Download In State Plane Projection Here The 2017 Digital Terrain Model (DTM) is a 2 foot pixel resolution raster in Erdas IMG format. 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 2017. 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.

The Digital Terrain Model of the Czech Republic of the 4th generation (DMR 4G) represents a picture of natural or by human activity modified terrain surface in digital form as heights of discrete points in a regular grid (5 x 5 m) with coordinates X,Y,H, where H means the altitude in the Baltic Vertical Datum - After Adjustment with total standard error of 0.3 m of height in the bare terrain and 1 m in forested terrain. The model is based on the data acquired by altimetry airborne laser scanning of the Czech Republic territory between years 2009 and 2013. DMR4G is established to analyse terrain situation at regional scale and character, e.g. for extensive transport and water management projects planning, natural phenomena modelling etc.

Bare earth elevation surface (DTM) and actual surface (DSM) given in meters in the NAVD88 (Geoid12A realization) vertical reference frame. Horizontal coordinates referenced to appropriate UTM zone. Bare earth is created by classifying and removing vegetation and man-made structures from lidar point cloud prior to surface generation. Both the DSM and DTM are mosaicked onto a spatially uniform grid at 1 m spatial resolution in 1 km by 1 km tiles provided in a geotiff format.

Based on data from R/V Polarstern multibeam sonar surveys between 1984 and 1997 a high resolution bathymetry has been generated for the central Fram Strait. The area ensonified covers approx. 36,500 sqkm between 78°N-80°N and 0°E-7.5°E. Basic outcome of the investigation is a Digital Terrain Model (DTM) with 100 m grid spacing which was utilized for contouring and generation of a new series of bathymetric charts (AWI BCFS).

description: Digital Surface and Terrain Models (DSM,DTM) dataset current as of 2009. This bare earth DEM dataset was created from LiDAR supporting the generation of 2 foot contours..; abstract: Digital Surface and Terrain Models (DSM,DTM) dataset current as of 2009. This bare earth DEM dataset was created from LiDAR supporting the generation of 2 foot contours..

The 2017 Digital Terrain Model (DTM) is a 2 foot pixel resolution raster in Erdas IMG format. 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 2017. 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.

The Digital Terrain Model of the Czech Republic of the 4th generation (DMR 4G) represents a picture of natural or by human activity modified terrain surface in digital form as heights of discrete points in a regular grid (5 x 5 m) with coordinates X,Y,H, where H means the altitude in the Baltic Vertical Datum - After Adjustment with total standard error of 0.3 m of height in the bare terrain and 1 m in forested terrain. The model is based on the data acquired by altimetry airborne laser scanning of the Czech Republic territory between years 2009 and 2013. DMR4G is established to analyse terrain situation at regional scale and character, e.g. for extensive transport and water management projects planning, natural phenomena modelling etc.

NYC 1foot Digital Elevation Model: A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_DigitalElevationModel.md

WMS-DMR 4G view service is provided as a public service to use Digital Terrain Model of the Czech Republic of the 4th generation (DMR 4G). This WMS service is set for providing of the data in various forms: GrayscaleHillshade, AspectRGBMap, SlopeRGBMap, SlopeRGBMap2, TintedHillshadeContinuous.

Rapid development and growing availability of Unmanned Aerial Vehicles (UAV) translates into their more wide-spread application in monitoring of the natural environment. Moreover, advances in computer analysis techniques allow the imaging performed with UAVs to be used in creating Digital Elevation Models (DEM) and Digital Surface Models (DSM). DEMs are often employed in studies on geology, environment, engineering, and architecture. The presented paper discusses the procedures enabling the making of a precise DEM, discusses the aerial imaging data processing technique as well as determines the accuracy of obtained products in comparison with an existing Digital Elevation Model. Based on available literature the author indicates four sets of input parameters applicable in UAV imaging. Data collection missions were performed on two separate days in the area of a small peatland located in the Tuchola Pinewood, Poland. The study aims to address two research issues. Firstly, the author investigates the possibility of creating a DSM based on UAV imaging performed under unfavorable conditions and indicates whether results obtained via this method display sufficient quality to be seen as an alternative to the traditional surveying techniques (LiDAR). Secondly, the article determines the input parameters for a photogrammetric flight that ensure the highest accuracy of a resulting DSM. The analyses show a strong positive correlation between the DSMs prepared based on UAV imaging with data obtained by means of traditional methods (LiDAR). Mean correlation coefficient ranged from 0.45 to 0.75 depending on the type of land use and input parameters selected for a given flight. Furthermore, the analysis revealed that DSMs prepared based on UAV imaging—provided the most suitable input parameters are selected—can be a viable alternative to standard measurements, with the added benefit of low cost and the capacity for repeatable data collection in time. Admittedly, the method in question cannot be utilized in relation to peatlands overgrown with high vegetation (trees, shrubs) as it effectively diminishes the accuracy of obtained DSMs.

The DTM elevations (identified as "pixel value" on the map) refer to the land both in urbanized and extra-urban areas, while in areas with lakes and reservoirs the elevations refer to the water level. The main sources used to prepare the DTM are: 1. the regional Topographic Database for approximately 80% of the territory (in particular the information layers concerning the morphology: contour lines, listed points and break lines); 2. Lidar surveys with a resolution of 1 m x 1 m along the branches of the watercourses and, for limited portions where the data were not available, with altimetric data from the previous edition of the regional DTM 20 m x 20, from the source Carta Tecnica Regionale scale 1:10.000 edition 1982-1994. Method of making. For the generation of the DTM 5X 5, 2015 edition, the following data were used: Vector data of the Topographic Database: from the DbT lots available in July 2015, a series of information layers were extracted, analyzed and harmonized, deemed suitable for the creation of a model digital terrain through the preventive construction of the "terrain data model", a vector model of data that provides for the multiscale and multiresolution approach of the data. The accuracy of the altimetric data for these areas depends on the scale of the DBT survey: - in the areas surveyed at a scale of 1:2,000 (urbanized areas), the accuracy at altitude is equal to 0.30m, corresponding to level 4 of the "Technical Requirements for the production of Digital Terrain Models” - Intesa GIS State Regions; - in areas surveyed at a scale of 1:5,000 (intensively infrastructured extra-urban areas) the altitude accuracy is equal to 1m, corresponding to level 3 of the "Technical Requirements for the production of Digital Terrain Models" - in areas surveyed at a 1 scale: 10,000 (extra urban agricultural and forestry) the accuracy at altitude is equal to m 2, corresponding to level 4 of the "Technical Requirements for the production of Digital Terrain Models". The geometric primitives relating to the strata were chosen from the DBT database: vehicular traffic area, secondary mixed road system, rail transport site, embankments, wet area of ​​watercourse, body of water, artificial reservoir, water element , contour lines, quoted points, break lines, slopes. Then the objects were selected, analyzing each single DBT lot, in order to verify the elements to be used and discard any anomalies. The data harmonization activities were carried out in depth for the L050101 "level curves" layer, by selecting the contour lines with an equidistance of 10m and then proceeding with their harmonization along the lot boundaries. At the end of the phase of harmonization and correction of the most obvious cases of anomaly, the TIN model was elaborated and then the DTM 5m of DBT origin was derived, for the areas of the regional territory covered by this type of data. To use the WMS service version 1.3.0 in other viewing software, copy the address from the "on-line resources" field

A bare-earth, hydro-flattened, digital-elevation surface model derived from 2010 Light Detection and Ranging (LiDAR) data. Surface models are raster representations derived by interpolating the LiDAR point data to produce a seamless gridded elevation data set. A Digital Elevation Model (DEM) is a surface model generated from the LiDAR returns that correspond to the ground with all buildings, trees and other above ground features removed. The cell values represent the elevation of the ground relative to sea level. The DEM was generated by interpolating the LiDAR ground points to create a 1 foot resolution seamless surface. Cell values correspond to the ground elevation value (feet) above sea level. A proprietary approach to surface model generation was developed that reduced spurious elevation values in areas where there were no LiDAR returns, primarily beneath buildings and over water. This was combined with a detailed manual QA/QC process, with emphasis on accurate representation of docks and bare-earth within 2000ft of the water bodies surrounding each of the five boroughs.

HiRISE Digital Terrain Models

HiRISE DTMs are digital terrain models created for the surface of Mars. These DTMs are generated using stereo-matching techniques on two satellite images taken from different angles as part of the High-Resolution Imaging Science Experiment (HiRISE) project. This dataset consists of stereo pairs and their respective digital terrain models. More detailed descriptions about the generation of the digital terrain models are included in [1]. This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Diffins/HiRISE-DTMs.

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently

                  being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency

                  Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

Digitální model reliéfu České republiky 5. generace (DMR 5G) představuje zobrazení přirozeného nebo lidskou činností upraveného zemského povrchu v digitálním tvaru ve formě výšek diskrétních bodů v nepravidelné trojúhelníkové síti (TIN) bodů o souřadnicích X,Y,H, kde H reprezentuje nadmořskou výšku ve výškovém referenčním systému Balt po vyrovnání (Bpv) s úplnou střední chybou výšky 0,18 m v odkrytém terénu a 0,3 m v zalesněném terénu. Model vznikl z dat pořízených metodou leteckého laserového skenování výškopisu území České republiky v letech 2009 až 2013. Dokončen byl k 30. 6. 2016 na celém území ČR. DMR 5G je určen k analýzám terénních poměrů lokálního charakteru a rozsahu, např. při projektování pozemkových úprav, plánování a projektování dopravních, vodohospodářských a pozemních staveb, modelování přírodních jevů lokálního charakteru, apod. DMR 5G je základní zdrojovou databází pro tvorbu vrstevnic určených pro mapy velkých měřítek a počítačové vizualizace výškopisu v územně orientovaných informačních systémech vysoké úrovně podrobnosti.

The current dataset is a combination of SRTM 90 and DTED data. The Shuttle Radar Topography Mission (SRTM) obtained elevation data on a near-global scale to generate the most complete high-resolution digital topographic database of Earth. SRTM consisted of a specially modified radar system that flew onboard the Space Shuttle Endeavour during an 11-day mission in February of 2000. SRTM is an international project spearheaded by the National Geospatial-Intelligence Agency (NGA) and the National Aeronautics and Space Administration (NASA). Version 2 of the Shuttle Radar Topography Mission digital topographic data (also known as the "finished" version). was used for generation of this dataset. Version 2 is the result of a substantial editing effort by the National Geospatial Intelligence Agency and exhibits well-defined water bodies and coastlines and the absence of spikes and wells (single pixel errors), although some areas of missing data ('voids') are still present. The Version 2 directory also contains the vector coastline mask derived by NGA during the editing, called the SRTM Water Body Data (SWBD), in ESRI Shapefile format. DTED (or Digital Terrain Elevation Data) was originally developed in the 1970s to support aircraft radar simulation and prediction. DTED supports many applications, including line-of-sight analyses, terrain profiling, 3-D terrain visualization, mission planning/rehearsal, and modeling and simulation. DTED is a standard NGA product that provides medium resolution, quantitative data in a digital format for military system applications that require terrain elevation. The DTED format for level 0, 1 and 2 is described in U.S. Military Specification Digital Terrain Elevation Data (DTED) MIL-PRF-89020B, and amongst others describe the resolution: Level 0 used for geneation of this dataset has a post spacing of 30 arcseconds in latitude direction (ca. 900 meters)

Digital Elevation Model (DEM) dataset current as of 2009. LiDAR acquired and processed over the entire county to support the generation of 1"=100' scale orthophotos & 2' contours. The Lidar LAS data has been classified to bare-earth as well as first-return points..

The Digital Elevation Model (DEM) market is experiencing robust growth, projected to reach $669.8 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.4% from 2025 to 2033. This expansion is fueled by increasing demand across diverse sectors. The Planning & Construction industry leverages DEMs for accurate site analysis, project planning, and infrastructure development. Similarly, the Air Traffic Routes & Navigation sector utilizes DEMs for precise flight path modeling and safety enhancement. Meteorological services rely on DEMs for accurate weather forecasting and climate modeling, significantly improving prediction accuracy. Furthermore, the Geological Exploration industry utilizes DEMs for terrain analysis, aiding in the identification of potential mineral deposits and efficient resource management. The market's segmentation also includes Digital Surface Models (DSMs) and Digital Terrain Models (DTMs), offering tailored solutions for specific applications. The growth trajectory is further bolstered by advancements in data acquisition technologies, such as LiDAR and satellite imagery, improving DEM accuracy and resolution. This, coupled with increasing accessibility to high-performance computing, is streamlining DEM generation and processing, making the technology more readily available and cost-effective for a wider range of users. The market's geographical distribution is diverse, with North America, Europe, and Asia Pacific representing significant market shares. While specific regional breakdowns require further data, the continued technological advancements and expanding applications across industries suggest a positive outlook for the entire forecast period. Key players in the market, including Harris MapMart, National Map, and AltaLIS, are actively innovating and expanding their offerings to cater to the growing demand. The market's future growth hinges on ongoing technological improvements, expanding application domains, and the increasing integration of DEM data into various decision-making processes. Continued government investment in infrastructure projects and initiatives promoting improved mapping and geospatial data utilization will further drive market expansion.

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Lower Neches River Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 11, 15, 17, 18, 19, 21, 23, 25, 27, and 29, 2014 by the U.S. Geological Survey, in cooperation with the National Park Service - Gulf Coast Network. Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point density of 1.4 points per square meter. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).