This dynamic image service provides numeric values representing ground surface heights, based on a digital terrain model (DTM). The ground heights are based on multiple sources. Heights are orthometric (sea level = 0), and water bodies that are above sea level have approximated nominal water heights.Data Sources: The data for this layer comes from the multiple sources listed below, with original source data in its native coordinate system. Depending on the scale being viewed; data from one of these datasets will be returned: Source DataSource Native Pixel SizeApproximate Pixel Size (m)Primary SourcesEngland 2m2 meters2Environment AgencyWales 2m2 meters2Natural Resources WalesNetherlands 3m3 meters3RijkswaterstaatAustria 10m10 meters10GeolandDenmark 3m3.2 meters3GeodatastyrelsenDenmark 10m10 meters10GeodatastyrelsenFinland 3m3 meters3NLSFinland 10m10 meters10NLSNorway 10m10 meters10NMAOS Terrain 5050 meters50Ordnance SurveyFEMA LiDAR DTM3 meters3FEMANED 1/9 arc second0.000030864197530866 degrees3USGSNED 1/3 arc second0.000092592592593 degrees10USGSNED 1 arc second0.0002777777777779 degrees31USGSNED 2 arc second0.000555555555556 degrees62USGSSRTM 1 arc second0.0002777777777779 degrees31NASASRTM 1 arc second DEM-S0.0002777777777779 degrees31Geoscience AustraliaSRTM v4.10.00083333333333333 degrees93CGIAR-CSIEarthEnv-DEM900.00083333333333333 degrees93N Robinson,NCEASGMTED2010 7.5 arc second0.00208333333333333 degrees232USGSGMTED2010 15 arc second0.00416666666666666 degrees464USGSGMTED2010 30 arc second0.0083333333333333 degrees928USGSData Coverage: To see the coverage of various datasets comprising this service, click here.Accuracy: The accuracy of these services will vary as a function of location and data source. Please refer to the metadata available in the services, and follow the links to the original sources for further details. An estimate of CE90 and LE90 are included as attributes.For more information on this service, including the terms of use, visit us online.

This map shows the extents of the various datasets comprising the World Elevation services – Terrain and TopoBathy.Topography SourcesThe Le système d'information du territoire à Genève (SITG) 0.5 meters DTM covers metropolitan Grand Geneva region of France and Switzerland.The Amt für Geoinformation Basel-Landschaft 0.25 meters DTM covers Canton of Basel-Landschaft, Switzerland.The Amt für Geoinformation Solothurn 0.5 meters DTM covers Canton of Solothurn, Switzerland.The Aargauische Geografische Informationssystem (AGIS) 0.5 meters DTM covers Canton of Aargau, Switzerland.The Amt für Raumentwicklung, Kanton Zürich 0.5 meters DTM covers Canton of Zurich, Switzerland.Ayuntamiento de Madrid 1 meter DTM covers entire Madrid city, Spain.The Instituto Geográfico Nacional (IGN) 5 and 10 meters DTM covers entire Spain.The Environment Agency 2 meters DTM covers 70 % of England.The Natural Resources Wales 2 meters DTM covers 70 % of Wales.The Scottish Government 1 meter DTM covers partial areas of Scotland.The AHN Netherlands (AHN2) 3 meters* DTM covers entire Netherlands.The Geospatial Information Authority of Japan (GSI) 0.2 arc second (approx. 5 meters) DEM5A & DEM5B covers partial areas of Japan and 0.4 arc second (approx. 10 meters) DEM10B covers entire Japan. Fundamental Geospatial Data provided by GSI with Approval Number JYOU-SHI No.1239 2016.The Geoland 10 meters DTM covers entire Austria.City of Vienna 1 meter DTM covers entire Vienna city, Austria.Land Oberösterreich 0.5 meters DTM covers entire state of Upper Austria, Austria.Land Salzburg 5 meters DTM covers entire state of Salzburg, Austria.Land Vorarlberg 5 meters DTM covers entire state of Vorarlberg, Austria.Land Tyrol 5 meters DTM covers entire state of Tyrol, Austria.Land Carinthia 5 meters DTM covers entire state of Carinthia, Austria.The Estonian Land Board 1, 5 and 10 meters DTM’s covers entire Estonia.Land NRW 1 meter DTM covers entire state of Nordrhein-Westfalen, Germany.The Geodatastyrelsen DTM (approx. 3 meters* and 10 meters) dataset covers entire Denmark.The National Land Survey of Finland 3 meters* and 10 meters DTM covers partial areas of Finland and entire Finland respectively.The Norwegian Mapping Authority 10 m DTM covers entire Norway.The Ordnance Survey’s OS Terrain 50 (50 meters) dataset covers Great Britain.The Natural Resources Conservation Service (NRCS), USDA 1 meter dataset covers partial areas of the conterminous United States.The FEMA LiDAR DTM (approx. 3 meters) covers partial areas of the conterminous United States.The USGS 3D Elevation Program’s (3DEP) 1 meter dataset covers partial areas of the conterminous United States.The National Elevation Dataset (NED) 1/9 arc second (approx. 3 meters) dataset covers partial areas of the conterminous United States and small areas of Alaska.The National Elevation Dataset (NED) 1/3 arc second (approx. 10 meters) dataset covers the conterminous United States, Hawaii, partial Alaska, and Territorial Islands of the United States.The National Elevation Dataset (NED) 1 arc second (approx. 31 meters) dataset covers the conterminous United States, Hawaii, partial Alaska, Puerto Rico, Territorial Islands of the United States, Canada and Mexico.The National Elevation Dataset (NED) 2 arc second (approx. 62 meters) dataset covers the state of Alaska.WorldDEM4Ortho 0.8 arc second (approx. 24 meters) dataset from Airbus Defense and Space GmbH covers entire earth's land surface excluding the countries of Azerbaijan, DR Congo and Ukraine.The Shuttle Radar Topography Mission (SRTM) 1 arc second (approx. 31 meters) dataset from NASA covers all land areas between 60 degrees north and 56 degrees south except Australia (which is covered by DEM-S from Geoscience Australia).The Shuttle Radar Topography Mission (SRTM) 1 arc second (approx. 31 meters) DEM-S dataset from Geoscience Australia covers Australia.The Shuttle Radar Topography Mission (SRTM) 3 arc second (approx. 93 meters) dataset covers all land areas between 60 degrees north and 56 degrees south.The EarthEnv-DEM90 3 arc second (approx. 93 meters) dataset covers approx. 90% of globe.Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) 7.5, 15 and 30 arc second (approx. 232, 464 and 928 meters) datasets cover global land areas.Bathymetry SourcesBureau of Ocean Energy Management (BOEM) 40 feet (approx. 12 meters) deepwater bathymetry grid covers northern Gulf of Mexico.NCEI NOAA's 1/9 arc second (approx. 3 meters) dataset covers Puerto Rico, U.S Virgin Islands and partial areas of eastern and western United States coast.NCEI NOAA's 1/3 arc second (approx. 10 meters) dataset covers partial areas of eastern and western United States coast.NCEI NOAA's 1 arc second (approx. 31 meters) dataset covers partial areas of northeastern United States coast.NCEI NOAA's 3 arc second (approx. 93 meters) dataset covers partial areas of northeastern United States coast.NOAA's U.S. Coastal Relief Model (CRM) 1 arc second (approx. 31 meters) covers Southern California Coast (Version 2).NOAA's U.S. Coastal Relief Model (CRM) 3 arc second (approx. 93 meters) covers United States Coast.Geoscience Australia’s Indian Ocean Bathymetry 150 meters covers MH370 flight search area (Phase 1).General Bathymetric Chart of the Oceans (GEBCO) 30 arc second (approx. 928 meters) dataset covers the entire globe (GEBCO 2014 version 20150318).* The original source data resampled to approx. 3 meters.** Bathymetry datasets are part of TopoBathy service only.Disclaimer: Bathymetry data sources are not to be used for navigation/safety at sea.

This is a 1 arc-second (approximately 30 m) resolution tiled collection of the 3D Elevation Program (3DEP) seamless data products . 3DEP data serve as the elevation layer of The National Map, and provide basic elevation information for Earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. 3DEP data compose an elevation dataset that consists of seamless layers and a high resolution layer. Each of these layers consists of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. 3DEP data are updated continually as new data become available. Seamless 3DEP data are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the conterminous United States, are referenced to the North American Vertical Datum of 1988 (NAVD 88). The vertical reference will vary in other areas. The elevations in these DEMs represent the topographic bare-earth surface. All 3DEP products are public domain.

This dataset includes data over Canada and Mexico as part of an international, interagency collaboration with the Mexico's National Institute of Statistics and Geography (INEGI) and the Natural Resources Canada (NRCAN) Centre for Topographic Information-Sherbrook, Ottawa. For more details on the data provenance of this dataset, visit here and here.

Click here for a broad overview of this dataset

This is a tiled collection of the 3D Elevation Program (3DEP) and is 1/3 arc-second (approximately 10 m) resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. The seamless 1/3 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The seamless ...

Cutblocks calculated with slopes >30° logged across Block 318 using LiDAR at 1 m resolution, LiDAR with a 5m (LiDAR F5m) average slope neighbourhood, the Shuttle Topography Radar Mission (STRM 1 arc sec) at a 1 arc second resolution and the VicMap Elevation DTM (VicMap DTM) at 10m resolution.

LiDAR (Light Detection and Ranging) is a remote sensing technology, i.e. the technology is not in direct contact with what is being measured. From satellite, aeroplane or helicopter, a LiDAR system sends a light pulse to the ground. This pulse hits the ground and returns back to a sensor on the system. The time is recorded to measure how long it takes for this light to return. Knowing this time measurement scientists are able to create topography maps.LiDAR data are collected as points (X,Y,Z (x & y coordinates) and z (height)). The data is then converted into gridded (GeoTIFF) data to create a Digital Terrain Model and Digital Surface Model of the earth. This LiDAR data was collected between June and October 2018.An ordnance datum (OD) is a vertical datum used as the basis for deriving heights on maps. This data is referenced to the Malin Head Vertical Datum which is the mean sea level of the tide gauge at Malin Head, County Donegal. It was adopted as the national datum in 1970 from readings taken between 1960 and 1969 and all heights on national grid maps are measured above this datum. Digital Terrain Models (DTM) are bare earth models (no trees or buildings) of the Earth’s surface.Digital Surface Models (DSM) are earth models in its current state. For example, a DSM includes elevations from buildings, tree canopy, electrical power lines and other features.Hillshading is a method which gives a 3D appearance to the terrain. It shows the shape of hills and mountains using shading (levels of grey) on a map, by the use of graded shadows that would be cast by high ground if light was shining from a chosen direction.This data shows the hillshade of the DTM.This data was collected by BlueSky and GeoAeroSpace and provided to the Geological Survey Ireland. All data formats are provided as GeoTIFF rasters but are at different resolutions. Data resolution is 1m.Both a DTM and DSM are raster data. Raster data is another name for gridded data. Raster data stores information in pixels (grid cells). Each raster grid makes up a matrix of cells (or pixels) organised into rows and columns. This data has a grid cell size of 1 meter by 1 meter. This means that each cell (pixel) represents an area of 1 meter squared.

Overview:
The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. The original GLO-30 provides worldwide coverage at 30 meters (refers to 10 arc seconds). Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Note that the vertical unit for measurement of elevation height is meters.

The Copernicus DEM for Europe at 100 meter resolution (EU-LAEA projection) in COG format has been derived from the Copernicus DEM GLO-30, mirrored on Open Data on AWS, dataset managed by Sinergise (https://registry.opendata.aws/copernicus-dem/).

Processing steps:
The original Copernicus GLO-30 DEM contains a relevant percentage of tiles with non-square pixels. We created a mosaic map in VRT format and defined within the VRT file the rule to apply cubic resampling while reading the data, i.e. importing them into GRASS GIS for further processing. We chose cubic instead of bilinear resampling since the height-width ratio of non-square pixels is up to 1:5. Hence, artefacts between adjacent tiles in rugged terrain could be minimized:

gdalbuildvrt -input_file_list list_geotiffs_MOOD.csv -r cubic -tr 0.000277777777777778 0.000277777777777778 Copernicus_DSM_30m_MOOD.vrt

In order to reproject the data to EU-LAEA projection while reducing the spatial resolution to 100 m, bilinear resampling was performed in GRASS GIS (using r.proj and the pixel values were scaled with 1000 (storing the pixels as Integer values) for data volume reduction. In addition, a hillshade raster map was derived from the resampled elevation map (using r.relief, GRASS GIS). Eventually, we exported the elevation and hillshade raster maps in Cloud Optimized GeoTIFF (COG) format, along with SLD and QML style files.

Projection + EPSG code:
ETRS89-extended / LAEA Europe (EPSG: 3035)

Spatial extent:
north: 6874000
south: -485000
west: 869000
east: 8712000

Spatial resolution:
100 m

Pixel values:
meters * 1000 (scaled to Integer; example: value 23220 = 23.220 m a.s.l.)

Software used:
GDAL 3.2.2 and GRASS GIS 8.0.0 (r.proj; r.relief)

Original dataset license:
https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex.pdf

Processed by:
mundialis GmbH & Co. KG, Germany (https://www.mundialis.de/)

This web map shows the Digital Terrain Model (DTM) of Hong Kong. It shows the topography of terrain (including non-ground information such as elevated roads and bridges) in 5-metre raster grid with an accuracy of ±5m. It is a subset of open data made available by the Survey and Mapping Office, Lands Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in ArcInfo ASCII Grid format and processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

Computed Digital Terrain Model (DTM) from SRTM data on the basis of OpenStreetMap data (timestamp 3/2011)

Cutbblocks calculated with slopes >30° logged across the Upper Goulburn and Thomson Catchments using LiDAR at 1 m resolution (LiDAR 1m), LiDAR with a 5m (LiDAR F5m) average slope neighbourhood, the Shuttle Topography Radar Mission (STRM) at a 1 arc second resolution and the VicMap Elevation DTM (DTM) at 10m resolution.

description: This metadata record describes the DTM comprised of classified aerial lidar elevation points, photogrammetrically compiled breaklines and the derived TIN for Spalding County, GA; abstract: This metadata record describes the DTM comprised of classified aerial lidar elevation points, photogrammetrically compiled breaklines and the derived TIN for Spalding County, GA

This web map was created to support reconnaissance of shoreline wetlands around Milford Lake in Geary, Clay, and Dickinson Counties, Kansas.

This web map was created to support reconnaissance of shoreline wetlands around El Dorado Lake in Butler County, Kansas.

Shading of the entire Alpine arc (DTM 20m)

This work integrated multiple topographic and bathymetric data sources to generate a merged topobathymetric map of western Prince William Sound. We converted all data sources to NAD 83 UTM Zone 6 N and mean higher high water (MHHW) before compiling. In Barry Arm, north of Port Wells, we used a digital terrain model (DTM) derived from subaerial light detection and ranging (lidar) data collected on June 26, 2020, (Daanen and others, 2021) and submarine multibeam sonar bathymetric data collected between August 12 and 23, 2020 (NOAA, 2020). In College Fiord, adjacent to Barry Arm to the east, we used multibeam sonar bathymetric data collected between March 25 and August 26, 2021 (NOAA, 2021). These data were combined at 5 m horizontal resolution. For the subaerial portions of the computational domain outside of Barry Arm, we used a 5 m interferometric synthetic aperture radar (IFSAR)-derived DTM for Alaska (U.S. Geological Survey, 2018, accessed through Alaska Division of Geological and Geophysical Surveys, 2013). Below the MHHW waterline and outside of Barry Arm and College Fiord, we used one of two existing topobathymetric sources. In Passage Canal, we used an 8/15 arc-second dataset (~12 m grid cells) for Whittier and Passage Canal (NOAA, 2009b). Elsewhere, we used an 8/3 arc-second dataset (~59 m grid cells) for Prince William Sound (NOAA, 2009a). These two topobathymetric datasets were themselves derived from multiple data sources, including, but not limited to: National Ocean Service hydrographic surveys, National Elevation Dataset topography, and digital coastlines datasets. The source data for both topobathymetric datasets were sparse in both deep water and near shore (up to 1.5 km spacing between observations), which necessitated interpolating over those areas. This process, which is detailed by Caldwell and others (2011), gave substantial weight to the shoreline topography in the assignment of interpolated depths in the nearshore zone. Because our results use the more recent and higher resolution IFSAR-derived topography, which has a different shoreline, we re-interpolated a narrow band of nearshore grid cells using a similar methodology. We defined the nearshore re-interpolation zone based on a constant horizontal distance from the edge of valid IFSAR observation. We used a distance of 83 m because it results in the re-interpolation of at least one but no more than two of the 8/3 arc-second topobathymetric grid cells. We first removed any grid cell of either the Prince William Sound topobathymetric dataset (NOAA, 2009a) or the Whittier and Passage Canal topobathymetric dataset (NOAA, 2009b) at its original resolution that overlapped the near-shore re-interpolation zone. After removing the grid cells in the nearshore re-interpolation zone from these two topobathymetric datasets, we bilinearly interpolated and resampled both datasets from their original resolution to match the 5 m resolution of the IFSAR DTM. We then merged the two topobathymetric datasets with the IFSAR DTM. This yielded a 5 m dataset with missing values only in the nearshore re-interpolation zone. We then added the higher resolution and more recent Barry Arm and College Fiord multibeam sonar bathymetric data, as well as the Barry Arm lidar topographic data, directly to the regional dataset in their original footprints. These data were collected closer to shore, well within the re-interpolation zone that we defined for the lower resolution topobathymetric data and had no previously interpolated zones, thus requiring no additional clipping. Accordingly, we allowed the gap between the edge of the multibeam bathymetric data footprints and the lidar- or IFSAR-defined shoreline to represent the interpolation zone for these data. Finally, we interpolated across all the missing nearshore values using bilinear interpolation, thereby generating a single, continuous 5 m topobathymetric raster. References Cited Alaska Division of Geological & Geophysical Surveys [DGGS], 2013, Elevation Datasets of Alaska: Alaska Division of Geological & Geophysical Surveys Digital Data Series 4, https://elevation.alaska.gov/, accessed May 6, 2022, at https://doi.org/10.14509/25239. Caldwell, R. J., Eakins, B. W., and Lim, E., 2011, Digital Elevation Models of Prince William Sound, Alaska: Procedures, Data Sources, and Analysis: NOAA Technical Memorandum NESDIS NGDC-40, accessed June 16, 2022, at https://www.ngdc.noaa.gov/mgg/dat/dems/regional_tr/prince_william_sound_83_mhhw_2009.pdf Daanen, R.P., Wolken, G.J., Wikstrom Jones, K., and Herbst, A.M., 2021, High resolution lidar-derived elevation data for Barry Arm landslide, southcentral Alaska, June 26, 2020: Alaska Division of Geological & Geophysical Surveys Raw Data File 2021–3, 9 p., accessed June 17, 2021, at https://doi.org/10.14509/30593. National Oceanic and Atmospheric Administration [NOAA], 1995, Report for H10655: National Oceanic and Atmospheric Administration [NOAA] web page, accessed July 22, 2021, at https://www.ngdc.noaa.gov/nos/H10001-H12000/H10655.html. National Oceanic and Atmospheric Administration [NOAA], 2020, Report for H13396: National Oceanic and Atmospheric Administration [NOAA] web page, accessed April 5, 2021, at https://www.ngdc.noaa.gov/nos/H12001-H14000/H13396.html National Oceanic and Atmospheric Administration [NOAA], 2021, Report for H13420: National Oceanic and Atmospheric Administration [NOAA] web page, accessed March 15, 2023, at https://www.ngdc.noaa.gov/nos/H12001-H14000/H13420.html. National Oceanic and Atmospheric Administration [NOAA] National Geophysical Data Center, 2009a, Prince William Sound, Alaska 8/3 arc-second MHHW coastal digital elevation model: National Oceanic and Atmospheric Administration [NOAA], National Centers for Environmental Information web page, accessed June 16, 2022, at https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.dem:735 National Oceanic and Atmospheric Administration [NOAA] National Geophysical Data Center, 2009b, Whittier, Alaska 8/15 arc-second MHHW coastal digital elevation model: National Oceanic and Atmospheric Administration [NOAA], National Centers for Environmental Information web page, accessed April 5, 2021, at https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.dem:530. U.S. Geological Survey, 2018, USGS EROS Archive – Digital Elevation – Interferometric Synthetic Aperture Radar (IFSAR) – Alaska, Accessed May 6, 2022, at https://doi.org/10.5066/P9C064CO.

A dataset that contains elevation points for the Municipality of Clarington. This information has been produced by First Base Solutions Inc. The Elevation field indicates a point's value in metres(m) above the sea level reference datum.

Horizons, Inc was contracted by the Bismarck-Mandan Metropolitan Planning Organization to provide accurate 6" pixel resolution color digital orthophotography, update 2 1/2 sections of existing 2' contour data and collect new DTM data for the generation on 2' contours on 39 new sections. The project encompassed an area of approximately 197 square miles. The existing DTM data which Horizons had collected in 2001 was updated to support 2' contours where requested. New mapping was performed on 40 sections and an additional 30 sections of DTM collection was done for ortho rectification only. Contour were generated from the updated and new DTM data and delivered in ARC Shape file format in one contiguous file. The DTM data including breaklines, random points and spot elevation points were also delivered in ARC Shape file format.

Constraints:
Not to be used for navigation, for informational purposes only. See full disclaimer for more information

This dataset has been deprecated. Please use our 2017 Digital Elevation Models instead.The Digital Terrain Model (DTM) is a 3.28 foot pixel resolution raster in GeoTIFF format upsampled to 2.5 feet to preserve detail. This was created using the ground (class = 2) lidar points and incorporating the breaklines.

The DTMs were developed using LiDAR data. LiDAR is an acronym for LIght Detection And Ranging. Light detection and ranging is the science of using a laser to measure distances to specific points. A specially equipped airplane with positioning tools and LiDAR technology was used to measure the distance to the surface of the earth to determine ground elevation. The classified points were developed using data collected in April to May 2007. The LiDAR points, specialized software, and technology provide the ability to create a high precision three-dimensional digital elevation and/or terrain models (DEM/DTM). The use of LiDAR significantly reduces the cost for developing this information.

The DTMs are intended to correspond to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). DTM data is used by county agencies to study drainage issues such as flooding and erosion; contour generation; slope and aspect; and hill shade images. This dataset was compiled to meet the American Society for Photogrammetry and Remote Sensing (ASPRS) Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy.

The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment.

This dataset does not take the place of an on-site survey for design, construction or regulatory purposes.

This metadata record describes the DTM comprised of classified aerial lidar elevation points, photogrammetrically compiled breaklines and the derived TIN for Dekalb County, GA Original contact information: Contact Name: Stacy Grear Contact Org: Dekalb County GIS Department Title: Acting Director Phone: 404-371-3619 Email: scgrear@dekalbcountyga.gov will change to scgrear@dekalbc...

This metadata record describes the DTM comprised of classified aerial lidar elevation points, photogrammetrically compiled breaklines and the derived TIN for Carroll County, GA. This dataset contains the following classifications of points: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground