High Resolution Imaging Science Experiment (HiRISE) digital terrain model (DTM) and orthorectified image of a viscous flow feature incised by a gully in Nereidum Montes, Mars.These data products were produced by Joel Davis at the Natural History Museum, London, and re-projected by Frances Butcher at the University of Sheffield for the purposes of the study presented in:Butcher, F.E.G., Arnold, N.S., Conway, S.J., Berman, D.C., Davis, J.M., and Balme, M.R. 2023, The Internal Structure of a Debris-Covered Glacier on Mars Revealed by Gully Incision, Icarus, https://doi.org/10.1016/j.icarus.2023.115717Please read the following information carefully.Data SetsThe following files are present in .tif format. These are geotiffs and have geospatial metadata: 1 m/pixel DTM: ‘NWArgyre_1_AATE_1m_Sinusoidal.tif’ 1 m/pixel FOM (Figure of Merit - see Readme.txt): ‘FOM_NWArgyre_1_AATE_1m_Sinusoidal.tif’ 25 cm/pixel orthoimage: ‘ESP_051036_1370_25o_Sinusoidal.tif’ Readme.txt: Contains further information, including an explanation of the values in the Figure of MeritThe DTM was generated using BAE Systems SOCET SET software, with the following HiRISE images as input: ESP_051036_1370: https://www.uahirise.org/ESP_051036_1370 ESP_015947_1370: https://www.uahirise.org/ESP_015947_1370The orthoimage was generated by orthorectifying HiRISE image ESP_051036_1370 using the DTM.The DTM, FOM, and orthoimage were re-projected in ESRI ArcGIS 10.7 to minimise the effects of distortion upon the measurements and modelling results presented in Butcher et al. (2023). The sinusoidal projection used has a central meridian of 308.75°E, and is based on the IAU spherical datum for Mars (radius 3396190 m).The data are not georeferenced to any other dataset in this release. Therefore care should be taken in the first instance, with georeferencing as required. The overall quality of the DTM is good, but noise levels vary – check the FOM (see below) and create a shaded relief map to ensure the DTM is adequate for your required use.We note that since we generated the DTM and orthoimage, the HiRISE team also released a DTM generated from the same images, including additional colour orthorectified images (which are used in Butcher et al. 2023). These independently-generated data can be found at: https://www.uahirise.org/dtm/ESP_015947_1370DTM Vertical PrecisionThe vertical precision of the DTM was estimated by Butcher et al. (2023) to be 0.2 m (based on a stereo convergence angle between input images of 14.8°, and assuming an RMS pixel matching error of 0.2 pixels) following the approach of:- Kirk, R. L., et al. (2008), Ultrahigh resolution topographic mapping of Mars with MRO HiRISE stereo images: Meter-scale slopes of candidate Phoenix landing sites, J. Geophys. Res., 113, E00A24, doi:10.1029/2007JE003000.Figure of Merit (FOM) explanationPlease see 'Readme.txt' for an explanation of values in the Figure of Merit.CreditIf using the data products included herein, please cite: Butcher et al. (2023) HiRISE images should be credited "Image: NASA/JPL-Caltech/University of Arizona"

The composite Digital Terrain Model of the Bulgarian Black Sea South Shore is the result of the processing of a compilation of single and multibeam echosounder data gathered by Institute of Oceanology – BAS, Varna, bathymetric LiDAR data, data from harbor authorities and of digitized chart contours produced before 1998. The DTM at a source resolution of approximately 54 meters was compiled for inclusion into the EMODnet hydrography dataset.

A bathymetry model of the Bay of Plenty (New Zealand) region in 25 m grid resolution. Bathymetry is compiled from multibeam and single-beam data sourced from surveys from NIWA and Land Information New Zealand (LINZ), as well as international surveys by vessels from United States of America and Germany.This is 25m Bay of Plenty Digital Terrain Model Raster File for download (ca 200 MB). You can download this file and use it in further analyses or for mapping.Alternatively, you can avoid the download if you prefer to stream the DTM as a web service from this URL https://niwa.maps.arcgis.com/home/item.html?id=3a1d7ee29dac42e3ba6ec4efeeafbacf using an ArcGIS Client application such as ArcGIS Pro, ArcGIS Maps for Office, a Web map viewer (browser) or Survey123, FieldMaps etc.This raster has been used for the production of:Lamarche, G., Guntz, M., Mackay, K., Pallentin, A., and Mackay, E., 2018. Bay of Plenty. NIWA Miscellaneous Chart Series 109._Item Page Created: 2022-07-25 04:00 Item Page Last Modified: 2025-03-01 19:23Owner: NIWA_OpenData

DTM compiled for inclusion into the EMODnet hydrography dataset. Original data was received from Netherlands Hydrographic Service at a source resolution of approximately 125 meters. An area north of the northern deep water routes on the Dutch continental shelf was not part of the source data. To fill in this area soundings taken from nautical charts were combined with the source data. The resulting data set was then interpolated using the ATLIS SENS software suite. The source data is extracted from the RBB database of the Hydrographic office. The RBB holds data that is the actual reflection of water depth of the Dutch waters at a resolution higher than 125 meter. Please contact the hydrographic office for more details.

This Digital Terrain Model (DTM) for Continental Europe was derived using Ensemble Machine Learning (EML) with publicly available Digital Surface Models. EML was trained using GEDI level 2B points (Level 2A; "elev_lowestmode") and ICESat-2 (ATL08; "h_te_mean"). About 9 million points were overlaid vs MERITDEM, AW3D30, GLO-30, EU DEM, GLAD canopy height, tree cover and surface water cover maps. An ensemble prediction model (mlr package in R) was fitted using random forest, Cubist and GLM, and used to predict the most probable terrain height (bare earth).

The predicted elevations are based on the GEDI data hence the reference water surface (WGS84 ellipsoid) is about 43 m higher than the sea water surface for a specific EU country. Before modeling, reference elevations were corrected to the Earth Gravitational Model 2008 (EGM2008) by using the 5-arcdegree resolution correction surface (Pavlis et al, 2012).

Details on the work to create this dataset can be found here:

• Hengl, Tomislav, Leal Parente, Leandro, Krizan, Josip, and Bonannella, Carmelo. 2020. "Continental Europe Digital Terrain Model at 30 M Resolution Based on GEDI, Icesat-2, AW3D, GLO-30, EUDEM, MERIT DEM and Background Layers." Zenodo. https://doi.org/10.5281/zenodo.4724549.
• European Digital Terrain Models (EU DTM)

NOTE:This dataset has been converted from its original units of decimeters to meters to aid comparisons with other datasets in the OpenTopography catalog.

This layer 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.

Case number 31105748. Plot 3 Coast 2017 - DTM 5 meter grid file of laser data per Top10 map sheet - Westerschelde. The data was obtained by laser altimetry. The collection takes place for several years in order to maintain the baseline of the entire Dutch Coast.

Digital Terrain Model (bare earth) of parts of Maui and Molokai. Partial coverage Vexcel, Inc. LIDAR of Maui and Molokai were purchased by County of Maui to assist with three-dimensional modeling of structures in areas of higher development. 1'/px, LIDAR-derived, bare earth DEM/elevation raster of parts of Maui and Molokai – specifically, Central Molokai, Kahului, Kihei, Lahaina and Pukalani. XY units: feet, Z units: meters. Use Limitations: 1.Disclaimer - This dataset is being placed in the public domain. Any use is allowed except for re-sale. Neither Vexcel, Inc., the County of Maui, nor the State of Hawaii make any guarantees, expressed or implied, regarding its accuracy or fitness of use. Users should verify XYZ values through a licensed surveyor for any engineering application. This data should only be used as a guide, vs. a statement of fact regarding real-world conditions. 2.Vertical Datum - The originator of this LIDAR dataset, Vexcel Inc. of Boulder, Colorado referenced Z values to the North American Vertical Datum of 1988 (NAVD88). NAVD88 is not recognized as a valid vertical reference for the state of Hawaii. Currently Hawaii has no official (de jure or de facto) vertical datum, and NOAA's National Geodetic Survey (NGS) recommends that elevations be referenced to the nearest NOAA tidal gauge. A legacy LIDAR dataset produced in 2013 by the United States Army Corps of Engineers (USACE) used NAD83(PA11) as its vertical reference. In theory this approach should result in better accuracy for the Z dimension as PA11 is a Pacific plate-centric datum. In comparing flat areas containing neither structures or vegetation, it was found that the Vexcel values sit approximately 4 feet above the USACE dataset. The vertical datum issue was brought to the attention of Vexcel, Inc. Vexcel used the 2013 USACE LIDAR as vertical control to correct their LIDAR data. The (corrected) .las data is shared as it was delivered. As stated above, the use of this data transfers all risks and assumption of responsibility to the user. For more information see https://files.hawaii.gov/dbedt/op/gis/data/Maui_2019_DTM.html or contact County of Maui at GISMonitor@co.maui.hi.us or Hawaii Statewide GIS Program at gis@hawaii.gov.

Case number 31105748. Plot 3 Coast 2017 - DTM 2 meter grid file of laser data per Top10 map sheet - Wadden Sea. The data was obtained by laser altimetry. The collection takes place for several years in order to maintain the baseline of the entire Dutch Coast.

Dataset Summary:This 3-foot resolution Digital Terrain Model (DTM) depicts topography, while removing all above-ground objects on the earth’s surface, like trees and buildings. The DTM represents the state of the landscape when countywide LiDAR data was collected in 2018 and 2020. Figure 1 shows the vintages of LiDAR contained in this raster. Quality level 1 LiDAR (QL1, red areas in figure 1) was collected in 2018. Quality level 2 LiDAR (QL2) was collected in summer, 2020.Figure 1. Recent LiDAR collections, by Quality Level (QL) in Santa Cruz County Methods:This LiDAR derivative provides information about the bare surface of the earth. The 3-foot resolution raster was produced from 2018 Quality Level 2 and 2020 Quality Level 1 LiDAR point cloud data (already ground classified) using Lastools. The processing steps were as followsCreate Tiles (lastile)Create DTM from ground classified points (las2dem)N Note that this DTM is neither hydro-flattened nor hydro-enforced.Uses and Limitations:The DTM provides a raster depiction of the ground returns for each 3x3 foot raster cell across Santa Cruz County. The layer is useful for hydrologic and terrain-focused analysis. The DTM will be most accurate in open terrain and less accurate in areas of very dense vegetation.Related Datasets:This dataset is part of a suite of LiDAR of derivatives for Santa Cruz County. See table 1 for a list of all the derivatives.Table 1. LiDAR derivatives for Santa Cruz CountyDatasetDescriptionLink to DatasheetLink to DataCanopy Height ModelThis depicts Santa Cruz County’s woody canopy as a Digital Elevation Model.https://vegmap.press/sc_chm_datasheethttps://vegmap.press/sc_chmNormalized Digital Surface ModelThis depicts the height above ground of objects on the earth’s surface, like trees and buildings.https://vegmap.press/sc_ndsm_datasheethttps://vegmap.press/sc_ndsmDigital Surface ModelThis depicts the elevation above sea level atop of objects on the earth’s surface.https://vegmap.press/sc_dsm_datasheethttps://vegmap.press/sc_dsm HillshadeThis depicts shaded relief based on the Digital Terrain Model. Hillshades are useful for visual reference when mapping features such as roads and drainages and for visualizing physical geography. https://vegmap.press/sc_hillshade_datasheethttps://vegmap.press/sc_hillshadeDigital Terrain ModelThis depicts topography, while removing all above-ground objects on the earth’s surface, like trees and buildings.https://vegmap.press/sc_dtm_datasheethttps://vegmap.press/sc_dtm

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

Case number 31105748. Plot 3 Coast 2016 — DTM 2 meter grid file of laser data per Top10 map sheet — Coast North and South Holland, Hoek from Holland to Huisduinen. The data is obtained by laser altimetry. The collection takes place on a multiannual basis in order to maintain the base coastline of the entire Dutch Coast.

The Digital Terrain Model of the Bay of Biscaye and of the Channel is the result of the processing of a compilation of single and multibeam echosounder data, of DTMs and of chart countours produced before 2008 for hydrodynamic modeling..

Case number 31105748. Plot 3 Coast 2016 - DTM 2 meter grid file of laser data per Top10 map sheet - Wadden Sea. The data was obtained by laser altimetry. The collection takes place for several years in order to maintain the baseline of the entire Dutch Coast.

Náttúrufræðistofnun hafa unnið nýtt landhæðarlíkan af Íslandi. Um uppfærslu á eldra líkani er að ræða þar sem nýleg gögn af ólíkum uppruna þekja um 39.100 km2 eða um 38% landsins. Stærsta samfellda uppfærslan nær frá Suðurlandi til norðausturs, austur fyrir Egilsstaðir.Hæðarlíkanið hefur 10 x 10 m myndeiningar. Helsu nýleg gögn eru (sjá staðsetningu á meðfylgjandi smámynd hér fyrir neðan): 1) IPY-Lidargögn fyrir jökla landsins frá árunum 2007-2012, 15144 km2, LE90: 2,65 m. 2) Gögn úr 5-m-hæðarlínum, 10736 km2, LE90: 3,9 m. 3) Emisar radargögn, 4536 km2, LE90: 3,2 m. 4) Gögn úr 10-m-hæðarlínum, 2938 km2, LE90: 8,48 m, 5) SwedeSurvey photogrammetry gögn, 1433 km2, LE90: 2,60 m, 6) Gögn úr mælikvarða 1:25.000, 1152 km2, LE90: 3,8 m, 7) Bresk lidargögn (Dr. Susan Conway, Open University), 532 km2, LE90: 0,96-4,63 m. Líkaninu fylgir hæðarskygging, þ.e. upphleypt mynd af landinu en slíkar myndir eru gjarnan notaðar sem undirlag til að draga fram eða leggja áherslu á landslag. The Institute of Nature Research has made a new DTM of Iceland. The DTM is an upgrade of an earlier DTM where recent data, that vary in origin, cover 39.100 km2 or some 38% of the country. The DEM has pixel resolution of 10 x 10 m with. The main recent data are (see location on figure below): 1) IPY-lidar data for the glaciers of Iceland (surveyed in the years 2007 to 2012), 15144 km2, LE90: 2,65 m. 2) Data from 5-m-contour lines, 10736 km2, LE90: 3,9 m. 3) Emisar radar data, 4536 km2, LE90: 3,2 m. 4) Data from 10-m-contour lines, 2938 km2, LE90: 8,48 m, 5) SwedeSurvey photogrammetic data, 1433 km2, LE90: 2,60 m, 6) 1:25.000 contour data, 1152 km2, LE90: 3,8 m, 7) British lidar data (courtesy of Dr. Susan Conway, Open University), 532 km2, LE90: 0,96-4.63 m.The DTM is accompanied by a hillshade or a relief image of Iceland. Hillshade images are commonly used as a layer beneath maps or data to emphasize landscape.

Zadeva št. 31105748. Plot 3 Coast 2016 - DTM 2-metrska mrežna datoteka laserskih podatkov na list zemljevida Top10 - Oosterschelde. Podatki so bili pridobljeni z lasersko altimetrijo. Zbiranje poteka več let, da se ohrani osnovna črta celotne nizozemske obale.