4 datasets found
  1. TINITALY, a digital elevation model of Italy with a 10 meters cell size,...

    • data.ingv.it
    + more versions
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    data.ingv.it, TINITALY, a digital elevation model of Italy with a 10 meters cell size, version 1.0 - Dataset - [Dataset]. https://data.ingv.it/dataset/185
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    Dataset provided by
    National Institute of Geophysics and Volcanologyhttps://www.ingv.it/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Italy
    Description

    The dataset is a 10 m-resolution DEM in grid format covering the whole Italian territory. The DEM is encoded as “ESRI ASCII Raster” obtained by interpolating the original DEM in Triangular Irregular Network (TIN) format. The TIN version benefited from the systematic application of the DEST algorithm. The projection is UTM, the World Geodetic System 1984 (WGS 84). To provide the dataset as a single seamless DEM, the sole zone 32 N was selected, although about half of Italy belongs to zone 33 N. The database is arranged in 193 square tiles having 50 km side. Data e Risorse Questo dataset non ha dati ambiente terremoti vulcani

  2. C

    Continental Europe Digital Terrain Model

    • portal.opentopography.org
    • wifire-data.sdsc.edu
    • +1more
    raster
    Updated Sep 13, 2022
    + more versions
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    OpenTopography (2022). Continental Europe Digital Terrain Model [Dataset]. http://doi.org/10.5069/G99021ZF
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    rasterAvailable download formats
    Dataset updated
    Sep 13, 2022
    Dataset provided by
    OpenTopography
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 31, 2018
    Area covered
    Variables measured
    Area, Unit, RasterResolution
    Dataset funded by
    The Innovation and Networks Executive Agency
    Description

    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:

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

  3. o

    OpenDemEU high-resolution projected tiles EPSG:3035

    • opendem.info
    Updated Oct 20, 2018
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    OpenDEM (2018). OpenDemEU high-resolution projected tiles EPSG:3035 [Dataset]. https://www.opendem.info/opendemeu_download_highres.html
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    Dataset updated
    Oct 20, 2018
    Dataset authored and provided by
    OpenDEM
    License

    https://www.opendem.info/opendemeu_download_highres.htmlhttps://www.opendem.info/opendemeu_download_highres.html

    Area covered
    Description

    With the Infrastructure for Spatial Information in the European Community (INSPIRE) more and more high resolution digital elevation models under free licenses are published. The theme of elevation is part of the INSPIRE Annex 2. Unfortunately, the data are mostly only provided with national horizontal and vertical reference systems and an easy pan-European utilisation is not possible. The aim of the OpenDen EU project is to derive a pan-European digital terrain dataset with a standardised horizontal- and vertical reference system. Digital surface models are not recognised at this stage. The data is available in a 50*50 km raster as GeoTIFFs. The spatial reference system is the ETRS89 Lambert Azimuthal Equal-Area projection coordinate reference system (EPSG:3035) and vertical datum EVRS2000 (EPSG:5730). Resolutions below 1 m were recalculated to a 1 m DTM with a cubic resampling method to create manageable datasets below 10 GB.

  4. O

    DTM 2017

    • dati.toscana.it
    • staging.dati.toscana.it
    • +2more
    zip
    Updated Mar 15, 2019
    + more versions
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    Comune di Firenze (2019). DTM 2017 [Dataset]. https://dati.toscana.it/dataset/dtm-2017
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    zipAvailable download formats
    Dataset updated
    Mar 15, 2019
    Dataset provided by
    Comune di Firenze
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Digital Terrain Model, Modello digitale del terreno, realizzato mediante elaborazione del rilievo Lidar effettuato in data 29 Marzo 2017.

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data.ingv.it, TINITALY, a digital elevation model of Italy with a 10 meters cell size, version 1.0 - Dataset - [Dataset]. https://data.ingv.it/dataset/185
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TINITALY, a digital elevation model of Italy with a 10 meters cell size, version 1.0 - Dataset -

Explore at:
9 scholarly articles cite this dataset (View in Google Scholar)
Dataset provided by
National Institute of Geophysics and Volcanologyhttps://www.ingv.it/
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Italy
Description

The dataset is a 10 m-resolution DEM in grid format covering the whole Italian territory. The DEM is encoded as “ESRI ASCII Raster” obtained by interpolating the original DEM in Triangular Irregular Network (TIN) format. The TIN version benefited from the systematic application of the DEST algorithm. The projection is UTM, the World Geodetic System 1984 (WGS 84). To provide the dataset as a single seamless DEM, the sole zone 32 N was selected, although about half of Italy belongs to zone 33 N. The database is arranged in 193 square tiles having 50 km side. Data e Risorse Questo dataset non ha dati ambiente terremoti vulcani

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