Elevation data

Questo dataset fornisce un modello digitale del terreno ad alta risoluzione e senza soluzione di continuità del territorio italiano, con una risoluzione spaziale di 5 m (HR-DTM-5m). Il modello è stato generato integrando modelli digitali del terreno (DTM) eterogenei derivati ​​da LiDAR aereo, disponibili con una risoluzione di 1-2 m su ampie porzioni d'Italia, ma spazialmente frammentate, con il modello digitale del terreno nazionale TINITALY 1.1 a 10 m di risoluzione, utilizzato come unica fonte di elevazione nelle aree non coperte da dati LiDAR. Il dataset è stato prodotto attraverso un flusso di lavoro strutturato e completamente riproducibile, che include l'armonizzazione dei dati, la creazione di mosaici regionali di dataset LiDAR omogenei, il ricampionamento su una griglia comune e la fusione sistematica di sorgenti di elevazione adiacenti e parzialmente sovrapposte. Prima della fusione, sono stati corretti gli offset verticali sistematici tra i DTM derivati ​​da LiDAR e TINITALY per garantire un riferimento verticale coerente. Sono state quindi applicate zone di transizione graduali per ridurre al minimo le discontinuità di elevazione e garantire la continuità spaziale attraverso i confini dei dataset. Il modello digitale di superficie HR-DTM-5m privilegia il realismo morfologico e la continuità topografica rispetto alla rigorosa ottimizzazione della precisione altimetrica puntuale. Questa scelta progettuale riflette l'utilizzo previsto del dataset per applicazioni geomorfologiche e idrologiche, tra cui la modellazione delle inondazioni, l'analisi della suscettibilità alle frane e lo studio dei processi superficiali rapidi su scala regionale e nazionale. Il dataset fornisce una copertura nazionale completa su una singola griglia di 5 metri, preservando l'elevato livello di dettaglio dei dati LiDAR laddove disponibili, e basandosi sul modello TINITALY ricampionato nelle aree prive di copertura LiDAR. È concepito come un prodotto operativo ed estensibile, che consente l'integrazione di nuove acquisizioni LiDAR senza dover ricalcolare l'intero modello nazionale.

The Sentinel-1 mission is a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging. The Sentinel-1 Radiometrically Terrain Corrected (RTC) data in this collection is a radiometrically terrain corrected product derived from the Ground Range Detected (GRD) Level-1 products produced by the European Space Agency. The RTC processing is performed by Catalyst. Radiometric Terrain Correction accounts for terrain variations that affect both the position of a given point on the Earth's surface and the brightness of the radar return, as expressed in radar geometry. Without treatment, the hill-slope modulations of the radiometry threaten to overwhelm weaker thematic land cover-induced backscatter differences. Additionally, comparison of backscatter from multiple satellites, modes, or tracks loses meaning. A Planetary Computer account is required to retrieve SAS tokens to read the RTC data. See the documentation for more information. ### Methodology The Sentinel-1 GRD product is converted to calibrated intensity using the conversion algorithm described in the ESA technical note ESA-EOPG-CSCOP-TN-0002, Radiometric Calibration of S-1 Level-1 Products Generated by the S-1 IPF. The flat earth calibration values for gamma correction (i.e. perpendicular to the radar line of sight) are extracted from the GRD metadata. The calibration coefficients are applied as a two-dimensional correction in range (by sample number) and azimuth (by time). All available polarizations are calibrated and written as separate layers of a single file. The calibrated SAR output is reprojected to nominal map orientation with north at the top and west to the left. The data is then radiometrically terrain corrected using PlanetDEM as the elevation source. The correction algorithm is nominally based upon D. Small, “Flattening Gamma: Radiometric Terrain Correction for SAR Imagery”, IEEE Transactions on Geoscience and Remote Sensing, Vol 49, No 8., August 2011, pp 3081-3093. For each image scan line, the digital elevation model is interpolated to determine the elevation corresponding to the position associated with the known near slant range distance and arc length for each input pixel. The elevations at the four corners of each pixel are estimated using bilinear resampling. The four elevations are divided into two triangular facets and reprojected onto the plane perpendicular to the radar line of sight to provide an estimate of the area illuminated by the radar for each earth flattened pixel. The uncalibrated sum at each earth flattened pixel is normalized by dividing by the flat earth surface area. The adjustment for gamma intensity is given by dividing the normalized result by the cosine of the incident angle. Pixels which are not illuminated by the radar due to the viewing geometry are flagged as shadow. Calibrated data is then orthorectified to the appropriate UTM projection. The orthorectified output maintains the original sample sizes (in range and azimuth) and was not shifted to any specific grid. RTC data is processed only for the Interferometric Wide Swath (IW) mode, which is the main acquisition mode over land and satisfies the majority of service requirements.

The GEBCO grid is a global terrain model for ocean and land, providing elevation in metres on a 15 arc-second interval grid. It is maintained by the General Bathymetric Chart of the Oceans under the International Hydrographic Organization and UNESCO's Intergovernmental Oceanographic Commission.

Datasættet repræsenterer skyggeeffekten af den danske højdemodel fra 2007 (DK-DHM/Terræn 2007). DHM/terræn er en digital model af terrænets højde sammenlignet med det gennemsnitlige havniveau, dvs. terrænets kote (DVR90). Modellen er gemt i et gitter (raster) med en cellestørrelse, der oprindeligt var 0,4 m, men som for dette datasæt er nedskaleret til 10 m. Datagrundlaget for modellen er baseret på laserscanninger fra fly (Lidar) indsamlet i perioden 2005-2007, og som har gennemgået omfattende beregninger og kvalitetssikringsprocedurer. Kortkartografi og styling udarbejdet af Christian Brogaard Pedersen (cbp@geus.dk). Copyright: Styrelsen for Dataforsyning og Infrastruktur (SDFI). The data set represents the shadowing of the Danish altitude model from 2007 (DK-DHM/Terrain 2007). DHM/terrain is a digital model of the height of the terrain compared to the average sea level, i.e.. the elevation of the terrain (DVR90). The model is stored in a grid (raster) with a cell size originally 0.4 m, but which for this data set is down -sampled to 10 m. The data base for the model is based on laser scans from aircraft (Lidar) collected in the period 2005 - 2007 and which has undergone extensive calculations and quality assurance procedures. Map cartography and styling compiled by Christian Brogaard Pedersen (cbp@geus.dk). Copyright: The Danish Agency for Data Supply and Infrastructure (SDFI).

Det sammenhængende højde- og dybdekort blev udarbejdet omkring 1997, hvor de danske områder blev opdateret i 2005-2006. Det er opbygget af 5 m kurver og er også tilgængeligt som polygoner.  Kortet er kontinuerligt på tværs af grænsen mellem land og hav. Kortet har et polygonlag med datakilder, der viser, hvor dataene for de forskellige områder kommer fra, og hvilken skala de er lavet i.  Kortet er lavet til visning i en skala på 1:500.000. Højde- og dybdekortet er opbygget af to forskellige datasæt: Højdemodel (gitter) med højdekurver (form). Højdemodellen er et 40 cm gitter fra 2014-2015, lavet som en mosaik i 2015. Batymetrimodel (gitter) med dybdekurver (form). Dybdekurverne er med 5 m intervaller fra 2006, som det overordnede kort er lavet ud fra, og som også er tilgængelige som polygoner. Batymetridata blev downloadet fra EMODNET i 2016 og er i øjeblikket det bedste dybdegitter. De danske data kommer fra GST. Gitteret er oprindeligt i længdegrad/breddegrad, men er blevet reprojekteret til ETRS 1989 / UTM zone 32. Den oprindelige cellestørrelse er 0,002 grader, dvs. ca. 126 m bredt og 230 m højt. Det reprojekterede gitter er lavet i 125 m celler ved hjælp af en bilineær interpolation. Farvandsväsnets havdybder over det danske område fra 2005 er også tilgængelige som et 100 m gitter på geocenterserveren. Bemærk venligst, at dette gitter er blevet flyttet ca. 120 m mod nordøst.

Elevation Points - Section I, last updated in 2026. Part of A through R, divided by concession blocks across the municipal extents.  Often used for 3D modelling.  UTM Co-ordinates, with height Z-values in Metres.

Der nationale Gewässerbewirtschaftungsplan (NGP) ist eine durch den Bundesminister für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft erlassene Verordnung auf der Grundlage des Wasserrechtsgesetztes 1959. Alle 6 Jahre hat eine umfassende Zustandserfassung aller Gewässer bestimmter Größenordnung zu erfolgen. Ausgangsbasis zur Erstellung des Zustandes von Gewässerabschnitten ist die Aufnahme der Belastungsdaten an Gewässern. Dazu gehören morphologische Erhebungen, Erfassung der Querbauwerke, Restwasserstrecken, Schwallstrecken und Staustrecken. Die Belastungsdaten werden als Eventdatensatz auf dem jeweilig aktuellen Gewässernetz erhoben. Link zu den Metadaten (Update: 16.10.2026 10:55Uhr)

This Collection provides Copernicus DEM COG products, which represent the surface of the Earth including buildings, infrastructure and vegetation, in resolution of 90 meters.

This Collection provides Copernicus DEM COG products, which represent the surface of the Earth including buildings, infrastructure and vegetation, in resolution of 30 meters.

Elevation Points - Section D, last updated in 2026.  Part of A through R, divided by concession blocks across the municipal extents.  Often used in 3D modelling.  UTM Co-ordinates, with height Z-values in Metres.

Mise à jour : hebdomadaire Dernière mise à jour : 21 Mai 2026 Création de la base : 1994 / Révision de la base : 2007   Source des données : Géorisques Le jeu de données présente les zones sur territoire français exposées aux mouvements de terrain. Les mouvements de terrain recouvrent des formes très diverses. Selon la vitesse de déplacement, deux ensembles de mouvements de terrain peuvent être distingués : les mouvements lents, qui entraînent une déformation progressive des terrains, pas toujours perceptible par l’humain. Ils regroupent principalement les affaissements, les tassements, les glissements, le retrait-gonflement ; les mouvements rapides, qui surviennent de manière brutale et soudaine. Ils regroupent les effondrements, les chutes de pierres et de blocs, les éboulements et les coulées boueuses. Les mouvements de terrain sont les manifestations du déplacement gravitaire de masses de terrain déstabilisées sous l'effet de sollicitations naturelles (fonte des neiges, pluviométrie anormalement forte, séisme, etc) ou anthropiques (terrassement, vibration, déboisement, exploitation de matériaux ou de nappes aquifères, etc.). Les données sources sont fournies en format CSV par Géorisques, une collaboration entre le Ministère de la Transition écologique et de la Cohésion des territoires et le Bureau de Recherches Géologiques et Minières (BRGM). Depuis 1994, le BRGM inventorie tous les événements mouvements de terrain de France. La base Mouvement de Terrain (BDMvt) mémorise de façon homogène, l'ensemble des informations disponibles en France, sur des situations récentes et sur des événements passés, et permet le porté à connaissance des phénomènes. Les données CSV ont été adaptées par Esri France. Elles sont projetées en Web Mercator et couvrent la France métropolitaine et les DROM. Des métadonnées et une documentation sont disponibles sur le site web. Il convient de noter que certaines localisations et dates incohérentes, sont déjà présentes dans les données sources non modifiées. Cette couche d’entités est offerte par l’équipe GéoData d’Esri France. Les données sont optimisées pour l’usage dans la plateforme ArcGIS. Plus d’information sur les offres sur esrifrance.fr/contenus. Contactez-nous avec des questions ou des commentaires via livingatlas@esrifrance.fr.

Overview This service provides elevation data from an 2018 to 2019 LiDAR project as a tiled mosaic dataset with one 32 bit floating point band at 1 meter cell size. It covers an area in British Columbia and is delivered with LERC compression for efficient access in 3D workflows. The service supports surface elevation use in 3D applications and provides access to raster catalog content through Image, Catalog, Mensuration, and Metadata capabilities. Band Characteristics The raster contains one band named Band 1. Number of bands: 1 Pixel type: 32 bit floating point Band values: minimum 340.84, mean 1142.65, maximum 2172.12, standard deviation 446.64 Raster Properties Pixel size: 1 by 1 meter Dataset format: AMD Default resampling: Bilinear Compression: None Tile cache: Pre cached elevation cache with 256 by 256 tiles in LERC format Levels of detail: 19 levels from scale 591657527.59 to 2256.99 Histogram range: 340.84 to 2172.12 The service allows raster functions for surface visualization and terrain analysis, including hillshade from multiple azimuths, shaded relief, contour generation at 2 meter, 20 meter, and 100 meter intervals, slope, and classification templates. Mosaic Properties This service is a mosaic dataset that combines elevation source tiles on the fly. Users can query the catalog, view item metadata, and work with mosaic methods such as NorthWest, Center, LockRaster, ByAttribute, Nadir, Viewpoint, Seamline, and None. The catalog can return up to 1000 records per query, with support for statistics, ordering, pagination, and distinct queries. Available item fields include image name, category, product name, grouping fields, center position, z order, and footprint attributes. The category domain includes values such as Primary, Overview, Unprocessed Overview, Partial Overview, Inactive, Uploaded, Incomplete, and Custom. Geographic Coverage The service covers Regional District of Central Okanagan in British Columbia and uses the Web Mercator spatial reference. Extent:X min: -120.1042 Y min: 49.6333 X max: -118.7617 Y max: 50.2819 Spatial reference: Web Mercator (102100) Use Cases The service supports elevation visualization, terrain measurement, surface analysis, and 3D scene integration. It allows  analysis, and it is suited to users who need detailed LiDAR-derived elevation source data from the OBWB and GeoBC.

COS Benchbook for public access. The point information contained was mapped by the City of Springfield through differential leveling methods. This elevation data was collected at various times in the past several decades, and was recently verified for accuracy in the Summer of 2010. To verify accuracy, the existing differential leveled data was shot with GPS and benchmarks found to be errant were re-leveled by differential methods. These data are intended for use in engineering and citywide planning. There are no warranties that accompany this product.

Accurately surveyed coordinate location used to maintain survey control during acquistion of various products for Kentucky's Aerial Photography and Elevation Data programhttps://ky.box.com/v/kymartian-gcp-phase3

U.S.-wide digital elevation data at horizontal resolutions ranging from one to sixty meters. The USGS 3D Elevation Program (3DEP) Datasets from the National Map are the primary elevation data product produced and distributed by the USGS. The 3DEP program provides raster elevation data for the conterminous United States, Alaska, Hawaii, and the island territories, at a variety of spatial resolutions. The seamless DEM layers produced by the 3DEP program are updated frequently to integrate newly available, improved elevation source data. DEM layers are available nationally at grid spacings of 1 arc-second (approximately 30 meters) for the conterminous United States, and at approximately 1, 3, and 9 meters for parts of the United States. Most seamless DEM data for Alaska is available at a resolution of approximately 60 meters, where only lower resolution source data exist.

Data represents the Shuttle Radar Topography Mission (SRTM) 30 metres image for Kenya.These SRTM was created through mosaicking tiles and clippingto the extent of the country

Digital Elevation Model (DEM) of Algeria, The NASA Shuttle Radar Topographic Mission (SRTM). Resolution: 250 m. Source: USGS/NASA-SRTM

Digital Elevation Model (DEM) of Gulf Countries, The NASA Shuttle Radar Topographic Mission (SRTM). Resolution: 250 m. Source: USGS/NASA-SRTM

Digital Elevation Model (DEM) of Tunisia, The NASA Shuttle Radar Topographic Mission (SRTM). Resolution: 250 m. Source: USGS/NASA-SRTM

Digital Elevation Model (DEM) of Morocco, The NASA Shuttle Radar Topographic Mission (SRTM). Resolution: 250 m. Source: USGS/NASA-SRTM

Land area in km² per 5 arcminute cell. This layer is part of the Global Roads Inventory Project (GRIP) dataset, developed to provide a more recent and consistent global roads dataset for use in global environmental and biodiversity assessment models like GLOBIO. **Data publication:** 2018-01-01 **Supplemental Information:** The original GRIP dataset consists of global and regional vector datasets in ESRI geodatabase and shapefile format. It is also available as global raster datasets of road density at a 5 arcminutes resolution (~8x8km) from which the land area component has been extracted.. GRIP version 4 (GRIP4) is based on many different sources, including OpenStreetMap. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. **Citation:** Citations and acknowledgements of the GRIP dataset should be made as follows: Meijer, J.R., Huijbegts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006 **Contact points:** Metadata Contact: [GLOBIO](mailto:info.globio@pbl.nl) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the license Creative Commons Zero (CC0) **Online resources:** Globio info Global patterns of current and future road infrastructure. Meijer et al (2018) Env. Res. Letters

Denmark's Height Model - Terrain (DHM/Terrain) is a digital model that describes the height of the terrain in relation to the average sea level. Objects that are located above ground, including trees, houses, cars, and more have been removed. DHM/Terrain and shadow maps are suitable for planning, design and landscape analysis. Data is part of Denmark's Height Model (DHM).

In der Flächenwidmung wird der Verwendungszweck aller Grundstücke eines Gemeindegebietes durch Widmung als Bauland, Freiland, Sonderfläche oder Vorbehaltsfläche festgelegt. Ebenso wird der Verlauf von Straßen vorgesehen. Im Tiroler Raumordnungsgesetz ist festgeschrieben, dass die Widmung digital darzustellen ist. Die Flächenwidmung ist dem INSPIRE Datenthema Bodennutzung (Annex III) zugeordnet. Link zu den Metadaten (Update: 16.10.2026 11:25Uhr)

Digital elevation model tile covering part of the African continent at 3 arc-second (~90 metre) resolution, derived from the HydroSHEDS database combining SRTM and hydrologically-conditioned elevation sources. Use this layer for terrain analysis, slope and aspect mapping, watershed delineation, flood modelling, and infrastructure siting across Africa. No additional information provided.

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem die Siedlungs- und Infrastrukturentwicklung in der Gemeinde abzubilden. Die Siedlungsentwicklung umfasst die Siedlungsentwicklungsgebiete nach der Gliederung, der zeitlichen Abfolge und der Intensität der baulichen Nutzung. Wieters festzulegen sind Gebiete mit Bauverbot, mit Verpflichtung zur Bebauungsplanung, mit textlichen Bebauungsregeln, Gebiete für die Baulandumlegungen erforderlich sind, Grundflächen für Vorbehaltsflächen für den geförderten Wohnbau, Siedlungsgrenzen und Grenzen innerhalb der Siedlungsentwicklungsflächen und Rückwidmungsflächen. Bei der Infrastrukturentwicklung sind der erforderliche Ausbau der infrastrukturellen Verkehrsentwicklung (fließender und ruhender, öffentlicher und Fußgänger- und Radverkehr), der sonstigen technischen Infrastruktur (Wasser- und Energieversorgung, Abwasserentsorgung, Informations- und Kommunikationsinfrastruktur, etc.) und der Ausbau der sozialen Infrastruktur (soziale, kulturelle, Bildungs-, Sporteinrichtungen, Kinderspielanlagen) festzulegen. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden diese Datensätze laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:34Uhr)

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem jene Flächen auszuweisen, die von einer Verbauung freizuhalten (Freihalteflächen) sind. Es gibt Landwirtschaftliche, Forstliche, Landschaftlich wertvolle, Ökologisch wertvolle, sonstige Freihalteflächen und Freihalteflächen für Freizeit-, Sport- und Erholungsnutzung, welche in diesem Datensatz dargestellt werden. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden die Daten laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:40Uhr)

Die Landesregierung hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnungen Raumordnungsprogramme für eine geordnete und nachhaltige räumliche Entwicklung des Landes zu erlassen. Darin sind bestimmte Gebiete zur baulichen Freihaltung für die Landwirtschaft, Landschaft oder Ökologie vorgesehen. In anderen Gebieten ist die Widmung von Sonderflächen für Freizeit- und Sportanlagen zulässig, in den Kernzonen von zentralen Orten ist die Widmung von Sonderflächen für Einkaufszentren möglich. Die Landwirtschaftlichen Vorsorgeflächen sind im tirisMaps im Thema Freihaltegebiete bei der übergeordneten Datenebene Überörtliche Raumordnung enthalten. Die Überörtliche Raumordnung ist dem INSPIRE Datenthema Bodennutzung (Annex III) zugeordnet. Link zu den Metadaten (Update: 16.10.2026 11:45Uhr)

Il servizio rende disponibile in formato vettoriale le informazioni relative all'OROGRAFIA dell'Asta del Fiume Tevere e Lago Trasimeno nel sistema di riferimento 7792. I contenuti di questo STRATO 05 riguardano i seguenti temi: ALTIMETRIA, FORME DEL TERRENO. Il Data base GeoTopografico è stato realizzato a partire dalla fotorestituzione (volo giugno - luglio 2013 - Regione Umbria). In questo strato sono inclusi il tema dell’altimetria con la descrizione di curve di livello e punti quotati, il tema della batimetria con la descrizione delle curve batimetriche e dei punti batimetrici (fondali), il tema delle forme naturali del terreno, cioè di quegli elementi ausiliari di lettura della morfologia del territorio e il tema dei modelli digitali del terreno. Scala 1:10.000

Overview This service presents a styled hillshade surface for the Regional District of Central Okanagan area. It visualizes shaded relief derived from a digital elevation model using blue and purple symbology, supporting map display and feature queries. Layers Hillshade - bidirectional - multicolor (blue/purple): a grouped hillshade display built from two raster views of the same elevation surface. Hillshade_DEM_RDCO - 360 - #660066: a shaded relief surface rendered in purple tones. Hillshade_DEM_RDCO - 270 - #0059B2: a shaded relief surface rendered in blue tones. Characteristics The service depicts terrain illumination and elevation form as a continuous surface, with each pixel representing hillshade intensity from the underlying elevation model. The layered styling supports visual interpretation of slopes, ridges, valleys, and landform texture. Image interpretation: This service contains shaded relief imagery that represents terrain intensity values across the covered area. It is well suited to cartographic display, terrain visualization, and comparison of relief patterns. Temporal summary: The service is static and presents a single terrain representation with no time-based changes. Geographic Coverage The map coverage spans the Regional District of Central Okanagan area in Web Mercator spatial reference. Use Cases This service supports terrain-rich basemaps, landscape visualization, and contextual mapping for planning, environmental review, and cartographic production.

This group includes the following items:  1. Hampton Roads Elevation Certificate Building Footprints: includes only building footprints where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88).   2. Hampton Roads Elevation Certificate Parcels: includes only parcels where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88).  Elevation certificates were collected from the following 12 localities: Chesapeake, Franklin, Gloucester County, Hampton, James City County, Newport News, Norfolk, Portsmouth, Southampton County, Suffolk, Virginia Beach, and York County. Localities included in the current inventory were able to provide digital elevation certificate copies. This inventory is not complete for the region, and elevation certificates will continue to be added to the database when available. The elevation certificate database was developed by HRPDC staff with support from the Center for Geospatial, Science, Education, and Analytics at Old Dominion University (ODU). We would like to acknowledge Manuel Solano (ODU) for his contributions to the Gloucester County and City of Norfolk elevation certificate data development. Building footprints are courtesy the VGIN statewide building footprints layer and locality GIS departments. Building attributes and parcels are courtesy of the Hampton Roads Regional Parcels layer and locality GIS departments. Current flood zones are courtesy of the FEMA National Flood Hazard Layer, with base flood elevations reported in NAVD 1988 where available. A complete list of attribute descriptions is available here.  Created 2/8/2019Updated 10/10/2020

La perimetrazione delle montagne è stata effettuata seguendo l' isoipsa dei 1.200 metri delle Carta tecnica regionale a scala 1:10.000 e con riferimento al DTM 40X40 generato nella realizzazione delle ortofoto digitali Programma IT2000. Fonte dati: Carta tecnica regionale a scala 1:10.000 DTM 40X40 generato nella realizzazione delle ortofoto digitali Programma IT2000.

Il servizio rende disponibile le informazioni relative all'OROGRAFIA dell'Asta del Fiume Tevere e Lago Trasimeno nel sistema di riferimento 7792. I contenuti di questo STRATO 05 riguardano i seguenti temi: ALTIMETRIA, FORME DEL TERRENO. Il Data base GeoTopografico è stato realizzato a partire dalla fotorestituzione (volo giugno - luglio 2013 - Regione Umbria) In questo strato sono inclusi il tema dell’altimetria con la descrizione di curve di livello e punti quotati, il tema della batimetria con la descrizione delle curve batimetriche e dei punti batimetrici (fondali), il tema delle forme naturali del terreno, cioè di quegli elementi ausiliari di lettura della morfologia del territorio e il tema dei modelli digitali del terreno. Scala 1:10.000

Dates of Images: Post-Event: May 22, 2026 Pre-Event: May 7, 2026 Date of Next Image: Unknown Summary: These pre-fire and post-fire images pair were analyzed for normalized burn ratio (NBR). The input images were generated from the Harmonized Landsat Sentinel-2 (HLS) dataset at 30m resolution. NBR is defined mathematically as (NIR – SWIR)/(NIR + SWIR) where NIR is near-infrared and SWIR is short-wave infrared. dNBR is computed by the difference between the pre-fire NBR and the post-fire NBR. More information on dNBR can be found here: https://un-spider.org/advisory-support/recommended-practices/recommended-practice-burn-severity/in-detail/normalized-burn-ratio. dNBR data may be computed while the fire is in progress. This is intentionally done to prioritize rapid data availability for proactive disaster response but means data can change over the course of the fire. Ground slopes were calculated using the slope algorithm in QGIS. This algorithm determined ground slopes in degrees by analyzing USGS 1/3 arcsecond (i.e. roughly 10m) digital elevation rasters in the NAD27 / UTM zone 13N projection. To produce the dNBR and ground slope exceedance map, dNBR data was filtered for values greater than 0.4 and ground slope data was filtered for areas greater than or equal to 23 degrees. These thresholds were defined by NASA subject matter expertise to indicate critical levels for enhanced debris flow risk where both are in exceedance. The locations where both dNBR and slope thresholds were exceeded were initially identified in a binary raster and then vectorized to polygons using 8-neighbor feature selection (data represented here). Suggested Use: dNBR is commonly used as a proxy to identify fire-affected areas. Higher dNBR value are statistically correlated with greater burn severity, where negative dNBR values may represent a re-greening of or growth of vegetation in between pre and post-vegetation. The use of this dNBR product as a quantitative metric of burn severity at the time of posting this dataset should be strongly caveated. This is due to several dNBR limitations: The spectral band selections used for dNBR calculations, and the implication of changes observed following fire in those wavelengths, primarily pertain to how vegetation spectral signatures change in NIR and SWIR wavelengths following charring. Because of this, dNBR will not accurately describe burned surfaces that are not vegetation (e.g. human built infrastructure), and the interpretation of dNBR values may vary widely based on the type of vegetation burned. This dataset has not been validated by independent burn severity assessments. The degree to which dNBR is accurately determined depends on careful selection of pre and post event imagery. An effort was made to use the highest quality imagery (i.e. cloud free) with representative conditions for each scene; however, it is unknown at the time of this posting how selection of different pre/post image pairs could affect the derived dNBR values. Satellite/Sensor: NASA Disasters/MSFC, USGS, ESA Copernicus Resolution: 10 meters Credits: NASA Disasters Program, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202605_FIRE_CA/sentinel2_dnbr_slopeExceedance/MapServer/WMSServer

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem jene Flächen auszuweisen, die von einer Verbauung freizuhalten (Freihalteflächen) sind. Es gibt Landwirtschaftliche, Forstliche, Landschaftlich wertvolle, Ökologisch wertvolle, sonstige Freihalteflächen und Freihalteflächen für Freizeit-, Sport- und Erholungsnutzung, welche in diesem Datensatz dargestellt werden. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden die Daten laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:40Uhr)

The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information. The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces. To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake water bodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required. The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in GeoTIFF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each data product is provided as a zipped file that contains an attribute file with the water body classification information and a DEM file, which provides elevation information in meters.

Das Tiroler Naturschutzgesetz 2005 - TNSchG 2005 regelt verschiedene naturschutzrechtliche Festlegungen. Dieser Gis-Datensatz beinhaltet folgende Schutzgebietskategorien:Landschaftsschutz-, Naturschutz-, Ruhe-, Sonderschutzgebiete, Nationalpark Hohe Tauern, Geschützte Landschaftsteile.Die Schutzgebiete (Naturschutzgesetz) sind dem INSPIRE Datenthema Schutzgebiete (Annex I) zugeordnet. Link zu den Metadaten (Update: 16.10.2026 11:57Uhr)