodies located in the course of a stream that are designated as C (T) or higher (i.e., C (TS), B, or A) are collectively referred to as "protected streams." The public should not make any business decisions and/or financial commitments based on the water quality classification data until they have secured the necessary permissions from the Department of Environmental Conservation. 2. The NYSDEC asks to be credited in derived products. 3. Secondary distribution of the data is not allowed. 4. Any documentation provided is an integral part of the data set. Failure to use the documentation in conjunction with the digital data constitutes a misuse of the data. 5. Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other condition. For more information see https://www.dec.ny.gov/chemical/23853.htmlView Dataset on the Gateway

Both this geodatabase and its associated web map display the shoreline miles and water acres within the 88 ocean, coastal, and Great Lakes National Park units. The following feature classes are included: "WRD Shoreline Miles Update 2024": Existing shoreline products from federal, state, and NPS sources were visually assessed for each park unit and compared to reference imagery within ESRI ArcGIS Pro to determine the best available data. The resulting shoreline delineation for each park unit was reviewed by NPS park, regional, national, and/or Inventory and Monitoring Network staff, and manual adjustments were made as needed to accurately reflect the shoreline. "WRD Water Acres Update 2024": For park units located in marine settings, “water acres” refers to ocean, estuarine, and tidally influenced waters. For park units in the Great Lakes region, “water acres” refers to freshwater. For all park units, freshwater bodies such as lakes, ponds, and rivers that exist inland of the marine or Great Lake shoreline are excluded. "WRD Park Boundaries 2022": Data current as of December 2022, provided by NPS Land Resources Division (LRD) and accessible via NPS DataStore (with a few exceptions as noted within the attribute table).

The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams, lakes, ponds, reservoirs and mooring cells. Rivers, Lakes, Ponds, Reservoirs, Hidden Lakes, Reservoirs or Ponds: If greater than 25 feet and less than 30 feet wide, is captured as a double line stream. If greater than 30 feet wide it is captured as a river. Lakes are large standing bodies of water greater than 5 acres in size. Ponds are large standing bodies of water greater than 1 acre and less than 5 acres in size. Polygons are created from Stream edges and River Edges. The Ohio River, Monongahela River and Allegheny River are coded as Major Rivers. All other River and Stream polygons are coded as River. If a stream is less than 25 feet wide it is placed as a single line and coded as a Stream. Both sides of the stream are digitized and coded as a Stream for Streams whose width is greater than 25 feet. River edges are digitized and coded as River.

A Drainage Canal is a manmade or channelized hydrographic feature. Drainage Canals are differentiated from streams in that drainage canals have had the sides and/or bottom stabilized to prevent erosion for the predominant length of the feature. Streams may have had some stabilization done, but are primarily in a natural state. Lakes are large standing bodies of water greater than five acres in size. Ponds are large standing bodies of water greater than one acre in size and less than five acres in size. Reservoirs are manmade embankments of water. Included in this definition are both covered and uncovered water tanks. Reservoirs that are greater than one acre in size are digitized. Hidden Streams, Hidden Rivers and Hidden Drainage Canal or Culverts are those areas of drainage where the water flows through a manmade facility such as a culvert. Hydrology Annotation is not being updated but will be preserved. If a drainage feature has been removed, as apparent on the aerial photography, the associated drainage name annotation will be removed. A Mooring Cell is a structure to which tows can tie off while awaiting lockage. They are normally constructed of concrete and steel and are anchored to the river bottom by means of gravity or sheet piling.

Mooring Cells do not currently exist in the Allegheny County dataset but will be added. Locks are devices that are used to control flow or access to a hydrologic feature. The edges of the Lock are captured. Dams are devices that are used to hold or delay the natural flow of water. The edges of the Dam are shown.

This dataset is harvested on a weekly basis from Allegheny County’s GIS data portal. The full metadata record for this dataset can also be found on Allegheny County's GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the "Go to resource" option) to the right of the "ArcGIS Open Dataset" text below.

Category: Environment

Department: Geographic Information Systems Group; Department of Administrative Services

Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: Original Lakes and Drainage datasets combined to create this layer. Data was updated as a result of a flyover in the spring of 2004. A database field has been defined for all map features named Update Year". This database field will define which dataset provided each map feature. Map features from the current map will be set to "2004". The earlier dataset map features the earlier dataset map features used to supplement the area near the county boundary will be set to "1993". All new or modified map data will have the value for "Update Year" set to "2004".

Data Dictionary: https://docs.google.com/spreadsheets/d/16BWrRkoPtq2ANRkrbG7CrfQk2dUsWRiaS2Ee1mTn7l0/edit?usp=sharing

The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Ge ...

The National Hydrography Dataset (NHD), found in the A-16 National Geospatial Data Asset Portfolio, contains information related to naturally occurring and constructed bodies of surface water in the United States. This United States Geological Survey service from The National Map is a comprehensive set of digital spatial data that encodes information about lakes, ponds, and reservoirs, paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gauges, 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. The NHD is available nationwide in two seamless datasets, one based on a neighborhood or larger scale (1:24,000) and referred to as high resolution NHD, and the other based on a city scale (1:100,000) and referred to as medium resolution NHD. The National Map allows free downloads of public domain NHD data in either Esri File Geodatabase or Shapefile formats. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.Thumbnail source image courtesy of: Sharon Mollerus

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.

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 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.