2026-06-10T01:24:37Z https://oai.datacite.org/oai

doi:10.13127/tinitaly/1.1 2025-04-09T08:55:21Z WNGN CRUI.INGV

7 CRUI.INGV 10.13127/TINITALY/1.1 Tarquini, Simone Simone Tarquini https://orcid.org/0000-0002-8064-621X Istituto Nazionale di Geofisica e Vulcanologia (INGV) Isola, Ilaria Ilaria Isola https://orcid.org/0000-0002-3911-4676 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Favalli, Massimiliano Massimiliano Favalli https://orcid.org/0000-0002-7338-6069 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Battistini, Alessandro Alessandro Battistini https://orcid.org/0000-0002-6444-188X Dotta, Giulia Giulia Dotta https://orcid.org/0000-0002-8701-7053 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2023 elevation model of Italy digital elevation model topography Italy DEM shaded relief map slope map sky view factor map openness down map Hue-Saturation-Value composition image RRIM style map Tarquini, Simone Simone Tarquini https://orcid.org/0000-0002-8064-621X Istituto Nazionale di Geofisica e Vulcanologia (INGV) Isola, Ilaria Ilaria Isola https://orcid.org/0000-0002-3911-4676 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Favalli, Massimiliano Massimiliano Favalli https://orcid.org/0000-0002-7338-6069 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Pareschi, Maria Teresa Maria Teresa Pareschi Mazzarini, Francesco Francesco Mazzarini https://orcid.org/0000-0002-3864-6558 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Bisson, Marina Marina Bisson https://orcid.org/0000-0002-7104-9210 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Fornaciai, Alessandro Alessandro Fornaciai https://orcid.org/0000-0003-4829-4928 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Vinci, Stefano Stefano Vinci Doumaz, Fawzi Fawzi Doumaz https://orcid.org/0000-0002-9554-9121 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Boschi, Enzo Enzo Boschi https://orcid.org/0000-0003-0527-9664 Dotta, Giulia Giulia Dotta https://orcid.org/0000-0002-8701-7053 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Istituto Nazionale Di Geofisica E Vulcanologia (INGV) https://ror.org/00qps9a02 2022 2023 en 10.13127/tinitaly/1.0 10.4401/ag-4424 10.1016/j.cageo.2011.04.018 10.1016/j.geomorph.2016.12.022 https://data.ingv.it/metadata/iso19115/10.13127/tinitaly/1.1.xml about 3000 M grid cells in total about 50 GB of disk memory DEM: about 17 GB of disk memory shaded relief map: about 4.2 GB of disk memory slope map: about 4.3 GB of disk memory sky view factor (2.5 σ) map: about 4.3 GB of disk memory sky view factor (equal area) map: about 4.3 GB of disk memory openness down map: about 4.3 GB of disk memory Hue-Saturation-Value composition image: about 12.7 GB of disk memory application/zip image/tiff 1.1 Open Access Creative Commons Attribution 4.0 International The dataset is a 10 m-resolution DEM in grid format covering the whole Italian territory. The DEM is 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 approximately 50 km side. In addition to the DEM (TINItaly_DEM), the OGC links supply the following DEM-derived products: (i) shaded relief map (TINItaly_Hillshade); (ii) slope map (TINItaly_Slope); (iii) Sky view Factor (SVF) map using 2.5σ clipping as technique for image enhancement (TINItaly_SVF_2d5); (iv) SVF map using equal area equalization as technique for image enhancement (TINItaly_SVF_EA); (v) openness down map using equal area equalization as technique for image enhancement (TINItaly_OD); and (vi) Hue-Saturation-Value (HSV) composition image with slope (2.5σ clipping) as saturation and SVF (2.5σ clipping) as value, according to RRIM (Red Relief Image Maps) style maps (TINItaly_HSV); (vii) slope map using 2.5σ clipping as technique for image enhancement (TINItaly_Slope_2d5). For more information about the generation of the DEM-derived products refer to Favalli and Fornaciai (2017) - https://doi.org/10.1016/j.geomorph.2017.02.029. Il dato è un DEM a passo 10 m che copre l'intero territorio italiano. Il DEM è ottenuto interpolando il DEM originale in formato "Triangular Irregular Network" (TIN). La versione TIN del DEM era stata ottenuta applicando sistematicamente l'algoritmo DEST. La proiezione è UTM, World Geodetic System 1984 (WGS 84). Per fornire il dato come un unico DEM continuo, si è scelto di utilizzare solo la zona 32 N, sebbene circa metà dell'Italia ricada naturalmente nella zona 33 N. Il dato è organizzato in 193 tavole aventi mediamente 50 km di lato. In aggiunta al DEM (TINItaly_DEM), i links OGC forniscono i seguenti prodotti derivanti dal DEM: (i) mappa con rilievo ombreggiato (TINItaly_Hillshade); (ii) mappa delle pendenze (TINItaly_Slope); (iii) mappa dello Sky view Factor (SVF) utilizzando il 2.5σ clipping come tecnica di potenziamento dell’immagine (TINItaly_SVF_2d5); (iv) mappa dello SVF utilizzando l’equal area equalization come tecnica di potenziamento dell’immagine (TINItaly_SVF_EA); (v) mappa dell’openness down utilizzando l’equal area equalization come tecnica di potenziamento dell’immagine (TINItaly_OD); (vi) immagine con composizione HSV, cioè tonalità (H), saturazione (S) e valore (V), con la pendenza (2.5σ clipping) come saturazione e SVF (2.5σ clipping) come valore in accordo con lo stile RRIM (Red Relief Image Maps) (TINItaly_HSV); ed infine (vii) mappa delle pendenze utilizzando il 2.5σ clipping come tecnica di potenziamento dell’immagine (TINItaly_Slope_2d5). Per maggiori informazioni riguardo alla generazione dei prodotti si faccia riferimento a Favalli and Fornaciai (2017) - https://doi.org/10.1016/j.geomorph.2017.02.029. A seamless digital elevation model (DEM) of the whole Italian territory, originally named TINITALY/01 (also known as the "TINITALY" DEM, in short), was presented in 2007 (Tarquini et al., 2007). This DEM was obtained from heterogeneous vector datasets, mostly consisting in elevation contour lines and elevation points from several sources. The input vector database was carefully cleaned up to obtain a seamless TIN derived by using the DEST algorithm, which enhances the TIN mesh with respect to the standard Delaunay triangulation. The whole TINITALY/01 DEM was converted in grid format (10-m cell size) according to a tiled structure composed of 193 elements. See references for additional details. In January 2023, a new version of the TINITALY DEM is released, named TINITALY/1.1. In this version several inaccuracies of the former DEM are corrected. Along with the upgraded DEM, a suite of DEM-derived products are now available as WMS, WMTS and WCS services: (i) shaded relief map; (ii) slope map; (iii) Sky view Factor (SVF) map using 2.5σ clipping as technique for image enhancement; (iv) SVF map using equal area equalization as technique for image enhancement; (v) openness down map using equal area equalization as technique for image enhancement; (vi) Hue-Saturation-Value (HSV) composition image with slope (2.5σ clipping) as saturation and SVF (2.5σ clipping) as value, according to RRIM (Red Relief Image Maps) style maps; and (vii) slope map using 2.5σ clipping as technique for image enhancement. For more information about the generation of the DEM-derived products refer to Favalli and Fornaciai (2017) - https://doi.org/10.1016/j.geomorph.2017.02.029. DEM data are arranged for download in 193 zipped files and the grid is encoded as “ESRI ASCII Raster” UTM 32N WGS84. The DEM and DEM-derived products are provided by means of the following OGC web services: WMS (Web Map Service), WMTS (Web Map Tile Service) and WCS (Web Coverage Service). Italy Italy 6.74996 18.4802 36.62 47.1154