snow-depth-mapping

maintainer: Mauro Marty

title_for_slug: snow-depth-mapping

en: avalanche image-matching dsm snow-hydrology aerial-imagery snow-water-equivalent snow-depth

en: Snow depth map 20140417

media_type: image/tiff

en: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.18 m

format: TIFF

mimetype: image/tiff

en: Snow depth map 20150415

en: Snow depth map 20160420

en: Snow depth map 20160309

en: Snow depth map 20120320

en: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

en: Snow depth map 20100416

en: Snow depth map 20160126

en:
Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m
Because of very diffuse light conditions at time of image acquisition the quality of the resulting snow depth values are in some regions quite poor.

en: Snow depth map 20130415

en:
The available datasets are snow depth maps with a spatial resolution of 2m generated from image matching of ADS 80/100 data. Image acquisition took place at peak of winter (time when the thickest snowpack is expected). The snow depth maps are the difference of a summer DSM from the winter DSM of the corresponding date . The summer DSM used is a product of image matching of ADS 80 data from summer 2013. In the available products buildings, vegetation and outliers were masked (set to NoData).
For the elimination of buildings the TLM layer (swisstopo) was used, because this layer might not represent exactly the
state of infrastructure at time of image acquisition, it is possible that mainly in dense settlement some buildings were not successfully masked. For the relevant area above treeline the masking of buildings showed good results. Vegetation got masked for a height above ground > 1m and was detected in a combination of summer and winter data sets. As Outliers were considered unrealistic snow depths caused by a failure of the image matching algorithm. Snow depths > 15m and smaller than < -15m were classified as outliers. Negative snow depth were kept, because of an uncertainty in image orientation accuracy. It is expected that in regions with negative snow depth also positive snow depth are underestimated by the same amount, which means that an estimation of snow volume should be carried out summing up the absolute values of snow depth (also the negative ones). For volume estimation in small regions the user has to take into account, that orientation accuracy of the images is roughly around 1-2 GSD (30cm), which propagates directly to the snow depth product. Areas which are not covered by snow got assigned a value of 0 as snow depth.

The work is published in:

Bühler, Y.; Marty, M.; Egli, L.; Veitinger, J.; Jonas, T.; Thee, P.; Ginzler, C., (2015). Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9 (1), 229-243. doi: 10.5194/tc-9-229-2015

aerial-imagery

display_name: aerial-imagery

avalanche

display_name: avalanche

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.


maintainer: Leo Gallus Bont

en: qgis accessible-forest geoprocessing openstreetmap forest seilaplan

state: active

type: dataset

en: Railways vector data (close to the sample forest range)

media_type: application/zip

format: ZIP

mimetype: application/zip

en: DEM (for the area of the sample forest range)

en: Digitised sample perimeter

en: Juypter Notebook for Data Preparation (online)

format: SERVICE

en: Forest vector data (for sample forest range)

en: Juypter Notebook for Data Preparation

en: Preview

media_type: image/png

format: PNG

mimetype: image/png

en: Power lines vector data (close to the area of the sample forest range)

en:
This dataset contains open vector data for railways, forests and power lines, as well an open digital elevation model (DEM) for a small area around a sample forest range in Europe (Germany, Upper Bavaria, Kochel Forest Range, some 70 km south of München, at the edge of Bavarian Alps).
The purpose of this dataset is to provide a documented sample dataset in order to demonstrate geospatial preprocessing at FOSS4G2019 based on open data and software. This sample has been produced based on several existing open data sources (detailed below), therefore documenting the sources for obtaining some data needed for computations related to forest accessibility and wood harvesting. For example, they can be used with the open methodology and QGIS plugin [Seilaplan]( https://doi.org/10.16904/envidat.software.1) for optimising the geometric layout cable roads or with additional open software for computing the forest accessibility for wood harvesting.
The vector data (railways, forests and power lines) was extracted from OpenStreetMap (data copyrighted OpenStreetMap contributors and available from https://www.openstreetmap.org). The railways and forests were downloaded and extracted on 18.05.2019 using the open sources QGIS (https://www.qgis.org) with the QuickOSM plugin, while the power lines were downloaded a couple of days later on 23.05.2019.

Additional notes for vector data:
Please note that OpenStreeMap data extracts such as forests, roads and railways (except power lines) can also be downloaded in a GIS friendly format (Shapefile) from http://download.geofabrik.de/ or using the QGIS built-in download function for OpenStreetMap data. The most efficient way to retrieve specific OSM tags (such as power=line) is to use the QuickOSM plugin for QGIS (using the Overpass API - https://wiki.openstreetmap.org/wiki/Overpass_API) or directly using overpass turbo (https://overpass-turbo.eu/). Finally, the digitised perimeter of the sample forest range is also made available for reproducibility purposes, although any perimeter or area can be digitised freely using the QGIS editing toolbar.

The DEM was originally adapted and modified also with QGIS (https://www.qgis.org) based on the elevation data available from two different sources, by reprojecting and downsampling datasets to 25m then selecting, for each individual raster cell, the elevation value that was closer to the average. These two different elevation sources are:

- Copernicus Land Monitoring Service - EU-DEM v.1.1 (TILE ID E40N20, downloaded from https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1; this original DEM was produced by the Copernicus Land Monitoring Service “with funding by the European Union” based on SRTM and ASTER GDEM)
- Digitales Geländemodell 50 m Gitterweite (https://opendata.bayern.de/detailansicht/datensatz/digitales-gelaendemodell-50-m-gitterweite/), produced by the Bayerische Vermessungsverwaltung – www.geodaten.bayern.de –and downloaded from http://www.geodaten.bayern.de/opendata/DGM50/dgm50_epsg4258.tif

This methodology was chosen as a way of performing a basic quality check, by comparing the EU-DEM v.1.1 derived from globally available DEM data (such as SRTM) with more authoritative data for the randomly selected region, since using authoritative data is preferred (if open and available). For other sample regions, where authoritative open data is not available, such comparisons cannot longer be performed.

Additional notes DEM: a very good DEM open data source for Germany is the open data set collected and resampled by Sonny (sonnyy7@gmail.com) and made available on the Austrian Open Data Portal http://data.opendataportal.at/dataset/dtm-germany. In order to simplify end-to-end reproducibility of the paper planned for FOSS4G2019, we use and distribute an adapted (reprojected and resampled to 25 meters) sample of the above mentioned dataset for the selected forest range.

This sample dataset is accompanied by software in Python, as a Jupiter Notebook that generates harmonized output rasters with the same extent from the input data. The extent is given by the polygon vector dataset (Perimeter). These output rasters, such as obstacles, aspect, slope, forest cover, can serve as input data for later computations related to forest accessibility and wood harvesting questions. The obstacles output is obtained by transforming line vector datasets (railway lines, high voltage power lines) to raster. Aspect and slope are both derived from the sample digital elevation model.

accessible-forest

display_name: accessible-forest

forest

display_name: forest

geoprocessing

display_name: geoprocessing

openstreetmap

display_name: openstreetmap

qgis

display_name: qgis

seilaplan

display_name: seilaplan

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Sample Geodata and Software for Demonstrating Geospatial Preprocessing for Forest Accessibility and Wood Harvesting at FOSS4G2019


rorcc

maintainer: Tobias Wechsler

title_for_slug: rorcc

en: run-of-river-power-plants climate-change environmental-flow hydropower design-discharge

en: RoRCC

en:
The dataset “RoRCC” consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
-	metadata on the RoR power plants under consideration
-	annual and seasonal production scenarios differentiated into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)
-	annual and seasonal production loss due to environmental flow requirements
-	annual and seasonal the technical increase potential (via design discharge optimisation)
-	annual and seasonal changes in the hydrological cycle for the three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)

format: XLS

en:
The dataset "RoRCC" consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
1) metadata on the RoR power plants under consideration, 2) annual and seasonal production potential scenarios under into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099), 3) annual and seasonal streamflow scenarios, 4) annual and seasonal production loss due to environmental flow requirements, 5) annual and seasonal the technical increase potential (via design discharge optimisation) and 6) annual and seasonal changes in the hydrological cycle.

climate-change

display_name: climate-change

design-discharge

display_name: design-discharge

environmental-flow

display_name: environmental-flow

hydropower

display_name: hydropower

run-of-river-power-plants

display_name: run-of-river-power-plants


maintainer: EnviDat Support

en: landscape-services switzerland land-use modeling land-use-change urbanization statistical-model

en: Data for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
The provided folder structure follows the set up of the scripts.
Data is only provided when it has been fully produced by us, otherwise dummies are given.
For data that will be produced by one of the scripts, no dummies are given.
The folders may contain sub-folders, which would be filled if the scripts were all run

 00_Analysis_Data
Data produced throughout the process of the calibration and projection that is later needed for analysis

 01_Raw_Data
Primary data from external sources that were used to compile the rasters and numbers used during the calibration and projection of landscape transitions as well as service calculation

 02_Prepared_Data
Data that will be prepared for further use by scripts are put in here
Additionally it contains the parameter sheets for the transition predictors that we compiled

 03_Model_Data
 Model outputs
Folder were the projection models statistics will be saved
 Models
Folder into which the actual transition models will be saved
 Residuals
Folder into which data on models residuals will be saved for future use

 04_Projected_Data
The output of the projections will be saved into this folder

 05_Service_Data
Any service calculations will be saved in here

 06_Results_Analysis
Any Analysis plots and tables as well as intermediate data will be saved here in the respective sub-folder

en: Scripts for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
Scripts ordered by their main purpose within sequential folders in this ReadMe marked with

Within the folders the capital letters refer to the parallel or sequential use of the scripts; scripts here in ReadMe are marked with

 00_Function Scripts
 Functions.r
Script containing several functions for analyzing statistical models: cohen.kappa, meva.table, D2, max-Tss, plot-TSS

 Service_functions.R
Script containing functions for calculating all services and returning sums (and median for bd and rec) as well as rasters

 01_Data Preparation
 A_AS_raster_preparation.R
Preparation of the land use rasters for the years 1985, 1997, and 2009 based on the original Arealstatistik (AS/ASCH); Assigning our categories and assining new values to all "construction sites" for calibrating the models
For model projection starting point (2009) and for service calculations (all ASCH years) the "other" categories were assigned to the land use categories based on dominant neighbor, so that there were no empty cells
Creation of water & mountainous area raster that stayed stable throughout the projections
Creation of MFH raster (2009), to have as base for all new projection years, as this category never becames any other

 B_Factors_preparation.R
Preparation of the factor rasters that were used to calculate service values per cell (see Table 2): LWfactor, Transportation, Vol, Rivers, Lakes, slope, TWW, Hazard_risk

 B_Predictors_preparation.R
Preparation of the raster of the predictors used for calibrating (ASCH years) and projecting (stable) the transition models that do not depend on the land use categories: Temperature (ASCH years), solar radiation (stable), Public transportation access (stable), Elevation (stable), Workers density (ASCH years), Population change (ASCH transitions)

 B_Regions_preparation.R
Preparation of bioregions as raster to be used to mask asxxxx later to calculated services and land use area just for one region

 C_Pred_proj.R
Projecting the dynamic predictors into the future for projecting the land use transitions with the model: Linear extrapolations for workers densities and population; more detailed extrapolation of temperature (based on data for all stations that matched between the temp table we used for the calibration period and the projections from CS2M, and then making a spatial interpolation for all years based on the interpolation of temperature for all years per station)

 02_Model calibration
 A_Bioreg_pred_corr.R
Calculating correlation between the predictors for each bioregion and land use category, Output are those with too high correlation so that one predictor can be removed from transitions were both predictors occur

 A_trans_numbers_bioreg.R
Calculate transition numbers for each bioregion to decide which transitions to primarily consider

 B_Bioreg_ext_eval.R
Calculating TSS based on the external evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 85-97, evaluation data: 97-09)

 B_Bioreg_int_eval.R
Calculating TSS based on the internal evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 70%, evaluation data: 30%)

 C_Bioreg_TSS_analysis.R
Extracting TSS numbers from internal and external evaluation, calculating mean and median for each transition for each region for each evaluation method and saving as csv per region to be able to select only the transitions with high enough model performance

 D_Bioreg_Models_for_prediction.R
Calibration of the models that were then used to project land use transitions into the future; calibrated separately for each bioregion

 E_Residuals_trans_models.R
Calculation of Moran's I statistics to analyze the residuals of the land use transition models

 03_Projections
 A_Bioreg_Projections_run.R
Master script for: Extrapolaitng into the future with the regional models and then assembling for each time step to calculate new AS predictors; Several Outputs: txt file to test for NAs in Predictors, txt file with random seed number for sampling, txt file with times for calculation steps (check progress of script while running), csv sheet with projected transition frequencies, tif-rasters for every region and time step, pdf with raster plot for every region and time step

 04_Service calculation
 A_Bioreg_as_services.R
Calculate services per bioregion for years 1985, 1997, 2009

 A_Service_calculation_bioregions.R
Extracting service numbers(sums) per bioregions for all projection runs and storing them in a list of matrixes to be available for further plotting; can be run for swiss wide projections or regional ones

 05_Analysis
 A_Bioreg_ASCH_development.R
Extracting the occurrence of each category per region for all runs (first part), then for ASCH years, and then plotting them nicely; only works for regional projections

 A_Bioreg_Predictors_importanceD2.R
Calculating D2 for each transition and each considered predictor from bivariate models to get value of importance

 B_Bioreg_Pred_imp_analysis.R
Using calculated D2 to sort Predictors according to their importance for each transition

 A_Bioreg_Spatial_results_analysis.R
Plotting randomly sampled runs for ASCH and services to analyses their spatial development

 A_Bioreg_Transition_numbers_check_v1.R
Analyzing the frequency for all transitions for all regions and producing the point plots for each transition separately

 A_Bioreg_Transition_numbers_check_v2.R
Analyzing percentage and numbers of all transitions but plotting them per region and originating ASCH category

 B_Transition_Analysis.R
Further Analysis of transition numbers

 A_Service_analysis.R
Plotting of the service development for bioregions in several ways for analyzing

en:
Data and scripts of publication:

Madleina Gerecke, Oskar Hagen, Janine Bolliger, Anna M. Hersperger, Felix Kienast, Bronwyn Price, Loïc Pellissier (2019) Assessing potential landscape service trade-offs driven by urbanization in Switzerland. Palgrave communications.

Contains land use projections for Switzerland and scripts and data for these projections as well as the calculation of landscape services.

Data Folder:
Contains sub-folder with the data necessary for this study (provided were no copyright issues, otherwise placeholders with descriptions), and folders where produced data may be stored

Scripts Folder:
Contains scripts organized into subfolders depending on their purpose

Note: Some abbreviations within the scripts and data are derived from German words and not English.

land-use

display_name: land-use

land-use-change

display_name: land-use-change

landscape-services

display_name: landscape-services

modeling

display_name: modeling

statistical-model

display_name: statistical-model

switzerland

display_name: switzerland

urbanization

display_name: urbanization

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Land use projections and services for Switzerland


en: alptal first-order-catchment runoff snow subalpine meteorological-data

en: Daily meteorological and snow data (1968-2022) Alptal

en:
Air temperature, dew point temperature, relative humidity, wind speed, precipitation and global radiation have been measured (since 1981) on a meadow (Erlenhöhe) in the Erlenbach catchment. It is located at 1'220 m a.s.l. with an exposure towards west. In order to assess the spatial variability of precipiation, two additional rain gauges have been running in the Vogelbach and Lümpenenbach catchment, respectively.
For the period before 1981, meteorological variables have been extrapolated from the nearby MeteoSwiss station Einsiedeln (ca. 15 km north) to the WSL station Erlenhöhe using a linear correction factor for air temperature, wind speed and precipitation.
Snow depth has been recorded automatically since 2003. Snow water equivalent has been calculated using two numerical models: COUP model (Jansson, 2012) and DeltaSnow model (Winkler et al., 2021)

Jansson, P.-E. (2012). COUP model: model use, calibration, and validation.Transactions of the ASABE, 55(4), 1335–1344.
Winkler, M., et al. (2021): Snow water equivalents exclusively from snow depths and their temporal changes: the Δsnow model, Hydrol. Earth Syst. Sci., 25, 1165-1187, 10.5194/hess-25-1165-861 2021.

en: Manual snow measurements Alptal (1968-2022)

en:
Snow depth, snow density and snow water equivalent have been measured since winter 1968/69 along more than 15 transects distributed across the Alptal valley representing different altitudes, aspects and land use (closed forest and open meadows). Length of the snow courses: 20 to 30 m. The measurement interval has been weekly to monthly.
More details about the locations and methods can be found in Stähli, M.; Gustafsson, D., (2006). Long-term investigations of the snow cover in a subalpine semi-forested catchment. Hydrological Processes, 20, 411-428. doi: 10.1002/hyp.6058.

en: Daily runoff data from three steep torrents in the Alptal (1968-2022)

en: Runoff, water temperature and electrical conductivity have been measured since 1968 at the outlet of three torrential catchments (with an area of approximately 1 km2 each) located in the Alptal valley: Erlenbach, Lümpenenbach and Vogelbach. This data set provides daily mean values; data at 10-min resolution can be provided on request for the period 1984-2022 (contact: alptal@wsl.ch).

en:
This data set includes 54 years of hydrometeorological measurements from small (first-order) catchments in the pre-alpine valley Alptal. Here we provide daily mean values; values in sub-daily resolution can be provided on demand.
Runoff has been measured at the outlet of three small (first-order) catchments of approximately 1 km2 area: Erlenbach (two independent runoff measurements), Vogelbach and Lümpenenbach. The catchments are similar with regard to geology (Flysch) and soil conditions (clay soils), but differ in forest coverage (20 to 60%). A detailed description of the catchments can be found at https://www.wsl.ch/alptal .
Runoff in these small catchments is typically very dynamic and can temporally carry large amounts of sediment and large wood. Thus, the accuracy of the measurements at very large flow is limited.
Meteorological variables have been measured on a meadow (Erlenhöhe) located in the Erlenbach catchment at 1220 m a.s.l. using a standard meteorological station (incl. ventilated air temperature and heated rain gauges). In addition, precipitation has also been recorded at two other locations (in the Vogelbach and Lümpenenbach catchments).
Snow measurements have been conducted weekly to monthly since 1968 at more than 15 locations (30-m transects) representing different altitudes, aspects and land uses (meadow, forest). In addition, snow depth has been recorded continuously since 2003 at Erlenhöhe, and for this location we also include a simulation of snow depth and SWE (using the numerical models COUP and DeltaSnow) that assimilates the manual weekly snow-course measurements. Details on these snow measurements can be found in Stähli, M. and Gustafsson, D. 2006. Hydrol. Proc., 20, 411-428. doi: 10.1002/hyp.6058.

Further information on the methods and sensors can be found at https://www.wsl.ch/alptal .

A first version of this data set (for the period 1968-2017) was uploaded in June 2018 at the occasion of the 50-year anniversary. This original data set was updated in February 2021 (with data from 2018 and 2019), and this data set was used for a longterm trend analysis, submitted for publication in a special issue of Hydrological Processes. A second update of the data set (with data from 2020 to 2022) was uploaded in March 2023.

alptal

display_name: alptal

first-order-catchment

display_name: first-order-catchment

meteorological-data

display_name: meteorological-data

runoff

display_name: runoff

snow

display_name: snow

subalpine

display_name: subalpine

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Longterm hydrological observatory Alptal (central Switzerland)


en: topography nature-conservation urban-compactness urban-morphology urban-sprawl planning-outcome basic-services spatial-modelling built-up-classification forest-gain forest-persistence land-use-and-cover-change

en: Population density per pixel (change per year)

format: GeoTIFF

en: Urban persistence: Built-up 2005 = Built-up 2015

en: slope

en: Slope °

en: Native forest cover gains from 2005 to 2015

en: isolated

en: New built-up pixels classified as isolated

en: Master plan Ubatuba (zones)

en: Native forest cover persistence from 2005 to 2015

en: Increase in sanitation service

en: infill

en: New built-up pixels classified as infill

en: Descricao dos dados em portiuguês

media_type: application/pdf

en: Portugues description

format: PDF

en: Increase in waste collection service

en: Variables description

en: Table of content. Variables description, source, and other important information

en: Permanent housing density increase

en: Mean income in Reais (R$) per census sector (change per year)

en: Ecological-Economic Zoning (EEZ)

format: SHP

en:
Basic education in % per census sector (change per
year)

en: Master plan Ihabela (zones)

en: Increase in clean water provision service

en: Increase in Normalized Difference Vegetation Index

en: Axial

en: New built-up pixels classified as axial

en: Topographic Index Position (TPI)

en: Human Development Index (HDI) per municipality (change per year)

en:
The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation.

We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality.

1)	Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase

We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software.

Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015).

To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication).

The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of > 0.2 NDVI to represent an improvement in forest quality.

2)	Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population:

The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication).

3)	Topographic drivers

To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication).

basic-services

display_name: basic-services

built-up-classification

display_name: built-up-classification

forest-gain

display_name: forest-gain

forest-persistence

display_name: forest-persistence

land-use-and-cover-change

display_name: land-use-and-cover-change

nature-conservation

display_name: nature-conservation

planning-outcome

display_name: planning-outcome

spatial-modelling

display_name: spatial-modelling

topography

display_name: topography

urban-compactness

display_name: urban-compactness

urban-morphology

display_name: urban-morphology

en: Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil


maintainer: Franziska Gerber

en: cosmo-wrf static-data topography landuse cryowrf wrf

en: Static data for WRF - Topography

en: Documentation

en: Documentation of the dataset

en: Static data for WRF - Soiltype top

en: Example namelist.wps to use with the 1s static data

en: Static data for WRF - Soiltype bottom

en:
Example GEOGRID.TBL to use with the 1s static data;
Note about naming:
* 121 -> 1-2-1 topography smoothing applied to dataset
* 1 -> one smoothing cycle applied to the data (needs to be changed depending on the chosen resolution to avoid too steep slope angles)

en: Static data for WRF - Landuse

en: Static input data (topography, landuse and soiltype) for the WRF preprocessing system WPS is provided for Switzerland and its neighboring countries between 45-49 N and 4-12 E. The data is provided at a resolution of 1 s. Topography is based on the Aster dataset, while landuse is extracted from the Corine landuse dataset. Soil type is set to silty clay loam for the entire domain. This static input data is valid for WRF and CRYOWRF.

cosmo-wrf

display_name: cosmo-wrf

cryowrf

display_name: cryowrf

landuse

display_name: landuse

static-data

display_name: static-data

wrf

display_name: wrf

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: High resolution static data for WRF over Switzerland


en: uav photogrammetry dsm wingtra drone-data

en: Data Access

en:
- DSM 10cm resolution
- Orthomosaic 3cm resolution
- Agisoft Metashape Processing Report
- original RGB images

All generated products are also available as a cloud optimized geotiff.

en: We conducted four drone flights in Davos Wolfgang Arelen, in 2020/21 and 2022 to obtain data for the generation of DSMs and orthomosaics at a high resolution. The data was processed with the Agisoft Metashape Professional Software.

drone-data

display_name: drone-data

dsm

display_name: dsm

photogrammetry

display_name: photogrammetry

uav

display_name: uav

wingtra

display_name: wingtra

en: Photogrammetric Drone Data Wolfgang Arelen


maintainer: Frank Techel

en: long-term-trends avalanche-accident-statistics avalanche-statistics avalanche-accident avalanche-fatalities

en: Data avalanche fatalities 1969/1970 - 2014/2015

media_type: text/plain

en: The data comprises avalanche fatality data from the Alpine regions in the seven countries Austria, France, Germany, Italy, Liechtenstein, Slovenia, and Switzerland.

format: TXT

mimetype: text/plain

en:
During the last 45 years, about 100 people lost their lives in avalanches in the European Alps each year. Avalanche fatalities in settlements and on transportation corridors have considerably decreased since the 1970s. In contrast, the number of avalanche fatalities during recreational activities away from avalanche-secured terrain doubled between the 1960s and 1980s and has remained relatively stable since, despite a continuing strong increase in winter backcountry recreational activities.

Data complementing Figure 2 in:
_"Avalanche fatalities in the European Alps: long-term trends and statistics"_, by Techel, F., Jarry, F., Kronthaler, G., Mitterer, S., Nairz, P., Pavšek, M., Valt, M., and Darms, G.

Data description:
please refer to section 2 (Data and Methods) in the mentioned publication

avalanche-accident

display_name: avalanche-accident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

avalanche-statistics

display_name: avalanche-statistics

long-term-trends

display_name: long-term-trends

en: Avalanche fatalities in the European Alps (1969/1970 - 2014/2015)


en: landscape place-attachment urban-ecology electrodermal-activity sense-of-place

en: 00. EDA Raw Data

en: 02. Questionnaire Data

en: 05. Visuals

en: 04. Scripts

en: 01. EDA Processed Data

en: 03. Publication Ready Data

en: This repository contains data on EDA measurements of visitors with different cultural backgrounds in virtual urban park settings. The parks are a Persian garden (Shiraz, Iran) and a historical park in Zurich, Switzerland. The cultural background of the visitors is Persian and Central European. The repository contains raw data from EDA, processed time series and statistical procedures.

electrodermal-activity

display_name: electrodermal-activity

landscape

display_name: landscape

place-attachment

display_name: place-attachment

sense-of-place

display_name: sense-of-place

urban-ecology

display_name: urban-ecology

en: Electrodermal Activity (EDA) of Bi-cultural Visitors In Virtual Park Settings


fr: kanton flachmoor biotop

de: kanton flachmoor biotop

en: kanton flachmoor biotop

it: kanton flachmoor biotop

label: geocat.ch permalink

fr: WFS-Dienst des Kantons Schwyz

de: WFS-Dienst des Kantons Schwyz

en: WFS-Dienst des Kantons Schwyz

it: WFS-Dienst des Kantons Schwyz

format: WFS

fr: Rechtsgültige Darstellung aller kantonalen Nutzungspläne im Bereich Natur- und Heimatschutz

spatial: Kanton Schwyz (SZ)

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

de: Das Amt für Geoinformation verwaltet und veröffentlicht die Geodaten des Kantons Schwyz als OGC-Geodienste und als Datei-Download. Alle aktuell verfügbaren Geodaten, welche dem OGD unterliegen, sind hier aufgeführt.

political_level: canton

value: SZ-Kt Geoinformation - Geocat Harvester

fr: Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz ÖREB


maintainer: Ionuț Iosifescu Enescu

en: map 0.2GB

en: map 0.5GB

en: map preview 0.5MB

mimetype: image/jpeg

en: Bulk Data Access

en: Link to the S3 bucket where all the data resources can be downloaded in bulk

en: huge map 100GB

en: map 2GB

en: large map 10GB

en: map 1GB

en:
The attached data are some large GIS raster files (GeoTIFFs) made with Natural Earth data. Natural Earth is a free vector and raster map data @ naturalearthdata.com. The data used for creating these large files was the "Cross Blended Hypso with Shaded Relief and Water". Data was concatenated to achieve larger and larger files. Internal pyramids were created, in order that the files can be opened easily in a GIS software such as QGIS or by a (future) GIS data visualisation module integrated in EnviDat.

Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

gis

display_name: gis

large-files

display_name: large-files

natural-earth

display_name: natural-earth

qgis

display_name: qgis

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Large GIS raster data derived from Natural Earth Data (Cross Blended Hypso with Shaded Relief and Water)


fr: schutzzone grundwasserschutz gewasserschutz grundwasser trinkwasser

format: WMS

fr: Grundwasserschutzzbereiche sind Teil des planerischen Gewässerschutzes. Sie dienen als Grundlage für Schutzmassnahmen dem Schutz vor Beeinträchtigungen des Grundwassers. Sie umfassen Schutzbereiche der unterirdischen sowie oberflächlichen Gewässer, welche der Trinkwasserversorgung dienen.

fr: Gewässerschutzbereich Ao

de: Gewässerschutzbereich Ao

en: Gewässerschutzbereich Ao

it: Gewässerschutzbereich Ao


maintainer: Peter Bebi

en: soil-temperature carbon-dioxide vegetation climate-change stillberg experiment

en: Metadata FACE Stillberg Experimental Design

en: Schematic illustration and tabular listing of the FACE experimental design.

en: Metadata FACE Stillberg Data File Description

media_type: text/csv

en: List of descriptions for each of the .csv FACE data files.

format: CSV

en: Project Description FACE Stillberg

media_type: text/html

en: Link to FACE project description on the WSL website.

format: HTML

en: Data FACE Stillberg

en: Folder in .zip format containing the FACE datasets.

en:
 Background information

High elevation ecosystems are important in research about environmental change because shifts in climate associated with anthropogenic greenhouse gas emissions are predicted to be more pronounced in these areas compared to most other regions of the world. This project involved a Free Air CO2 Enrichment (FACE) and soil warming experiment located in a natural treeline environment near Davos, Switzerland (Stillberg, 2200 m a.s.l.). Elevated atmospheric CO2 concentrations (+200 ppm) were applied from 2001 until 2009, and a soil warming treatment (+4 °C) was applied from 2007 until 2012. The combined CO2 enrichment and warming treatment reflects conditions expected to occur in this region in approximately 2050. A broad range of ecological and biogeochemical research was carried out as part of this environmental change project.

 Experimental design

The experiment consisted of 40 hexagonal 1.1 m² plots, 20 with a *Pinus mugo* ssp. *uncinata* (mountain pine, evergreen) individual in the centre and 20 with a *Larix decidua* (European larch, deciduous) individual in the centre. A dense cover of understorey vegetation surrounded the tree in each plot, including the dominant dwarf shrub species *Vaccinium myrtillus* (bilberry), *Vaccinium gaultherioides* (group *V. uliginosum agg.*, northern bilberry) and *Empetrum nigrum* ssp. *hermaphroditum* (crowberry) plus several herbaceous and non-vascular species.
At the beginning of the experimental period, the 40 plots were assigned to ten groups of four neighbouring plots (two larch and two pine trees per group) in order to facilitate the logistics of CO2 distribution and regulation. Half of these groups were randomly assigned to an elevated CO2 treatment, while the remaining groups served as controls and received no additional CO2. In spring 2007, one plot of each tree species identity was randomly selected from each of the 10 CO2 treatment groups and assigned a soil warming treatment, yielding a balanced design with a replication of five individual plots for each combination of CO2 level, warming treatment and tree species.

 Data description

Soil and air conditions have been monitored closely throughout the study period, with most measurements made during the combined CO2 x warming experiment (2007-2009). The data comprise of air temperature, soil temperature, soil moisture, sapflow, tree diameter and CO2 measurements.

carbon-dioxide

display_name: carbon-dioxide

climate-change

display_name: climate-change

experiment

display_name: experiment

soil-temperature

display_name: soil-temperature

stillberg

display_name: stillberg

vegetation

display_name: vegetation

en: FACE: Stillberg CO2 enrichment and soil warming study


en: wind-speed meteo meteorology long-term precipitation climate-change par temperature swiss-forest-lab relative-humidity

en: Site photo of the forest station (SCB)

en: Site photo of the forest station from below (viewing upwards the slope).

en: Data plot of the field station (SCF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Site aerial photo (Schänis)

en: Site aerial photo from both Schänis stations. Source: Google. 2016. Site aerial photo from both Schänis stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Forest station data (SCB)

en: Data file.

en: Site photo of the field station (SCF)

en: Site photo of the field station from above (viewing downwards the slope).

en: Further details on the data repository

en: Meta data documentation.

en: Field station data (SCF)

mimetype: text/csv

en: Data plot of the forest station (SCB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Schänis in Switzerland where one station is located within a natural mixed forest stand (SCB) with European beech (_Fagus sylvatica_; 130-150 yrs), European silver fir (_Abies alba_; 130-150 yrs) and European ash (_Fraxinus excelsior_; 130-150 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, SCF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Schänis is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Schänis, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1998 onwards


en: forest-fire natural-hazards bark-beetles extreme-events protective-effect drought protection-forest compound-events

en: Conclusions and recommendations of the project (in German).

mimetype: application/pdf

en: Description of the study site, extreme event (trigger event) and informations about the survey.

en: Factsheet summarising the methods used in this project (in German).

en: Factsheet summarising the key results of the study (in German).

en: Case study website

en: Page of the case study on the project website. It includes figures fo all questions of the survey and additional synthesis graphs.

en: Factsheet summarising the key results of the study (in Italian).

en: Factsheet summarising the key results of the study (in French).

en:
This file contains the anonymous answers to the survey for the case study in the protective forest, Val Mesolcina, GR, Switzerland within the BAFU Project "Wenn Risiken kumulieren - Analyse und Umgang mit unerwarteten Ereignissen und kombinierten Risiken".
The survey consists of two parts, based on different concepts: "top-down" and "bottom-up". Answers for both concepts are available in two different worksheets within the Excel file.

en:
This dataset contains the results of a case study analysing the potential impacts of a compound meteorological extreme event on the protective forest in the Val Mesolcina. These impacts were assessed in an experts survey. 29 Experts from practice, administration and science estimated the probabilities for a loss of the protective function due to a drought-related compound extreme event based on different hazard scenarios. The experts not only assessed these probabilities but also provided estimates about the reliability of the scenarios, other socio-economic consequences and options for adaptation.
This dataset contains the following information:
- Table with all (anonymised) answers from the survey
- Factsheets summarising the results and methods in German, French and Italian
- A detailed description of the study site and survey instructions
- Link to the project website wit illustrations for each individual question of the survey

bark-beetles

display_name: bark-beetles

compound-events

display_name: compound-events

drought

display_name: drought

extreme-events

display_name: extreme-events

forest-fire

display_name: forest-fire

natural-hazards

display_name: natural-hazards

protection-forest

display_name: protection-forest

protective-effect

display_name: protective-effect

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Experts survey protective forest and combined extremes in Val Mesolcina


fr: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Wangen

en: WFS-Dienst des Kantons Schwyz

fr: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111). Dieser Datensatz ist ÖREB-relevant. D.h. diejenigen Objekte, die die Verbindlichkeit "Nutzungsplanfestlegung" aufweisen, sind auch im ÖREB-Kataster ausgewiesen. Unter den Fachdaten sind alle Objekte aufgeführt, also auch Objekte mit den Verbindlichkeiten "orientierend", "hinweisend" und "wegleitend".

spatial: Wangen (SZ)


kantonsstrassen

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: kantonsstrassen

label: Web GIS Client des Kanton Uri. Die Daten können direkt via dem Portal in den unterschiedlichsten Datenformaten heruntergeladen werden.

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Strassen, die sich im Zuständigkeitsbereich des Kantons befinden, inkl. Basisbezugspunkte.

spatial: Canton of Uri (UR)

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

de: Die Lisag AG bewirtschaftet das geografische Informationssystem des Kantons Uri (GIS Uri), ist die verantwortliche Stelle für den ÖREB-Kataster Uri und zudem zuständig für die Durchführung der amtlichen Vermessung auf Urner Kantonsgebiet.

value: Uri-Kt - Geocat Harvester

fr: Kantonsstrassen

de: Kantonsstrassen

en: Kantonsstrassen

it: Kantonsstrassen


maintainer: Bundesamt für Energie BFE

fr: Contenu des bassins d'accumulation, dimanche 24:00 heures, bulletin hebdomadaire

it: Grado di riempimento dei bacini di accumulazione, domenica alle ore 24, rapporto settimanale livello di accumulazione

author: Bundesamt für Energie BFE

fr:
Ce relevé, élaboré chaque dimanche à 24h00, recense le contenu (en GWh et en %) des bassins d'accumulation suisses dans 4 régions différentes.
Le taux de remplissage des bassins d'accumulation est relevé dans le cadre de la Statistique de l'électricité, qui fait partie de la statistique publique de la Suisse (base légale: LSF).

de: Der Füllungsgrad der Speicherseen, Sonntag 24h, Wochenbericht Speicherinhalt gibt Auskunft über den Speicherinhalt der Schweizer Speicherseen für vier Regionen in GWh und als Füllgrad in % jeweils am Sonntag 24h auf wöchentlicher Basis. Der Füllungsgrad der Speicherseen wird im Rahmen der Elektrizitätsstatistik erhoben, welche Teil der öffentlichen Statistik der Schweiz ist (gesetzliche Grundlage: BStatG).

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).

political_level: confederation


postleitzahl-ur

title_for_slug: postleitzahl-ur

fr: Postleitzahl aus TOPIC «PLZOrtschaft» der amtlichen Vermessung.

fr: Postleitzahl (UR)

de: Postleitzahl (UR)

en: Postleitzahl (UR)

it: Postleitzahl (UR)


respiratorische-viren

maintainer: Bundesamt für Gesundheit, Abteilung Übertragbare Krankheiten

title_for_slug: Respiratorische Viren

de: rhinovirus bag rsv coronavirus influenza sars-cov-2 adenovirus covid-19 respiratorische-viren

en: respiratory-viruses rsv adenovirus covid-19 sars-cov-2 rhinovirus influenza foph coronavirus

fr: Virus respiratoire - Sentinella

de: Respiratorische Viren - Sentinella

en: Respiratory viruses - sentinella

it: Virus respiratori -  Sentinella

fr: Les données publiées ici se fondent sur les informations recueillies par le système de déclaration Sentinella. Dans le cadre de ce système, les médecins transmettent des informations sur les premières consultations en raison d’une infection respiratoire aiguë (ARI) ou d’une affection grippale (ILI) dans leurs cabinets ou lors de visites à domicile.

en: The data published here are based on information from the Swiss Sentinel Surveillance Network (SSSN, Sentinella) monitoring system. Within the framework of this reporting system, outpatient doctors send information on initial consultations due to acute respiratory infection (ARI) or influenza-like illness (ILI) in medical practices and during home visits.

de: Die hier veröffentlichten Daten basieren auf Informationen aus dem Sentinella-Meldesystem. Im Rahmen dieses Meldesystems übermitteln ambulant tätige Ärztinnen und Ärzte Informationen zu Erstkonsultationen aufgrund akuter respiratorischer Infektion (ARI) oder grippeähnlicher Erkrankung (ILI) in Arztpraxen und bei Hausbesuchen.

it: I dati pubblicati di seguito si basano sulle informazioni ricavate dal sistema di dichiarazione Sentinella. Nel quadro di questo sistema di dichiarazione, i medici che esercitano nel settore ambulatoriale trasmettono informazioni relative alle prime consultazioni svolte negli studi medici o durante le visite domiciliari in cui i pazienti presentano un’infezione respiratoria acuta (acute respiratory infection, ARI) o una sindrome simil-influenzale (influenza-like illness, ILI).

fr: Virus respiratoire - Monitorage des eaux usées

de: Respiratorische Viren - Abwassermonitoring

en: Respiratory viruses - wastewater monitoring

it: Virus respiratori -  Monitoraggio delle acque reflue

fr: Les données publiées ici se fondent sur les informations issues du monitorage national des eaux usées de la Suisse et de la Principauté de Liechtenstein. Ce monitorage enregistre la charge virale de certains virus dans des échantillons des stations d’épuration des eaux usées (STEP) participantes ; il enregistre celle du SARS-CoV-2 depuis janvier 2022, celle de l’influenzavirus et du VRS depuis juillet 2023.

en: The data published here are based on information from the national  wastewater monitoring programme for Switzerland and the Principality of Liechtenstein. This monitoring programme has been recording the viral load of SARS-CoV-2 since January 2022 and since July 2023, the viral load of influenza and RSV in wastewater samples from participating wastewater treatment plants (WWTPs).

de: Die hier veröffentlichten Daten basieren auf Informationen aus dem nationalen Abwassermonitoring der Schweiz und Fürstentum Liechtenstein. Dieses Monitoring erfasst seit Januar 2022 die Viruslast von SARS-CoV-2 und seit Juli 2023 die Viruslast von Influenza und RSV in Abwasserproben der teilnehmenden Abwasserreinigungsanlagen (ARA).

it: I dati pubblicati di seguito si basano sulle informazioni ricavate dal monitoraggio nazionale delle acque reflue della Svizzera e del Principato del Liechtenstein. Questo monitoraggio registra la carica virale del SARS-CoV-2 dal gennaio 2022 e quella dell’influenza e del VRS dal luglio 2023 nei campioni di acque reflue degli impianti di depurazione delle acque reflue (IDA) partecipanti.

en: Data of the spread and development of respiratory virus infections and cases in Switzerland and the Principality of Liechtenstein.  You will find data on outpatient consultations from the Sentinella reporting system and on the viral load in wastewater from the wastewater monitoring system.

de: Daten zur Verbreitung und zeitlichen Entwicklung von respiratorischen Virusinfektionen und Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten zu ambulanten Konsultationen aus dem Sentinella-Meldesystem und zur Viruslast im Abwasser aus dem Abwassermonitoring.

adenovirus

display_name: adenovirus

bag

display_name: bag

coronavirus

display_name: coronavirus

foph

display_name: foph

influenza

display_name: influenza

respiratorische-viren

display_name: respiratorische-viren

respiratory-viruses

display_name: respiratory-viruses

rhinovirus

display_name: rhinovirus

rsv

display_name: rsv

de: Respiratorische Viren

en: Respiratory viruses

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

abteilung-uebertragbare-krankheiten

fr: Division Maladies transmissibles

de: Abteilung Übertragbare Krankheiten

en: Communicable Diseases Division

it: Divisione Malattie trasmissibili

fr: Les maladies transmissibles constituent une menace pour la santé publique. La division les surveille, publie régulièrement des rapports sur la situation épidémiologique, définit des stratégies de prévention et de contrôle, et les met en œuvre.

en: Communicable diseases pose a risk to public health. The division monitors these diseases, publishing regular reports on the epidemiological situation, laying down and implementing prevention and control strategies.

de: Übertragbare Krankheiten gefährden die öffentliche Gesundheit. Die Abteilung überwacht diese Krankheiten, publiziert regelmässig Berichte zur epidemiologischen Situation, legt Präventions- und Kontrollstrategien fest und setzt sie um.

it: Le malattie trasmissibili mettono in pericolo la salute pubblica. La divisione Malattie trasmissibili le monitora, pubblica regolarmente rapporti sulla situazione epidemiologica, stabilisce strategie di prevenzione e di controllo e le attua.


influenza

title_for_slug: Influenza

name: Bundesamt für Gesundheit, Abteilung Übertragbare Krankheiten

de: grippe influenza bag

en: foph seasonal-flu influenza

fr: Les données publiées ici se fondent sur les informations issues du monitorage national des eaux usées de la Suisse et de la Principauté de Liechtenstein. Ce monitorage enregistre depuis juillet 2023 la charge virale de la grippe dans des échantillons des stations d’épuration des eaux usées (STEP).

en: The data published here are based on information from Switzerland and the Principality of Liechtenstein’s national wastewater monitoring system. This system has been recording the viral load for influenza in wastewater samples from participating wastewater treatment plants (WWTPs) since July 2023.

de: Die hier veröffentlichten Daten basieren auf Informationen aus dem nationalen Abwassermonitoring der Schweiz und des Fürstentums Liechtenstein. Dieses Monitoring erfasst seit Juli 2023 die Viruslast von Influenza in Abwasserproben der teilnehmenden Abwasserreinigungsanlagen (ARA).

it: I dati pubblicati di seguito si basano sulle informazioni ricavate dal monitoraggio nazionale delle acque reflue della Svizzera e del Principato del Liechtenstein. Dal luglio 2023 questo monitoraggio registra la carica virale dell’influenza nei campioni di acque reflue degli impianti di depurazione delle acque reflue (IDA) partecipanti.

de: Influenza - Obligatorisches Meldesystem

en: Influenza - mandatory reporting system

en: The data published here are based on information that laboratories, doctors and hospitals have submitted to the FOPH under the mandatory reporting requirement.

de: Die hier veröffentlichten Daten basieren auf Informationen, die Laboratorien in der Schweiz und im Fürstentum Liechtenstein dem BAG im Rahmen der Meldepflicht übermittelt haben (Obligatorisches Meldesystem).

fr: Influenza - Sentinella

de: Influenza - Sentinella

en: Influenza - sentinella

it: Influenza - Sentinella

fr: Les données publiées ici se fondent sur les informations recueillies dans le cadre du système Sentinella. Depuis 1987, les médecins transmettent des informations concernant les premières consultations de patients présentant une affection grippale dans leur cabinet ou lors de visites à domicile.

en: The data published here are based on information from the Swiss Sentinel Surveillance Network (Sentinella, SSSN) monitoring system. Since 1987, outpatient doctors have been submitting information on initial consultations in medical practices and during home visits for patients with influenza-like illness (ILI).

de: Die hier veröffentlichten Daten basieren auf Informationen aus dem Sentinella Erhebungssystem. Ambulant tätige Ärztinnen und Ärzte übermitteln seit 1987 Informationen zu Erstkonsultationen von Patientinnen und Patienten mit einer grippeähnlichen Erkrankung (influenza-like illness, ILI) in Arztpraxen und bei Hausbesuchen.

it: I dati pubblicati di seguito si basano sulle informazioni ricavate dal sistema di dichiarazione Sentinella. Dal 1987 i medici che esercitano nel settore ambulatoriale trasmettono informazioni relative alle prime consultazioni svolte negli studi medici o durante le visite domiciliari in cui i pazienti presentano una sindrome simil-influenzale (influenza-like illness, ILI).

en: Data of the spread and development of influenza infections and cases in Switzerland and the Principality of Liechtenstein.  You will find data on outpatient consultations from the Sentinella reporting system, on laboratory-confirmed cases from the mandatory reporting system and on the viral load in wastewater from the wastewater monitoring system.

de: Daten zur Verbreitung und zeitlichen Entwicklung von Influenza Infektionen und Grippe Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten zu ambulanten Konsultationen aus dem Sentinella-Meldesystem, zu laborbestätigten Fällen aus dem obligatorischen Meldesystem und zur Viruslast im Abwasser aus dem Abwassermonitoring.

grippe

display_name: grippe

seasonal-flu

display_name: seasonal-flu

de: Influenza

en: Influenza


regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

en: Environment

fr: couverture-du-sol geodonnees-de-base

de: bodenbedeckung geobasisdaten

en: land-cover official-geodata

it: copertura-del-suolo geodati-di-base

url: https://geo.ur.ch/?layers=Bodenbedeckung Darstellung schwarz weiss

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Die Informationsebene Bodenbedeckung ist eine generalisierte und kartografisch bearbeitete Darstellung realer Objekte mit flächiger Ausdehnung (Gebäude, Strassen, Gewässer, Wald...).

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

de: Die Lisag AG bewirtschaftet das geografische Informationssystem des Kantons Uri (GIS Uri), ist die verantwortliche Stelle für den ÖREB-Kataster Uri und zudem zuständig für die Durchführung der amtlichen Vermessung auf Urner Kantonsgebiet.

fr: Bodenbedeckung Darstellung schwarz weiss (UR)


liegenschaften-ur

envi

fr: Environnement

it: Ambiente

title_for_slug: liegenschaften-ur

fr: terrain geodonnees-de-base

de: grundstuck geobasisdaten

en: site official-geodata

it: fondo geodati-di-base

fr: Die Informationsebene Liegenschaften enthält die Grundstücke gemäss Art. 655 Abs. 2 ZGB: rechtsgültige und projektierte Liegenschaften (Parzellen), selbständige und dauernde Rechte (z.B. Baurecht). Zudem sind ab dem Massstab 1:1'000 auch die Grenzpunkte und Hoheitsgrenzpunkte sichtbar.

fr: Liegenschaften (UR)

de: Liegenschaften (UR)

en: Liegenschaften (UR)

it: Liegenschaften (UR)


gebaudeadressen-ur

title_for_slug: gebaudeadressen-ur

fr: Die Gebäudeadresse setzt sich zusammen aus einer Ortschaft mit Postleitzahl, einem Lokalisationsnamen (in der Regel Strassennamen) und einer Hausnummer. Zusätzlich werden die Strassenstücke und benannten Gebiete der amtlichen Vermessung dargestellt.

fr: Gebäudeadressen (UR)

de: Gebäudeadressen (UR)

en: Gebäudeadressen (UR)

it: Gebäudeadressen (UR)


planeinteilungen-ur

title_for_slug: planeinteilungen-ur

fr: repartition-du-plan geodonnees-de-base

de: planeinteilung geobasisdaten

en: plan-division official-geodata

it: ripartizione-del-piano geodati-di-base

fr: Die Geometrien und Nummern der Planeinteilung des Planes für das Grundbuch.

fr: Planeinteilungen (UR)

de: Planeinteilungen (UR)

en: Planeinteilungen (UR)

it: Planeinteilungen (UR)


title_for_slug: SARS-CoV-2 (Covid-19)

de: relevante-virusvarianten covid-19 bag laborbestatigte-falle tests coronavirus laborbestatigte-todesfalle epidemiologischer-verlauf laborbestatigte-hospitalisationen

en: coronavirus covid-19 epidemiological-course foph relevant-virus-variants laboratory-confirmed-deaths laboratory-confirmed-cases laboratory-confirmed-hospitalisations tests

fr: Covid-19 - Système de déclaration obligatoire

de: Covid-19 - Obligatorisches Meldesystem

en: Covid-19 - mandatory reporting system

it: Covid-19 - Sistema di dichiarazione obbligatoria

fr: Les données publiées ici se fondent sur les informations que les laboratoires, les médecins et les hôpitaux ont transmises à l’OFSP dans le cadre de la déclaration obligatoire.

de: Die hier veröffentlichten Daten basieren auf Informationen, die Laboratorien, Ärztinnen und Ärzte sowie Spitäler dem BAG im Rahmen der Meldepflicht übermittelt haben.

it: I dati pubblicati di seguito si basano su informazioni comunicate dai laboratori, dai medici e dagli ospedali all’Ufficio federale della sanità pubblica (UFSP) nel quadro della dichiarazione obbligatoria.

fr: Covid-19 - surveillance génomique

de: Covid-19 - Genomische Überwachung

en: Covid-19 - genomic surveillance

it: Covid-19 - monitoraggio genomico

fr: Les données se fondent sur les informations tirées du Programme national de surveillance génomique du SARS-CoV-2, auquel participent, à l’heure actuelle, des laboratoires des hôpitaux universitaires et de grands hôpitaux régionaux de Suisse, ainsi qu’une plateforme de séquençage.

en: The data are based on information from the national genomic SARS-CoV-2 surveillance programme. Currently participating in the programme are laboratories of the university hospitals and larger regional hospitals in Switzerland, as well as a sequencing platform.

de: Die Daten basieren auf Informationen aus dem nationalen genomischen SARS-CoV-2 Überwachungsprogramm. An diesem beteiligen sich aktuell Laboratorien der Universitätsspitäler und grösserer Regionalspitäler der Schweiz sowie eine Sequenzierungsplattform.

it: I dati si basano sulle informazioni ricavate dal programma nazionale di sorveglianza genomica del SARS-CoV-2, al quale attualmente aderiscono i laboratori degli ospedali universitari e dei maggiori ospedali regionali della Svizzera, nonché una piattaforma di sequenziamento.

fr: Virus respiratoire - Sentinella

de: Respiratorische Viren - Sentinella

en: Respiratory viruses - sentinella

it: Virus respiratori -  Sentinella

fr: Les données publiées ici se fondent sur les informations recueillies par le système de déclaration Sentinella. Dans le cadre de ce système, les médecins transmettent des informations sur les premières consultations en raison d’une infection respiratoire aiguë (ARI) ou d’une affection grippale (ILI) dans leurs cabinets ou lors de visites à domicile.

en: The data published here are based on information from the Swiss Sentinel Surveillance Network (SSSN, Sentinella) monitoring system. Within the framework of this reporting system, outpatient doctors send information on initial consultations due to acute respiratory infection (ARI) or influenza-like illness (ILI) in medical practices and during home visits.

de: Die hier veröffentlichten Daten basieren auf Informationen aus dem Sentinella-Meldesystem. Im Rahmen dieses Meldesystems übermitteln ambulant tätige Ärztinnen und Ärzte Informationen zu Erstkonsultationen aufgrund akuter respiratorischer Infektion (ARI) oder grippeähnlicher Erkrankung (ILI) in Arztpraxen und bei Hausbesuchen.

it: I dati pubblicati di seguito si basano sulle informazioni ricavate dal sistema di dichiarazione Sentinella. Nel quadro di questo sistema di dichiarazione, i medici che esercitano nel settore ambulatoriale trasmettono informazioni relative alle prime consultazioni svolte negli studi medici o durante le visite domiciliari in cui i pazienti presentano un’infezione respiratoria acuta (acute respiratory infection, ARI) o una sindrome simil-influenzale (influenza-like illness, ILI).

fr: Covid-19 - Sentinella

de: Covid-19 - Sentinella

en: Covid-19 - sentinella

it: Covid-19 - Sentinella

fr: Les données publiées ici se fondent sur les informations recueillies par le système Sentinella. Dans le cadre de ce système de déclaration, les médecins transmettent depuis mars 2020 des informations sur les premières consultations de patients présentant une infection respiratoire aiguë dans leur cabinet ou lors de visites à domicile.

en: The data published here are based on information from the Swiss Sentinel Surveillance Network (SSSN, Sentinella) monitoring system. Since March 2020, the system has been used by doctors working on an outpatient basis to submit information on initial consultations in medical practices and during home visits for patients with acute respiratory infections (ARIs).

de: Die hier veröffentlichten Daten basieren auf Informationen aus dem Sentinella-Meldesystem. Im Rahmen dieses Meldesystems übermitteln ambulant tätige Ärztinnen und Ärzte seit März 2020 Informationen zu Erstkonsultationen von Patientinnen und Patienten mit akuter respiratorischer Infektion (ARI) in Arztpraxen und bei Hausbesuchen.

it: I dati pubblicati di seguito si basano sulle informazioni ricavate dal sistema di dichiarazione Sentinella. Nel quadro di questo sistema di dichiarazione, dal marzo 2020 i medici che esercitano nel settore ambulatoriale trasmettono informazioni relative alle prime consultazioni svolte negli studi medici o durante le visite domiciliari in cui i pazienti presentano un’infezione respiratoria acuta (acute respiratory infection, ARI)

fr: Virus respiratoire - Monitorage des eaux usées

de: Respiratorische Viren - Abwassermonitoring

en: Respiratory viruses - wastewater monitoring

it: Virus respiratori -  Monitoraggio delle acque reflue

fr: Les données publiées ici se fondent sur les informations issues du monitorage national des eaux usées de la Suisse et de la Principauté de Liechtenstein. Ce monitorage enregistre depuis juillet 2023 la charge virale de la grippe dans des échantillons des stations d’épuration des eaux usées (STEP).

en: The data published here are based on information from Switzerland and the Principality of Liechtenstein’s national wastewater monitoring system. This system has been recording the viral load for influenza in wastewater samples from participating wastewater treatment plants (WWTPs) since July 2023.

de: Die hier veröffentlichten Daten basieren auf Informationen aus dem nationalen Abwassermonitoring der Schweiz und des Fürstentums Liechtenstein. Dieses Monitoring erfasst seit Juli 2023 die Viruslast von Influenza in Abwasserproben der teilnehmenden Abwasserreinigungsanlagen (ARA).

en: Data of the spread and development of SARS-CoV-2 infections and Covid-19 cases in Switzerland and the Principality of Liechtenstein. You will find data of the viral load in wastewater from the wastewater monitoring system, of outpatient consultations from the Sentinella reporting system and of cases, hospitalisations, deaths and tests from the obligatory reporting system.

de: Daten zur Verbreitung und zeitlichen Entwicklung von SARS-CoV-2 Infektionen und Covid-19 Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten zur Viruslast im Abwasser aus dem Abwassermonitoring, zu ambulanten Konsultationen aus dem Sentinella-Meldesystem und zu Fällen, Hospitalisationen, Todesfällen und Tests aus dem obligatorischen Meldesystem.

epidemiological-course

display_name: epidemiological-course

epidemiologischer-verlauf

display_name: epidemiologischer-verlauf

laboratory-confirmed-cases

display_name: laboratory-confirmed-cases

laboratory-confirmed-deaths

display_name: laboratory-confirmed-deaths

laboratory-confirmed-hospitalisations

display_name: laboratory-confirmed-hospitalisations

laborbestatigte-falle

display_name: laborbestatigte-falle

laborbestatigte-hospitalisationen

display_name: laborbestatigte-hospitalisationen

laborbestatigte-todesfalle

display_name: laborbestatigte-todesfalle

relevant-virus-variants

display_name: relevant-virus-variants

relevante-virusvarianten

display_name: relevante-virusvarianten

tests

display_name: tests

de: SARS-CoV-2 (Covid-19)

en: SARS-CoV-2 (Covid-19)

heal

fr: Santé

de: Gesundheit

en: Health

abteilung-uebertragbare-krankheiten

fr: Division Maladies transmissibles

de: Abteilung Übertragbare Krankheiten

en: Communicable Diseases Division

fr: Les maladies transmissibles constituent une menace pour la santé publique. La division les surveille, publie régulièrement des rapports sur la situation épidémiologique, définit des stratégies de prévention et de contrôle, et les met en œuvre.

en: Communicable diseases pose a risk to public health. The division monitors these diseases, publishing regular reports on the epidemiological situation, laying down and implementing prevention and control strategies.

de: Übertragbare Krankheiten gefährden die öffentliche Gesundheit. Die Abteilung überwacht diese Krankheiten, publiziert regelmässig Berichte zur epidemiologischen Situation, legt Präventions- und Kontrollstrategien fest und setzt sie um.


regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

fr: plan-de-situation geodonnees-de-base

de: situationsplan geobasisdaten

en: situation-plan official-geodata

it: piano-di-situazione geodati-di-base

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

fr: Diverse Ebenen aus der Amtlichen Vermessung bilden den bekannten Grundbuchplan. Den Katasterplan A4/A3 als PDF können sie ebenfalls hier direkt beziehen.

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

de: Die Lisag AG bewirtschaftet das geografische Informationssystem des Kantons Uri (GIS Uri), ist die verantwortliche Stelle für den ÖREB-Kataster Uri und zudem zuständig für die Durchführung der amtlichen Vermessung auf Urner Kantonsgebiet.

fr: Grundbuchplan Darstellung schwarz-weiss (UR)


administrative-einteilung-ur

envi

it: Ambiente

title_for_slug: administrative-einteilung-ur

fr: repartition-du-plan geodonnees-de-base

de: planeinteilung geobasisdaten

en: plan-division official-geodata

it: WFS-Dienst des Kanton Uri

fr: Die Toleranzstufen sind ein Teil des Datenmodells DM01 und geben an, wie genau die Objekte der AV aufgenommen sein müssen. In den entsprechenden Verordnungen ist definiert, welche Standardabweichungen für die einzelnen Aufnahmepunkte sicherzustellen sind.

fr: Administrative Einteilung (UR)

de: Administrative Einteilung (UR)

en: Administrative Einteilung (UR)

it: Administrative Einteilung (UR)


hoheitsgrenzen-ur

title_for_slug: hoheitsgrenzen-ur

fr: Da der Kanton Uri keine Bezirke hat, bestehen die Hoheitsgrenzen ausschliesslich aus den Gemeindegrenzen.

fr: Hoheitsgrenzen (UR)

de: Hoheitsgrenzen (UR)

en: Hoheitsgrenzen (UR)

it: Hoheitsgrenzen (UR)


bodenbedeckung-ur

title_for_slug: bodenbedeckung-ur

fr: couverture-du-sol geodonnees-de-base

de: bodenbedeckung geobasisdaten

en: land-cover official-geodata

it: copertura-del-suolo geodati-di-base

fr: Die Informationsebene Bodenbedeckung ist eine generalisierte und kartografisch bearbeitete Darstellung realer Objekte mit flächiger Ausdehnung (Gebäude, Strassen, Gewässer, Wald...).

fr: Bodenbedeckung (UR)

de: Bodenbedeckung (UR)

en: Bodenbedeckung (UR)

it: Bodenbedeckung (UR)


egid-und-gebaudenummer

title_for_slug: egid-und-gebaudenummer

fr: EGID und Gebäudenummer. Jedes Gebäude hat eine vortlaufende Nummer die gemeindeweise eindeutig ist.

fr: EGID und Gebäudenummer

de: EGID und Gebäudenummer

en: EGID und Gebäudenummer

it: EGID und Gebäudenummer


nomenklatur-ur

regi

fr: Régions et villes

title_for_slug: nomenklatur-ur

fr: Flur-, Orts- und Geländenamen (= geografische Namen der amtlichen Vermessung) von geografischen Gebieten, Landschaftsteilen, Flurstücken, topografischen Objekten usw.

fr: Nomenklatur (UR)

de: Nomenklatur (UR)

en: Nomenklatur (UR)

it: Nomenklatur (UR)


fixpunkte-ur

envi

fr: Environnement

title_for_slug: fixpunkte-ur

fr: WMS-Dienst des Kanton Uri

fr: Die Fixpunkte bilden die Grundlage aller Daten mit Raumbezug. Darunter fallen beispielsweise die Daten der amtlichen Vermessung, die Landeskartenwerke, Leitungskataster, Daten in geographischen Informationssystemen, Zonenpläne etc. Es werden generell zwei Punktarten unterschieden: die Lagefixpunkte (LFP) und die Höhenfixpunkte (HFP).

fr: Fixpunkte (UR)

de: Fixpunkte (UR)

en: Fixpunkte (UR)

it: Fixpunkte (UR)


einzelobjekte-ur

title_for_slug: einzelobjekte-ur

fr: WFS-Dienst des Kanton Uri

fr: Die Informationsebene Einzelobjekte umfasst Objekte, die Merkmale der Bodenbedeckung enthalten, welche aufgrund ihrer Eigenschaft oder Ausdehnung aber keine oder unwesentliche flächenmässige Bedeutung haben.

fr: Einzelobjekte (UR)

de: Einzelobjekte (UR)

en: Einzelobjekte (UR)

it: Einzelobjekte (UR)


grundbuchplan-ur

title_for_slug: grundbuchplan-ur

fr: plan-de-situation geodonnees-de-base

fr: Diverse Ebenen aus der Amtlichen Vermessung bilden den bekannten Grundbuchplan. Der Katasterplan A4/A3 als PDF können sie ebenfalls hier direkt beziehen.

fr: Grundbuchplan (UR)

de: Grundbuchplan (UR)

en: Grundbuchplan (UR)

it: Grundbuchplan (UR)


staatsrechnungen-amt

maintainer: Schweizerisches Bundesarchiv BAR

title_for_slug: staatsrechnungen-amt

fr: compte-de-resultats confederation glam budget credit-supplementaire supplement bilan compte-d-etat recettes depenses planification-financiere administration-federale-des-finances finances-federales confederation-suisse openglam avenant

de: ausgaben bilanz staatsrechnung erfolgsrechnung eidgenossische-finanzverwaltung bundeshaushalt budget bund glam einnahmen openglam nachtrag schweizerische-eidgenossenschaft finanzplanung voranschlag nachtragskredit

en: state-financial-statements supplementary-credit supplement expenditure statement-of-financial-position glam openglam financial-planning budget federal-finances receipts swiss-confederation confederation statement-of-financial-performance federal-finance-administration

it: preventivo amministrazione-federale-delle-finanze budget glam uscite-bilancio entrate openglam complemento consuntivo credito-aggiuntivo confederazione conto-economico confederazione-svizzera pianificazione-finanziaria

fr: SPARQL Endpoint avec présélection du graphe

en: SPARQL Endpoint with graph preselection

de: SPARQL Endpoint mit Vorauswahl des Graph

media_type: application/sparql-query

format: SPARQL

mimetype: application/sparql-query

mimetype: text/html

fr: Dans le compte d’Etat le Conseil fédéral présente les recettes de l’administration fédérale durant l’exercice précédent et rend compte des dépenses.  L’administration fédérale des finances (AFF) consolide les comptes annuels des départements et des offices et en tire le rapport concernant le compte d’Etat. Ce dernier est approuvé par le Conseil fédéral, et est adressé sous forme imprimée au Parlement, qui en prend acte.  Le Conseil fédéral présente également à l’Assemblée fédérale le budget de l’année suivante, préparé lui aussi par l’AFF. En l’adoptant le Parlement autorise les charges prévues et les dépenses générales en même temps qu’il prend connaissance des rendements et recettes escomptés.  Vous trouvez des données complémentaires et le compte d’Etat actuel sur la page Internet de l’AFF : https://www.efv.admin.ch/efv/fr/home.html.

de: In der Staatsrechnung führt der Bundesrat die Einnahmen der Bundesverwaltung für das abgelaufene Jahr auf und legt Rechenschaft über die Ausgaben ab.  Die Eidgenössische Finanzverwaltung (EFV) konsolidiert die Jahresabschlüsse der Departemente und erarbeitet daraus den Bericht zur Staatsrechnung. Die Rechnung wird vom Bundesrat verabschiedet und geht in gedruckter Form an das Parlament, das sie abnimmt.  Der Bundesrat legt der Bundesversammlung auch das Budget (Voranschlag) für das Folgejahr vor. Auch dieses wird von der EFV vorbereitet. Damit bewilligt das Parlament den geplanten Aufwand sowie die Gesamtausgaben des Bundes und nimmt von der Schätzung der Erträge und Einnahmen Kenntnis.  Ergänzende Angaben und die neuste Staatsrechnung finden Sie auf der Website der EFV: www.efv.admin.ch.

en: In the state financial statements, the Federal Council details the receipts of the federal administration for the previous year and accounts for its expenditure.  The Federal Finance Administration (FFA) consolidates the annual financial statements of the departments and, based on them, compiles the report on the state financial statements. The statements are adopted by the Federal Council and forwarded in printed form to Parliament for approval.  The Federal Council also lays the budget for the following year before the Federal Assembly. This is also prepared by the FFA. By this means, Parliament approves the planned expenses and total expenditure of the Confederation and takes note of the estimate of income and receipts.  Further information and the most recent state financial statements can be found on the FFA website: https://www.efv.admin.ch/efv/en/home.html.

it: Il Consiglio federale gestisce il consuntivo della confederazione per l’anno decorso e depone un resoconto sulle varie uscite.  L’amministrazione federale delle finanze (AFF) consolida i conti annuali dei dipartimenti e da ciò elabora il rapporto del consuntivo. Quest’ultimo verrà approvato dal Consiglio federale ed inviato in forma cartacea al parlamento, che lo approva a sua volta.  Il Consiglio federale sottopone all’assemblea federale il budget (preventivo) anche per l’anno seguente. Tale budget viene anch’esso preparato dall’ AFF. Il parlamento approva in tal modo le spese previste, le uscire totali della confederazione e prende conoscenza della stima dei ricavi e delle entrate.  Sul sito dell’AFF: https://www.efv.admin.ch/efv/it/home.html potete trovare indicazioni supplementari così come il nuovo consuntivo della Confederazione.

administration-federale-des-finances

display_name: administration-federale-des-finances

amministrazione-federale-delle-finanze

display_name: amministrazione-federale-delle-finanze

ausgaben

display_name: ausgaben

avenant

display_name: avenant

bilan

display_name: bilan

bilanz

display_name: bilanz

budget

display_name: budget

bund

display_name: bund

bundeshaushalt

display_name: bundeshaushalt

complemento

display_name: complemento

compte-d-etat

display_name: compte-d-etat

compte-de-resultats

display_name: compte-de-resultats

confederation

display_name: confederation

confederation-suisse

display_name: confederation-suisse

confederazione

display_name: confederazione

confederazione-svizzera

display_name: confederazione-svizzera

consuntivo

display_name: consuntivo

conto-economico

display_name: conto-economico

credit-supplementaire

display_name: credit-supplementaire

credito-aggiuntivo

display_name: credito-aggiuntivo

depenses

display_name: depenses

eidgenossische-finanzverwaltung

display_name: eidgenossische-finanzverwaltung

einnahmen

display_name: einnahmen

entrate

display_name: entrate

erfolgsrechnung

display_name: erfolgsrechnung

expenditure

display_name: expenditure

federal-finance-administration

display_name: federal-finance-administration

federal-finances

display_name: federal-finances

finances-federales

display_name: finances-federales

financial-planning

display_name: financial-planning

finanzplanung

display_name: finanzplanung

glam

display_name: glam

nachtrag

display_name: nachtrag

nachtragskredit

display_name: nachtragskredit

openglam

display_name: openglam

pianificazione-finanziaria

display_name: pianificazione-finanziaria

planification-financiere

display_name: planification-financiere

preventivo

display_name: preventivo

receipts

display_name: receipts

recettes

display_name: recettes

schweizerische-eidgenossenschaft

display_name: schweizerische-eidgenossenschaft

staatsrechnung

display_name: staatsrechnung

schweizerisches-bundesarchiv-bar

fr: En tant que centre de prestations et de compétences de la Confédération pour une gestion durable de l'information, les Archives fédérales suisses évaluent, prennent en charge, mettent en valeur et communiquent tous les documents de la Confédération suisse qui ont une valeur archivistique.

de: Das Schweizerische Bundesarchiv ist das Dienstleistungs- und Kompetenzzentrum des Bundes für nachhaltiges Informationsmanagement. Es bewertet, sichert, erschliesst und vermittelt archivwürdige Unterlagen der Schweizerischen Eidgenossenschaft.

en: The Swiss Federal Archives (SFA) are the Confederation's service and competence centre for lasting information management. They appraise, secure, describe and provide access to archive-worthy records of the Swiss Confederation.

it: L'Archivio federale svizzero è il centro di servizio e competenza della Confederazione per la gestione a lungo termine delle informazioni. In questa funzione è incaricato di valutare, salvaguardare, catalogare e rendere accessibili i documenti di valore archivistico della Confederazione Svizzera.

it: Consuntivo della confederazione - Ufficio


staatsrechnungen-bereich

title_for_slug: staatsrechnungen-bereich

fr: glam depenses recettes compte-de-resultats bilan supplement avenant openglam credit-supplementaire confederation-suisse finances-federales budget administration-federale-des-finances confederation compte-d-etat planification-financiere

de: bund finanzplanung eidgenossische-finanzverwaltung nachtrag ausgaben nachtragskredit einnahmen bundeshaushalt budget erfolgsrechnung staatsrechnung bilanz openglam glam schweizerische-eidgenossenschaft voranschlag

en: supplementary-credit federal-finances statement-of-financial-performance glam receipts budget openglam financial-planning state-financial-statements statement-of-financial-position expenditure swiss-confederation federal-finance-administration supplement confederation

it: preventivo amministrazione-federale-delle-finanze pianificazione-finanziaria openglam complemento uscite-bilancio confederazione glam consuntivo budget confederazione-svizzera conto-economico credito-aggiuntivo entrate

administration-federale-des-finances

display_name: administration-federale-des-finances

amministrazione-federale-delle-finanze

display_name: amministrazione-federale-delle-finanze

ausgaben

display_name: ausgaben

avenant

display_name: avenant

bilan

display_name: bilan

bilanz

display_name: bilanz

budget

display_name: budget

bund

display_name: bund

bundeshaushalt

display_name: bundeshaushalt

complemento

display_name: complemento

compte-d-etat

display_name: compte-d-etat

compte-de-resultats

display_name: compte-de-resultats

confederation

display_name: confederation

confederation-suisse

display_name: confederation-suisse

confederazione

display_name: confederazione

confederazione-svizzera

display_name: confederazione-svizzera

consuntivo

display_name: consuntivo

conto-economico

display_name: conto-economico

credit-supplementaire

display_name: credit-supplementaire

credito-aggiuntivo

display_name: credito-aggiuntivo

depenses

display_name: depenses

eidgenossische-finanzverwaltung

display_name: eidgenossische-finanzverwaltung

einnahmen

display_name: einnahmen

entrate

display_name: entrate

erfolgsrechnung

display_name: erfolgsrechnung

expenditure

display_name: expenditure

it: Consuntivo della confederazione - Dominio


maintainer: Schweizerisches Bundesarchiv

fr: histoire philipp-albert-stapfer openglam pedagogie republique-helvetique helvetique lindas ecole enquete

de: glam helvetik geschichte umfrage philipp-albert-stapfer schulwesen lindas padagogik openglam helvetische-republik

en: philipp-albert-stapfer history teaching helvetic-republic lindas glam openglam schools helvetic-period survey

it: glam openglam philipp-albert-stapfer elvetica-repubblica-elvetica sondaggio storia lindas pedagogia sistema-scolastico

fr: Banque de données avec les résultats de l‘enquête Stapfer : l’enquête Stapfer est une investigation menée sur la situation de l’école dans la République helvétique en 1799. Elle fut initiée par le ministre de l’éducation Philipp Albert Stapfer (1766–1840). Les autorités envoyèrent aux maîtres et (quelques) maîtresses un questionnaire d’env. 60 questions portant sur la situation locale, l’enseignement ainsi que les conditions économiques et personnelles. Les quelques 2'400 réponses manuscrites sont conservées aux Archives fédérales suisses (Archives de l’Helvétique, fonds B0#C.02.3.1)  De 2009 à 2015 une équipe de l’Université de Berne a répertorié les données de l’enquête Stapfer, puis les a transmises aux Archives fédérales, qui gèrent également la page www.stapferenquete.ch.

de: Datenbank mit den Resultaten der Stapfer-Enquête: Die Stapfer-Enquête ist eine einzigartige Umfrage zur Schulsituation in der Helvetischen Republik aus dem Jahr 1799. Als Erziehungsminister initiierte Philipp Albert Stapfer (1766–1840) die Umfrage. Die Behörden sandten den Lehrern und (wenigen) Lehrerinnen einen standardisierten Fragebogen mit rund 60 Fragen über die lokalen Verhältnisse, den Unterricht sowie die personellen und ökonomischen Umstände. Die rund 2‘400 handschriftlichen Antwortbögen befinden sich im Schweizerischen Bundesarchiv (Archiv der Helvetik, Bestand B0#C.02.3.1).  Ein Team der Universität Bern hat die Stapfer-Enquête von 2009 bis 2015 datafiziert und anschliessend dem Bundesarchiv übergeben. Dieses betreibt auch die Seite www.stapferenquete.ch.

en: Database containing the results of the Stapfer-Enquête: The Stapfer-Enquête is a unique survey of the school situation in the Helvetic Republic dating from 1799. It was initiated by education minister Philipp Albert Stapfer (1766–1840). The authorities sent teachers (including, in a small number of cases, female staff) a standardised questionnaire containing some 60 questions on the local situation, teaching, and personal and economic circumstances. The approximately 2,400 handwritten responses are held by the Swiss Federal Archives (Archiv der Helvetik, fonds B0#C.02.3.1).  Between 2009 and 2015, a team from the University of Bern compiled a database of the Stapfer-Enquête which was then passed to the Federal Archives. This work is also documented on the website www.stapferenquete.ch.

it: Banca dati con i risultati dell’inchiesta Stapfer: l’inchiesta Stapfer è un sondaggio unico per la situazione scolastica nella repubblica elvetica dell’anno 1799. Come ministro dell’istruzione, Philipp Albert Stapfer (1766-1840), iniziò il sondaggio. Le autorità mandarono ai professori e alle (poche) professoresse un questionario unificato con circa 60 domande sulle condizioni locali, sull’insegnamento e sulle situazioni personali e economiche. Circa 2'400 fogli di risposta scritti a mano si trovano nell’ Archivio federale svizzero (Archivio dell’elvetica, Fondo B0#C.02.3.1)  Un gruppo dell’università di Berna ha datizzato il sondaggio e in seguito l’ha trasmesso all’archivio federale. Il gruppo gestisce il sito www.stapferenquete.ch.

ecole

display_name: ecole

elvetica-repubblica-elvetica

display_name: elvetica-repubblica-elvetica

enquete

display_name: enquete

geschichte

display_name: geschichte

glam

display_name: glam

helvetic-period

display_name: helvetic-period

helvetic-republic

display_name: helvetic-republic

helvetik

display_name: helvetik

helvetique

display_name: helvetique

helvetische-republik

display_name: helvetische-republik

histoire

display_name: histoire

history

display_name: history

lindas

display_name: lindas

openglam

display_name: openglam

padagogik

display_name: padagogik

pedagogia

display_name: pedagogia

pedagogie

display_name: pedagogie

philipp-albert-stapfer

display_name: philipp-albert-stapfer

republique-helvetique

display_name: republique-helvetique

schools

display_name: schools

schulwesen

display_name: schulwesen

sistema-scolastico

display_name: sistema-scolastico

sondaggio

display_name: sondaggio

storia

display_name: storia

survey

display_name: survey

teaching

display_name: teaching

umfrage

display_name: umfrage

schweizerisches-bundesarchiv-bar

fr: Archives fédérales suisses AFS

de: Schweizerisches Bundesarchiv BAR

en: Swiss Federal Archives SFA

it: Archivio federale svizzero AFS

value: LINDAS DCAT Harvester BAR

fr: Enquête Stapfer: l’école en Suisse, 1799 (RDF)

de: Stapfer-Enquête: Schule in der Schweiz 1799 (RDF)

en: The Stapfer-Enquête: schooling in Switzerland 1799 (RDF)

it: Inchiesta Stapfer: scuole in Svizzera 1799 (RDF)


amtliche-vermessung-zg

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: amtliche-vermessung-zg

label: ZugMap.ch, der öffentliche Geodaten-Viewer des GIS Kanton Zug

de: geodienste.ch - WFS Amtliche Vermessung

de: geodienste.ch WMS Amtliche Vermessung (MOpublic)

de: Die amtliche Vermessung – ein nationales Produkt – liefert geometrische Daten zum Grundeigentum und ist die Grundlage für viele weitere geografische Informationen und Anwendungen in Wirtschaft, Verwaltung und Privatleben.

spatial: Kanton Zug (ZG)

name: Amt für Grundbuch und Geoinformation des Kantons Zug

gis-kanton-zug

fr: GIS Kanton Zug

de: GIS Kanton Zug

en: GIS Kanton Zug

de:
Die Abteilung Geoinformation ist das kantonale Kompetenzzentrum für Geoinformation im Kanton Zug.
Wir sind eine zukunftsorientierte Dienstleistungseinheit für die Verwaltung, Werke, Bürgerinnen und Bürger, Wirtschaft und Politik. Kantonale und kommunale Amtsstellen erhalten von uns Unterstützung bei Ihren GIS-Projekten.
Wir sorgen für die Einhaltung einheitlicher Standards bei der Erstellung von Datenmodellen und beim Einsatz der benötigten Software. Beim Beschaffen, Verwalten, Visualisieren, Bearbeiten, und Verteilen der Geodaten arbeiten wir eng mit den Fachämtern zusammen.

value: ZG-Kt - Geocat Harvester

de: Amtliche Vermessung ZG