Link to the original metadata form in the EUROSTAT portal
Land cover was digitised and classified into paved, buildings, evergreen trees, deciduous trees, grass, bare soil and water. Two situations were defined: * Baseline (“before NbS”): the land cover pattern is identical to the current situation except that the area where the urban forest is now located is reverted to paved apron surface in the grid. Port buildings, water and the small existing patches of grass and trees remain unchanged. * Current state (“after NbS”): the urban forest planted in September 2025 is mapped as evergreen trees on the part of the apron that used to be paved.
Description of the single resource (file or service) to be added
Link to the original metadata form in the Copernicus Land Monitoring Service open data portal
Alternative Source (Copernicus Land Monitoring Service)
This dataset contains rigger thresholds and validation of advice.
Link to the original metadata form in the Denmark open data portal
Original metadata on Denmark open data portal
This dataset provide spatial reference for hydrological and ecological analysis.
Link to the original metadata form in the ZENODO portal
Link to the original metadata form in the Malmö open data portal
Original metadata on Malmö open data portal
A digital surface model (DSM) is a representation of the Earth’s surface that includes everything sitting on top of the ground: buildings, trees, vehicles, bridges, and any other elevated features. A Digital surface model (DSM) from Malmö’s GIS platform was used to represent the surface, including buildings.
Link to the original metadata form in the ARPAE open data portal
Original metadata on ARPAE open data portal
Link to the original metadata form in the Helsingborg open data portal
Original metadata on Helsingborg open data portal
The product is a terrain model in grid form with coordinate highlights in a regular grid with 1 meter resolution with high elevation accuracy. The product is used in agriculture and forestry, crisis preparedness, project planning, exploitation, geology, archaeology and orientation maps, among other things.
This data set has been used as a forcing input both for mapping the impact of rain floods and for modeling the urban drainage.
Link to the original metadata form in the DEXT3R portal
The dataset supports the planning of natural flood retention measures.
This dataset define crop types and derive crop production map for Austria.
Link to the original metadata form in the Data Catalouge BEV open data portal
Original metadata on Data Catalouge BEV open data portal
Open WMS endpoint in QGIS or other GIS/webGIS software
This dataset contains vulnerability indicators (farm structure, income dependency, demographics) at municipal level.
Agricultural Structure and Socioeconomics - Wagram
Link to the original metadata form in the County Administrative Board of Skåne open data portal
Original metadata on County Administrative Board of Skåne open data portal
Link to the original metadata form in the FAO open data portal
The DLM - Buildings project area represents an Austria-wide, complete and homogeneous building stock in vector form. The attributes carried per polygon enable a representation of the buildings as a block model in 2.5D (LoD-1) and, if unique, an attributive relation (1:1) to the address register via AGWR object number on the basis of several height information (ground height, mean object height, maximum object height, ...).
Building Geometries with Height - Amstetten
Link to the original metadata form in the FAO portal
The dataset was re-mapped to HRUs to parameterize vegetation and management.
The dataset is a peak river flow estimation under design scenarios. Data are related to the following station: * Station name: BRÖDDEBACKEN * StationId: 2127 * Station network: SMHI station network * Station latitude: 55.9953 * Station longitude: 12.7982 The parameters measured are "Water flow" (unit of measure m³/s) and "Quality". Values are reported at monthly frequency from Februrary 2015 to January 2025; the table is structured in the following attributes: * Month * Water flow * Quality
Open OGC Feature API in QGIS or other GIS/webGIS software
Share of irrigated land (Global - ~1 km) - GAEZ V5 The GAEZ v5 land cover layers also include information of area equipped for irrigation derived from the “Global Area Equipped for Irrigation Dataset”. It uses the latest sub-national irrigation statistics (covering 17298 administrative units) from various official sources to develop a gridded global product of area equipped for irrigation for the years 2000, 2005, 2010, and 2015 (Mehta et al., 2024). The result is represented as percentage of cropland area under irrigation, in a 30 arc-second grid cell.
STAC API to access and download. It requires authentication via Geotorget. As a logged in user, you can, among other things, order Lantmäteriet’s geodata products, apply to sign agreements, follow your cases and see your order history.
Coastal protection installations are a dataset that shows coastal protection structures in Denmark. This datasets rapresent dikes, pumping stations, and barriers in models.
Hydrological Adaptation Structures - Vejrup Å Catchment
Dext3r is the application for the autonomous and completely free extraction of weather data recorded by the RIRER regional survey network managed by Arpae-Simc. This dataset contains data related to daily meteorology data for baseline and possible scenarios.
Link to the original metadata form in the GADM portal
Link to the original metadata form in the CLCplus Backbone open data portal
This dataset contains crop production data to calculate exposure.
Link to the original metadata form in the RER open data portal
Original metadata on RER open data portal
DHM/Terrain is a digital model of ground elevation relative to mean sea level. All objects above the ground, such as trees, houses, cars, etc., have been removed. The dataset is used as an elevation base for flood modeling: it identifies depressions and flow paths. The terrain data are part of the Denmark Elevation Model and are made available as web services and downloads.
Link to the original metadata form in the CRITERIA3D github repository
Original metadata on CRITERIA3D github repository
This dataset contains the input data for rainfall erosivity (R-factor), baseline and future scenarios.
Core structural input for hydraulic modelling: network topology, pipe diameters/slopes, detention volumes.
Open WCS endpoint in QGIS or other GIS/webGIS software
Link to the original metadata form in the Statistik Austria open data portal
Original metadata on Statistik Austria open data portal
Link to the original metadata form in the EEA data hub
This INSPIRE dataset describes areas based on their current function or socio-economic purpose (ExistingLandUse). Data can be used alone or in combination with other data from Denmark and Europe for analyses and presentations.
This dataset shows which arable lands have full irrigation to define vulnerability.
This dataset contains specific parameters needed for the hazard assessment.
This dataset is a polygonal vector layer that rapresent the new urban forest planted in Sept 2025. It was used to replace paved surface with evergreen trees in the “after NbS” scenario and wad digitised in QGIS. The NbS design for the urban forest was imported as polygons and overlaid with the grid to identify which cells are affected by the intervention.
Link to the original metadata form in the Danmark open data portal
Original metadata on Danmark open data portal
Available Water Capacity (in mm) derived by calculating Water Retention Difference (difference between the field capacity and wilting point; see NRCS Soil Survey Laboratory Methods Manual), and then summing up WRD for all standard layers (0–200 cm). Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution is available here. These estimates ignore depth to bedrock i.e. existence of any impenetrable layer (total available capacity over the whole land mass is likely about 10–15% smaller).
Link to the original download page in the DISCC-AT open data portal
Original download page on DISCC-AT open data portal
This dataset contains meteorological observation for calibration and validation of rainfall erosivity.
Open WFS endpoint in QGIS or other GIS/webGIS software
This dataset was used for validating hydraulic simulations.
Digital terrain model from airborne laser scan data. Heights of the terrain in grids of 10m x 10m. The zip file contains the data in GeoTIFF format. (Projection EPSG:31287)
The dataset identifies existing high-value ecosystems for connectivity planning.
The data shows buildings, including garage, carport, tank/silo, conservatory, glass extension, shed, half-roof, covered area, fixed awning on building, platform roof, houseboat and the like. However, mobile homes, caravans, tents or the like are not included.
The dataset contains data to isolate area/city of interest.
Administrative boundaries - Zagreb and Krapina-Zagorje
The dataset contains data to estimate the frequency and intensity of wind hazards.
Climate Impact Indicators - Windstorm Hazard
The dataset contains data to identify exposed assets and infrastructure.
This dataset define pollutant inputs to simulate stormwater quality.
This dataset has info on farmland and crops, including the C-factor and how the exposure units for arable land are defined.
This dataset contains hydrological and geotechnical soil properties of the different soil layers.
Link to the original metadata form in the Copernicus Climate Data Store open data portal
Alternative Source (Copernicus Climate Data Store)
Link to the original metadata form in the European Soil Database portal
Alternative Source (European Soil Database)
Graphical interface for downloading ERG5 observational data (CSV format) by cell and by year.
This dataset contains the data inventory of urban trees.
The dataset supplies Compute ETc from ETo×Kc.
The weaving map represents the areal distribution of the granulometric fractions classified according to the USDA methodology (International Standard, ref. U.S. Department of Agriculture). Each cell is assigned a % value of sand, silt, clay, skeleton and the USDA textural class. Each parameter is accompanied by an assessment of the reliability of the estimated value. The representation of the territory takes place through a raster with pixels with a side of 100 m. The attribution of the pixel values is the result of a geostatistical analysis in the plains and Digital Soil Mapping in the Apennines and refers to the first 30 cm of soil.
EPW files are “typical meteorological dataset with a typical year” and can be downloaded from several sources (e.g. EnergyPlus, EPWmap) or generated from reanalysis datasets such as ERA5(-Land). EPW file (DNK_Copenhagen.061800_IWEC.epw) was added as reference climate data for the region and was used for CRA context and potential UMEP runs, but is not used in the heat index calculations.
The Land Cover product provides information on 6 land cover classes throughout Austria (high, medium and low vegetation, buildings, soil areas, bodies of water). The Land Cover dataset is derived from remote sensing data (digital orthophotos, digital surface model from aerial photographs, digital terrain elevation model from ALS flights) by automated processes and is available as a grid with a resolution of 20 cm.
Link to the original metadata form in the Statistics Austria national statistical portal
Original metadata on Statistics Austria national statistical portal
The product represents the altimetry through a 5x5 meter cell model to which the elevation information is associated. , The model is derived from the most detailed altimetric information available in the regional territory, obtained from LiDAR (aerial) survey projects.
The Digital Surface Model (DOM) describes the Earth's surface and all objects on it in the form of sets of points arranged in a regular grid and georeferenced in terms of position and height. In contrast to the digital terrain model (DGM), the vegetation and building surface is thus displayed. The high-resolution ALS-DGM data were acquired using airborne laser scanning technologies and are a cooperation product of the Austrian official geodata providers of the federal and state governments.
Polygonal vector dataset representative of landslides that occurred following the meteorological events of May 2023 that affected the provinces of Reggio Emilia, Modena, Bologna, Ravenna, Forlì Cesena and Rimini. The Type field indicates the type of landslide, according to the following preliminary legend: A - rapid landslides of earth and/or debris; B - unchanneled earth and/or debris flows; C - channeled earth and/or debris flows; F - mudflows; R: translational and/or rotational sliding; SCST - translational rock slides on stratum plane; SCSTI - translational rock slides on incipient layer planes; CMPL - Complex landslides; CR - collapses or collapses/slips., The methodology used for the mapping is mainly based on the photointerpretation of high-resolution aerial and satellite images made available, integrated locally by information acquired as a result of specialized surveys carried out in the emergency phase, by technical data acquired as a result of surveys carried out by external geologists on behalf of local authorities or the national and regional civil protection system and by data acquired in the context of exchanges of information with local authorities and other infrastructure managers.
Graphical interface for downloading forecast data Icon on ERG5 grid (csv format). For information about the Icon model, see: https://www.arpae.it/it/temi-ambientali/meteo/scopri-di-piu/il-modello-meteorologico-icon
This dataset defines marine flooding scenarios under current and climate change.
Storm Surge and Sea Level Rise - Vejrup Å Catchment
Link to the original metadata form in the Copernicus Climate Data Storee open data portal
The dataset identifies the hydrological corridors and links the areas of ecological value.
Individual trees located on public land in the city of Malmö. Attributes: * objnr [individual tree identifier] * vetenskapligt namn [scientific name] * svenskt namn [Swedish name] * typ [plant environment, e.g. park environment, street environment] * planteringsår [year the tree was planted] * krondiameter [given in meters] * stamdiameter [given in centimeters] * vitalitet [tree health: 1. Good vitality, 2. Moderate vitality, 3. Poor vitality, 4. Very poor vitality] * marktäckning [type of soil material around the tree] * inventeringsdatum [date when the tree was last inventoried] * kategori [deciduous or coniferous] * ursprung [geographical origin] * timestamp [file upload date] Geometry type is Point, CRS according to WGS84.
This dataset was used as input for K-factor.
The FGGD thermal climate zone map is a global raster datalayer with a resolution of 5 arc-minutes. Each pixel contains a class value for the dominant thermal climate found in the pixel. The underlying temperature data are from the Climate Research Unit (CRU) at the University of East Anglia-Norwich, as reported in FAO and IIASA, 2007.
The dataset identifies potential restoration areas and historical flood retention areas.
Link to the original metadata form in the Danish Climate Data Agency open data portal
Original metadata on Danish Climate Data Agency open data portal
The land use database constitutes the mapping of the various land uses, classified according to a hierarchical legend derived from the specifications of the European project Corine Land Cover (CLC), integrated by the Land Use Working Group of the CPSG-CISIS.
Link to the original metadata form in the Copernicus Climate Data Store portal
River flood hazard maps for Europe and the Mediterranean Basin region is a gridded data set representing inundation along the river network, for nine different flood return periods (from 1-in-10-years to 1-in-500-years). The input river flow data for the new maps are produced by means of the open-source hydrological model LISFLOOD, while inundation simulations are performed with the hydrodynamic model LISFLOOD-FP. The extent comprises most of the geographical Europe and all the river basins entering the Mediterranean and Black Seas in the Caucasus, Middle East and Northern Africa countries. Flood hazard maps are generated for river basins > 150km2. Cell values indicate water depth (in m). The maps can be used to assess the exposure of population and economic assets to river floods, and to perform flood risk assessments.
Downloadable data and documentation related to the detailed land use vector covers 2023
Link to the original metadata form in the GeoSphere Austrian spatial data portal
Original metadata on GeoSphere Austrian spatial data portal
Link to the original metadata form in the DGU open data portal
Original metadata on DGU open data portal
A Digital elevation model was derived in QGIS and was used together with DSM to estimate building height and morphology.
This dataset contains input data for flood hazard (pluvial flooding) and used as standalone hazard indicator.
Climate Impact Indicators - Precipitation Extremes
The Climate Observatory and the Territory and Networks Unit of Arpae Simc produce a meteorological dataset of hourly and daily data for the main meteorological and agrometeorological variables that covers the entire regional territory from 2001 to today. The data are obtained by spatial interpolation on a regular grid starting from the values detected by the network of weather stations. A grib file (https://en.wikipedia.org/wiki/GRIB) containing the hourly and daily values of each cell in the dataset is produced and published every day (to use the grib data, see the examples on https://github.com/ARPA-SIMC/simc-opendata-examples). The data are also published in csv format.
This dataset contains data to compare applied vs recommended.
The dataset is a hydrological input for pluvial flood modelling and hazard mapping for different return periods.
Link to the original download page on GeoSphere Austrian spatial data portal
Original download page on GeoSphere Austrian spatial data portal
The digital terrain elevation model (DTM) describes the earth's surface (natural soil, without vegetation) in the form of sets of points arranged in a regular grid and georeferenced in position and height. The high-resolution ALS-DGM data were acquired using airborne laser scanning technologies and are a cooperation product of the Austrian official geodata providers of the federal and state governments.
The dataset was used as input to model urban exposure to river flooding during extreme rainfall events.
Return Time Rainfall Height Statistics - Vollsmose
Natura 2000 is the main instrument of the European Union's policy for the conservation of biodiversity. It is an ecological network spread throughout the territory of the Union, established under Directive 92/43/EEC "Habitats" to ensure the long-term maintenance of natural habitats and species of flora and fauna threatened or rare at Community level. This dataset was used by Helsingborg municipality to identifies protected ecological zones.
A regular 10 × 10 m grid (613 cells) was created in QGIS to cover the Ferry Terminal area. All analysis is carried out at grid-cell level.
Link to the original metadata form in the Inspire Geoportal Österreich open data portal
Original metadata on Inspire Geoportal Österreich open data portal
This dataset was derived from high-resolution DEM + land cover (morphological delineation of sub catchments to nodes).
This dataset contains vegetation parameters.
The map covers 78% of the Emilia-Romagna region and describes the soils and their geographical distribution in the plain, in 93% of the lower Apennines (hills) and in 37% of the middle Apennines, at a scale of 1:50,000. Each individual polygon (delineation) of the soil map is identified by a numerical code and is described for the soils that constitute it. A total of 13,353 soil polygons are outlined, of which 2,230 in the plains, 5,188 in the lower Apennines or hills and 5,935 in the middle Apennines The soil polygons have an average area of 467 ha in the plains, 71 ha in the lower Apennines and 31 ha in the middle Apennines. Polygons with similar soil distribution constitute a cartographic unit (there are 820 of them). A total of 466 soil types are described (210 in the plains, 162 in the lower Apennines, 90 in the middle Apennines and 4 in the Upper Apennines), classified according to Soil Taxonomy (2010, 2014) and WRB (1998, 2007, 2014).
Link to the original metadata form in the CLIMAAX portal
Exposure and vulnerability assessment (population density, age structure, eventually income).
This dataset contains indicators of extreme heat and heatwaves.
Climate Impact Indicators - Heatwave Hazard
This dataset was used to support the estimation of infiltration and runoff coefficients.
The dataset contains data to quantify people potentially affected.