maintainer: Stephanie Mayer

en: snow-stratigraphy rutschblock snow-profiles failure-layer snowpack-simulation snowpack snow-instability

en: SWISS data set: Properties of observed snow profiles and simulated failure layers

en: For each profile pair from the SWISS data set, this file contains one row with information on the observed snow stability and all extracted features describing the simulated failure layers. Please note that only those profile pairs which fulfilled the similarity criteria (column similarity_obs_sim = 1, 121 profiles) were used to validate the RF model. The content of the columns is explained in Table 1 of the ReadMe file.

en: DAV data set: Properties of observed snow profiles and simulated failure layers

en:
For each profile pair from the DAV data set, this file contains one row with information on the observed snow stability and all extracted features describing the simulated failure layers. The content of the columns is explained in Table 1 of the ReadMe file. Only those profile pairs which fulfilled predefined similarity criteria (column
"similarity_obs_sim" = 1) and which belonged to the stability classes "stable" and "unstable" (column "stability_class"
= 0 or 1) were used to train the RF model. Please note that for each of the two snow profiles with RB score 7 (profile
IDs 7228 and 9526), three additional layers were included in this data set to obtain a balanced set of training data (73
unstable and 73 stable profiles).

en: Observed snow profiles

en: Observed snow stratigraphy in form of one *.csv-file per snow profile from the DAV and SWISS data sets (in respective subfolders). Each file is named after the profile ID which allows identifying the corresponding simulated profile in the "simulated_profiles" folder. One row corresponds to one observed snow layer. The content of the columns is described in Table 2 of the ReadMe file.

en: ReadMe

en: ReadMe file explaining data structure and content

en: Simulated snow profiles

en: Simulated snow stratigraphy in form of one *.csv-file per snow profile from the DAV and SWISS data sets (in respective subfolders). Each file is named after the profile ID which allows identifying the corresponding observed profile in the "observed_profiles" folder. One row corresponds to one simulated snow layer. The content of the columns 1-7 is described in Table 3 of the ReadMe file. The remaining columns (8-31) contain all features that were used in the development of the RF model and are described in Table 1 of the ReadMe file.

en:
This data set includes information on all observed and simulated snow profiles that were used to train and validate the
random forest model described in Mayer et al. (2022). The RF model was trained to assess snow instability from simulated snow stratigraphy. The data set contains observed snow profiles from the region of Davos (DAV subset, 512 profiles) and from all over Switzerland (SWISS subset, 230 profiles). For each observed snow profile, there is a corresponding simulated profile which was obtained using meteorological input data for the numerical snow cover model SNOWPACK. The information on the observed snow profile contains a Rutschblock test result including the depth of the failure interface. As part of the study described in Mayer et al. (2022), each observed snow profile was manually compared to its simulated counterpart and the simulated layer corresponding to the Rutschblock failure layer was identified.

The data are provided in the following form: one file each per observed and simulated snow profile (2x512 files DAV, 2x230 files SWISS), two files (1 file DAV, 1 file SWISS) containing the observed information on snow instability, the allocation between observed and simulated failure layer, and all features extracted from the simulated weak layers that were used to develop the RF model.

failure-layer

display_name: failure-layer

rutschblock

display_name: rutschblock

snow-instability

display_name: snow-instability

snow-profiles

display_name: snow-profiles

snow-stratigraphy

display_name: snow-stratigraphy

snowpack

display_name: snowpack

snowpack-simulation

display_name: snowpack-simulation

en: Observed and simulated snow profile data


state: active

type: dataset

format: SERVICE

en:
Dry weight (mass) of branches with a diameter of at least 7 cm from living trees and shrubs starting at 12cm dbh.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

accessible-forest-without-shrub-forest

display_name: accessible-forest-without-shrub-forest

biogeographical-region

display_name: biogeographical-region

canton

display_name: canton

conifers-broadleaves

display_name: conifers-broadleaves

economic-region

display_name: economic-region

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

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.

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.

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: Mass of merchantable branches of live trees


intratrait

maintainer: Christian Rixen

title_for_slug: intratrait

en: neighbour-interactions climate-change cold-adapted-plants plant-traits elevation-gradient elevation-range

media_type: text/csv

en: Plant trait data along elevation gradients on mountains

format: CSV

en:
This data set was used to test whether species specialized to high elevations or with narrow elevational ranges show more conservative (i.e. less variable) trait responses across their elevational distribution, or in response to neighbours, than species from lower elevations or with wider elevational ranges. We did so by studying intraspecific trait variation of 66 species along 40 elevational gradients in four countries (Switzerland, Australia, New Zealand, China) in both hemispheres. As an indication of potential neighbour interactions that could drive trait variation, we also analysed plant species’ height ratio, its height relative to its nearest neighbour.
The following traits and parameters were measured and are available in this data set:
As an indication of plant stature, we measured vegetative and generative height, where vegetative height was distance from soil to highest vegetative leaf and generative height was distance to the highest point on the reproductive shoot. As a measure of reproductive investment, we noted the presence of flowers on the randomly chosen individuals (see below). As a measure of individual and genet basal area, we measured individual plant and patch diameters, in two dimensions (along the largest diameter and perpendicular to it). In clonal plant species, plant diameter was equivalent to an individual rosette, whereas patch diameter referred to the whole genet and could represent the size of a tuft, tussock or cushion. For genera with more singular growth forms (e.g., some Gentiana species) plant and patch diameter were the same. The two diameter measurements were made at right angles, allowing estimates of patch and plant areas to be calculated as an ellipse (i.e., area = 0.5 a 0.5 b Π). All traits were measured on ten randomly selected individuals per site. Flower count data was considered in a binary fashion on a per individual basis (because for some species individuals only produce one flower when flowering) so that the presence or absence of flower(s) was a nominal value between 0 and 10 for each species at each site. We then collected at least three leaves (up to 30 for small and light leaves) from each of the first three individuals selected from each species for determination of leaf dry matter content (LDMC) and specific leaf area (SLA). For calculations of LDMC and SLA, fresh leaves were scanned on a flatbed scanner to determine leaf area. Leaves were then weighed on a balance to a precision of +/- 0.001g, prior to being air dried and reweighed with a balance to a precision of +/- 0.0001g. LDMC was calculated by dividing dry leaf mass by fresh leaf mass. SLA was calculated by dividing leaf area by dry leaf mass. Additionally, within an area of 10 cm diameter around the target individual, we determined the tallest neighbouring species and measured its vegetative and generative height, and estimated the percent cover of the target species, other vegetation, rock, and bare soil.
For more details see Rixen et al. 2022, Journal of Ecology.

climate-change

display_name: climate-change

cold-adapted-plants

display_name: cold-adapted-plants

elevation-gradient

display_name: elevation-gradient

elevation-range

display_name: elevation-range

neighbour-interactions

display_name: neighbour-interactions

plant-traits

display_name: plant-traits

en: intratrait


photogrammetric-drone-data-dorfberg

maintainer: Yves Bühler

title_for_slug: photogrammetric-drone-data-dorfberg

en: drone-data dsm photogrammetry snow snow-depth-mapping orthophoto uav snow-distribution

en: Data Access

en:
- 3cm-resolution Orthophoto
- 10cm-resolution DSM
- 10cm-resolution snow depth raster
- original RGB images
- Agisoft Metashape Report

All products are also available as a cloud optimized geotiff.

en: The data was collected with a Wingtra Gen II drone and a Sony RX1R II sensor. In total, 10 flights were conducted at different dates, both in summer and winter. A DSM, an orthophoto, a snow depth raster and the original drone images from every flight are available at a high resolution (10cm and 3cm, respectively).

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow

display_name: snow

snow-depth-mapping

display_name: snow-depth-mapping

snow-distribution

display_name: snow-distribution

uav

display_name: uav

en: Photogrammetric Drone Data Dorfberg


en: airplane uas terrestrial snow-water-equivalent snow-depth satellite photogrammetry

en: Snow depth map UAS (eBee+), Schürlialp, Davos, Switzerland

media_type: image/tiff

en:
Resolution: 0.9 m
Coordinate system: LV95 LHN95

format: TIFF

en: Snow depth map airplane (Ultracam Eagle M3), Dischma valley, Davos, Switzerland

en:
Resolution: 0.5 m
Coordinate system: LV95 LHN95

en: Manual and snow pole measurements, Schürlialp, Davos, Switzerland

media_type: text/plain

en: This text file contains the average value for each manual snow depth measurements and the measured value of the snow pole measurements. The coordinates are in the horizontal Swiss coordinate system LV95. These values are used as reference measurement for comparison 1 as descriped in the paper.

format: TXT

en: Snow depth map satellite (Pléiades), Schürlialp, Davos, Switzerland

en:
Resolution: 2 m
Coordinate system: LV95 LHN95
© CNES 2018, Distribution Airbus DS

en: Snow depth map airplane (Ultracam Eagle M3), Schürilalp, Davos, Switzerland

en:
Resolution: 0.11 m
Coordinate system: LV95 LHN95

en: Snow depth map terrestrial (Canon EOS 750D), Schürlialp, Davos, Switzerland

en:
Resolution 0.11 m
Coordinate system: LV95 LHN95

en: Snow depth map satellite (Pléiades), Dischma valley, Davos, Switzerland

en:
This data set contains the produced snow depth maps as well as the reference data set (manual and snow pole measurements) from our paper "Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping".

Abstract. Snow depth has traditionally been estimated based on point measurements collected either manually or at automated weather stations. Point measurements, though, do not represent the high spatial variability of snow depths present in alpine terrain. Photogrammetric mapping techniques have progressed in recent years and are capable of accurately mapping snow depth in a spatially continuous manner, over larger areas, and at various spatial resolutions. However, the strengths and weaknesses associated with specific platforms and photogrammetric techniques, as well as the accuracy of the photogrammetric performance on snow surfaces have not yet been sufficiently investigated. Therefore, industry-standard photogrammetric platforms, including high-resolution satellites (Pléiades), airplane (Ultracam Eagle M3), Unmanned Aerial System (eBee+ with S.O.D.A. camera) and terrestrial (single lens reflex camera, Canon EOS 750D), were tested for snow depth mapping in the alpine Dischma valley (Switzerland) in spring 2018. Imagery was acquired with airborne and space-borne platforms over the entire valley, while Unmanned Aerial Systems (UAS) and terrestrial photogrammetric imagery was acquired over a subset of the valley. For independent validation of the photogrammetric products, snow depth was measured by probing, as well as using remote observations of fixed snow poles.

When comparing snow depth maps with manual and snow pole measurements the root mean square error (RMSE) values and the normalized median deviation (NMAD) values were 0.52 m and 0.47 m respectively for the satellite snow depth map, 0.17 m and 0.17 m for the airplane snow depth map, 0.16 m and 0.11 m for the UAS snow depth map. The area covered by the terrestrial snow depth map only intersected with 4 manual measurements and did not generate statistically relevant measurements. When using the UAS snow depth map as a reference surface, the RMSE and NMAD values were 0.44 m and 0.38 m for the satellite snow depth map, 0.12 m and 0.11 m for the airplane snow depth map, 0.21 and 0.19 m for the terrestrial snow depth map. When compared to the airplane dataset over a large part of the Dischma valley (40 km2), the snow depth map from the satellite yielded a RMSE value of 0.92 m and a NMAD value of 0.65 m. This study provides comparative measurements between photogrammetric platforms to evaluate their specific advantages and disadvantages for operational, spatially continuous snow depth mapping in alpine terrain over both small and large geographic areas.

airplane

display_name: airplane

satellite

display_name: satellite

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

terrestrial

display_name: terrestrial

uas

display_name: uas

en: Photogrammetric snow depth maps from satellite-, airplane-, UAS and terrestrial platforms from the Davos region (Switzerland)


biomass-of-total-dead-wood

title_for_slug: biomass-of-total-dead-wood

en:
Dry weight (mass) of all deadwood. This consists of the standing dead trees and shrubs starting at 12cm dbh and the lying deadwood starting at 7cm in diameter.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

accessible-forest-without-shrub-forest

display_name: accessible-forest-without-shrub-forest

biogeographical-region

display_name: biogeographical-region

biomass-of-total-dead-wood

display_name: biomass-of-total-dead-wood

canton

display_name: canton

economic-region

display_name: economic-region

ownership

display_name: ownership

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

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: Biomass of total dead wood


maintainer: Jürg Schweizer

en: avalanche-activity danger-level snow-avalanche avalanche-forcasting avalanche-size

en: Readme

media_type: application/pdf

en: The Readme file contains the description of the two data files.

format: PDF

mimetype: application/pdf

en: Avalanche activity data

en: This data file includes data on the avalanche activity per day aggregated from the avalanche data.

mimetype: text/csv

en: Snow avalanche data

en: This data file includes data on the avalanches mapped in the region of Davos.

en:
These data include all avalanches that were mapped in the region of Davos, Switzerland during the winters 1998-1999 to 2018-2019 (21 years), in total 13,918 avalanches, and the corresponding forecast danger level valid on the day of avalanche occurrence, 3533 days and danger ratings in total.

This avalanche activity data set was analysed and results published by Schweizer et al. (2020). They found that the
number of avalanches per day strongly increased with increasing danger level, but avalanche size was poorly related to avalanche danger level.

The data are provided in two files: the first includes the avalanche data (13,918 records); the second includes the avalanche activity per day (3533 records).
Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Schweizer, J., Mitterer, C., Techel, F., Stoffel, A. and Reuter, B., 2020. On the relation between avalanche occurrence and avalanche danger level. The Cryosphere, 14, 737-750, https://doi.org/10.5194/tc-14-737-2020.

avalanche-activity

display_name: avalanche-activity

avalanche-forcasting

display_name: avalanche-forcasting

avalanche-size

display_name: avalanche-size

danger-level

display_name: danger-level

snow-avalanche

display_name: snow-avalanche

en: Snow avalanche data Davos, Switzerland, 1999-2019


maintainer: Lisa Hülsmann

en: forest-inventory primeval-forests mortality-models fagus-sylvatica tree-mortality forest-reserves

en: Ukrainian data

en:
READ ME for

Hülsmann L, Bugmann H, Commarmot B, Meyer P, Zimmermann S, Brang P
Data from: Does one model fit all? Patterns of beech mortality in natural forests of three European regions.
Ecological Applications http://dx.doi.org/10.5061/dryad.h4s6t

Forest inventory data of beech for the development of individual-tree mortality models from strict forests reserves in Switzerland, Germany and Ukraine.

The data package provides the files
CH_reduced: inventory data of the reduced dataset from Switzerland that was used to assess the influence of additional environmental and stand characteristics on beech mortality
CH: inventory data from strict forest reserves in Switzerland
DE: inventory data from strict forest reserves in Germany
UA: inventory data from a primeval beech forest in Ukraine

A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory.
Diameter at breast height: dbh (mm)
Annual relative basal area increment: relBAI (), calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area (Bigler and Bugmann 2004)
Status of the tree: y, 0 = alive, 1 = dead
Length of the mortality period: dt (years)

Additional environmental and stand characteristics were derived for the reduced Swiss dataset.
Note the varying seasonal level of the covariates considering the entire year, the growing season from April to September (G) and the winter month January to March (W).
All climatic covariates were calculated for both the ‘growth’ (2) and the ‘mortality’ period (3). The stand covariates were derived for the second inventory of each record (2).

Mean diameter at breast height: dbh.mean.2 (mm)
Interquartile range of diameter at breast height: dbh.IQR.2 (mm)
Median diameter at breast height: dbh.median.2 (mm)
Basal area per hectare: BA.2 (m2 ha-1)
Number of trees per hectare: N.2 (ha-1)
pH-value: pH ()
Available water capacity in the soil: AWC (mm)
Mean annual precipitation sum: P.2, P.3 (mm)
Mean precipitation sum during growing season: PG.2, PG.3 (mm)
Mean annual air temperature: mT.2, mT.3 (°C)
Mean air temperature during growing season: mTG.2, mTG.3 (°C)
Mean air temperature during winter months: mTW.2, mTW.3 (°C)
Mean growing degree-days: GDD.2, GDD.3 ()
Mean number of months during growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()
Mean annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)
Overall maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 (mm)
Mean of cumulative water deficit during growing season: mDEFcumG.2, mDEFcumG.3 (mm)
Overall maximum of cumulative water deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 (mm)
Percentage of years with at least one month water deficit: percDEF.2, percDEF.3 (%)

en: Swiss data full

en: Swiss data reduced

en: German data

en:
The datasets comprise nearly 19’000 trees of European beech (_Fagus sylvatica_ L.) from unmanaged forests in Switzerland, Germany / Lower Saxony and Ukraine. Tree death was modelled as a function of size and growth, i.e., stem diameter (DBH) and relative basal area increment (relBAI). To explain the spatial and temporal variability in mortality patterns, we considered a large set of environmental and stand characteristics.

 Inventory data
The strict forest reserves in Switzerland and Germany had been established in the period of 1961-1975 and 1971-1974, respectively. Every reserve included up to 10 permanent plots ranging from 0.09 to 1.8 ha in size, with slightly irregular re-measurement intervals. Permanent plots with pure or mixed beech stands were selected from the reserves of both networks. Reserves with considerable wind disturbance during the monitored intervals were excluded from the analysis. In addition to data from the Swiss and German reserves, data from a 10 ha plot in the primeval beech forest Uholka in Western Ukraine including three remeasurements were used. The inventory data provide diameter measurements at breast height (dbh) for revisited trees with a diameter of more than 4, 7 and 6 cm for Switzerland, Germany and Ukraine, respectively.

 Mortality predictors
A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory. As an explanatory variable, the annual relative basal area increment (relBAI) was calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area. Tree dbh in the second inventory was used in addition to relBAI to model tree status (alive or dead) of the third inventory.

To increase the generality of the mortality models, we selected environmental variables that are known to have a considerable influence on growth and mortality of beech. We emphasized the effects of water availability using a large set of drought characteristics that were calculated based on the local site water balance. We also related beech mortality to soil pH, temperature, precipitation and growing degree-days. Additionally, we considered stand characteristics that reflect the development stage, competition and structure of the forests.

 Further information
For further information, refer to Hülsmann _et al_. (2016) Does one model fit all? patterns of beech mortality in natural forests of three European regions. _Ecological Applications_.

fagus-sylvatica

display_name: fagus-sylvatica

forest-inventory

display_name: forest-inventory

forest-reserves

display_name: forest-reserves

mortality-models

display_name: mortality-models

primeval-forests

display_name: primeval-forests

tree-mortality

display_name: tree-mortality

en: Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions


en: fen inter-observer-difference raised-bog pseudoturnover dry-grassland flood-plain vegetation-survey long-term-biodiversity-monitoring observer-error ecological-indicator-value

en: Boch et al. 2022 Applied Vegetation Science - Raw species list and file used for lmer

en: The dataset was used for the paper Boch S, Küchler H, Küchler M, Bedolla A, Ecker KT, Graf UH, Moser T, Holderegger R, Bergamini A (2022) Observer-driven pseudoturnover in vegetation monitoring is context dependent but does not affect ecological inference. Applied Vegetation Science.

en:
This dataset was used to analyze the inter-observer error (i.e. pseudoturnover) in vegetation surveys for the publication Boch S, Küchler H, Küchler M, Bedolla A, Ecker KT, Graf UH, Moser T, Holderegger R, Bergamini A (2022) Observer-driven pseudoturnover in vegetation monitoring is context dependent but does not affect ecological inference. Applied Vegetation Science.
In the framework of the project "Monitoring the effectiveness of habitat conservation in Switzerland", we double-surveyed a total of 224 plots that were marked once in the field and then sampled by two observers independently on the same day. Both observers conducted full vegetation surveys, recording all vascular plant species, their cover, and additional plot information. We then calculated mean ecological indicator values and pseudoturnover.
The excel file contains two sheets:
1) Raw species lists of the 224 plots conducted by two different observers. Woody species are distinguished in three layers: H (herb layer; woody species <0.5 m in height), S (shrub layer; woody species 0.5–3 m in height) and T (tree layer; woody species >3 m in height). "cf." indicates uncertain identification, "aggr." indicates that the plant was identified only to the aggregate level. Cover was estimated for each species using a modified Braun-Blanquet scale (r ≙ <0.1%, + ≙ 0.1% to <1%, 1 ≙ 1% to <5%, 2 ≙ 5% to <25%, 3 ≙ 25% to <50%, 4 ≙ 50% to <75%, 5 ≙ 75% to <100%).
2) File used for the linear mixed effects model.

dry-grassland

display_name: dry-grassland

ecological-indicator-value

display_name: ecological-indicator-value

fen

display_name: fen

flood-plain

display_name: flood-plain

inter-observer-difference

display_name: inter-observer-difference

long-term-biodiversity-monitoring

display_name: long-term-biodiversity-monitoring

observer-error

display_name: observer-error

pseudoturnover

display_name: pseudoturnover

raised-bog

display_name: raised-bog

vegetation-survey

display_name: vegetation-survey

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: Observer-driven pseudoturnover in vegetation surveys


en: icp-forests ozone swiss-forest-lab long-term-forest-ecosystem-research ambient-air-quality

en: Data Request

en:
Measuring air pollutants in forests is important for evaluating the risk for vegetation in areas not covered by conventional air quality monitoring networks. Ozone measurements are carried out at LWF, applying the harmonized methodologies from UNECE/ICP Forests and running under the 1999 Gothenburg Protocol to Abate Acidification, Eutrophication and Ground-level Ozone. Data are also collected on ozone-induced visible symptoms and other ecosystem properties such as tree growth, nutrition, and biodiversity, as well as climate. This makes this long-term monitoring data series essential for impact assessment and air pollution modelling.

 Purpose:

Ozone risk assessment: Continuous measurements of ozone concentrations

 Manual Citation:

 * Schaub M, Calatayud V, Ferretti M, Brunialti G, Lövblad G, Krause G, Sanz MJ, 2016: Part XV: Monitoring of Air Quality. In: UNECE ICP Forests Programme Co-ordinating Centre (ed.): Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests. Thünen Institute of Forest Ecosystems, Eberswalde, Germany, 11 p. + Annex [http://icp-forests.net/page/icp-forests-manual](http://icp-forests.net/page/icp-forests-manual)

 Paper Citation:

 * Schaub M, Häni M, Calatayud V, Ferretti M, Gottardini E (2018) ICP Forests Brief No 3 - Ozone concentrations are decreasing but exposure remains high in European forests. Programme Co-ordinating Centre of ICP Forests, Thu¨nen Institute of Forest Ecosystems. [doi: 10.3220/ICP1525258743000](https://icp-forests.org/pdf/ICPForestsBriefNo2.pdf)

 * Cailleret M, Ferretti M, Gessler A, Rigling A, Schaub M (2018) Ozone effects on European forest growth – towards an integrative approach. Journal of Ecology. [doi:10.1111/1365-2745.12941](https://doi.org/10.1111/1365-2745.12941)

 * Calatayud V and Schaub M (2013) Methods for Measuring Gaseous Air Pollutants in Forests. In: Marco Ferretti and Richard Fischer (Eds). Forest Monitoring: Methods for Terrestrial Investigations in Europe with an Overview of North America and Asia, Vol 12, DENS, UK: Elsevier, 2013, pp. 375-384. [doi:10.1016/B978-0-08-098222-9.00019-4](https://doi.org/10.1016/B978-0-08-098222-9.00019-4)

ambient-air-quality

display_name: ambient-air-quality

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

ozone

display_name: ozone

swiss-forest-lab

display_name: swiss-forest-lab

en: Continuous measurement of O3 LWF


forest-area-by-forest-function

title_for_slug: forest-area-by-forest-function

en: biogeographical-region forest-function production-region ownership forest-area-by-forest-function protection-forest-region accessible-forest-without-shrub-forest terrestrial-grid-nfi3 nfi4b canton nfi3 economic-region forest grid-nfi4-2009-2013 forest-area

en:
The forest area refers to all areas classified as forest according to NFI’s forest definition. The forest definition includes shrub forest.  For each forest function (including no special forest function) identified in the survey of the forestry services, the size of the associated forest area is displayed. One forest region may fulfil several different forest functions and may thus contribute to the forest area for several forest functions.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

accessible-forest-without-shrub-forest

display_name: accessible-forest-without-shrub-forest

biogeographical-region

display_name: biogeographical-region

canton

display_name: canton

economic-region

display_name: economic-region

forest

display_name: forest

forest-area

display_name: forest-area

forest-area-by-forest-function

display_name: forest-area-by-forest-function

forest-function

display_name: forest-function

ownership

display_name: ownership

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

en: Forest area by forest function


maintainer: Leo Gallus Bont

en: qgis-plugin swiss-geodata geoinformation-software digital-planning cable-yarding seilaplan digital-elevation-model swisstopo open-source

en: Herunterladen des DHM von swisstopo Website

en: View video on youtube!

en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. As an alternative to using the ‘Swiss Geo Downloader’ plugin, the DTM can be obtained directly from Swisstopo. In this tutorial we explain step by step how to download the necessary DTM from the Swisstopo Website, and how to use it in QGIS for the digital planning of a cable line using the plugin ‘Seilaplan’. Please note that the tutorial language is German!

Link to the elevation model on the swisstopo website: https://www.swisstopo.admin.ch/de/geodata/height/alti3d.html#technische_details

Link to the rope map website: https://seilaplan.wsl.ch

********************

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Als Alternative zum Swiss Geo Downloader erklären wir in diesem Tutorial Schritt für Schritt, wie man das nötige Höhenmodell von der Swisstopo Webseite herunterladen und in QGIS zur Seillinienplanung verwenden kann.

Link zum Höhenmodell auf der swisstopo Webseite: https://www.swisstopo.admin.ch/de/geodata/height/alti3d.html#technische_details

Link zur Seilaplan-Website: https://seilaplan.wsl.ch

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-software

display_name: geoinformation-software

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geodata

display_name: swiss-geodata

swisstopo

display_name: swisstopo

en: Seilaplan Tutorial: DTM download from swisstopo website


seilaplan

title_for_slug: seilaplan

en: steep-terrain-harvesting cable-planning cable-yarding qgis python catenary-load-path software

en: Seilaplan QGis Plugin v2.0

media_type: application/zip

format: ZIP

en:
Cable-based technologies have been a backbone for harvesting on steep slopes. The layout of a single cable road is challenging because one must identify intermediate support locations and heights that guarantee structural safety and operational efficiency while minimizing set-up and dismantling costs. Seilaplan optimizes the layout of a cable road by
Seilaplan stands for Cable Road Layout Planner. Seilaplan is able to calculate the optimal rope line layout (position and height of the supports) between defined start and end coordinates on the basis of a digital elevation model (DEM).
The program is designed for Central European conditions and is designed on the basis of a fixed suspension rope anchored at both ends. For the calculation of the properties of the load path curve an iterative method is used, which was described by Zweifel (1960) and was developed especially for standing skylines. When testing the feasibility of the cable line, care is taken that 1) the maximum permissible stresses in the skyline are not exceeded, 2) there is a minimum distance between the load path and the ground and 3) when using a gravitational system, there is a minimum inclination in the load path. The solution is selected which has a minimum number of supports in the first priority and minimizes the support height in the second priority.
The newly developed method calculates the load path curve and the forces occurring in it more accurately than tools available on the market to date (status 2019) and is able to determine the optimum position and height of the intermediate supports.
The reason for the more accurate results of the new tool is the assumption that the skyline is anchored at both end points. Forest cable yarders used in Europe have a skyline that is fixed at both ends. The behaviour of fixed-anchored suspension ropes is very difficult to describe mathematically and cannot be solved analytically. For this reason, simplified linearized assumptions have so far been used in the forestry sector, which corresponds to the behaviour of a weight-tensioned suspension rope and is known as the Pestal method (1961). Weight-tensioned suspension ropes are used for passenger transport.
For the calculation of the load path curve we use an iterative method, which was described by Zweifel (1960) and developed especially for fixed anchored suspension ropes. This makes mathematics much more demanding, but leads to more accurate and realistic results. Since there are no current models which describe the installation costs with adequate accuracy, the solution sought is the one which has a minimum number of supports in the first priority and minimises the support height in the second priority (Figure 2). The presented method is the first one, which starts from a fixed anchored supporting rope and identifies the mathematically optimal column layout at the same time. In contrast to methods that assume a weight-tensioned suspension rope, this approach achieves more realistic solutions with longer spans and lower support heights, which ultimately leads to lower installation costs. Background information on rope mechanics and calculation methods is documented in Bont and Heinimann (2012).

License: GNU, General Public License, Version 2 or newer.

Literature:
Bont, L., & Heinimann, H. R. (2012). Optimum geometric layout of a single cable road. European journal of forest research, 131(5), 1439-1448.

cable-planning

display_name: cable-planning

catenary-load-path

display_name: catenary-load-path

python

display_name: python

qgis

display_name: qgis

software

display_name: software

steep-terrain-harvesting

display_name: steep-terrain-harvesting

en: Seilaplan


young-forest-with-browsing-damage

title_for_slug: young-forest-with-browsing-damage

en:
Number of regeneration trees where browsing of the shoots from the previous year was recorded in NFI’s regeneration survey.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

altitudinal-vegetation-zone

display_name: altitudinal-vegetation-zone

avalanches-silvaprotect

display_name: avalanches-silvaprotect

biogeographical-region

display_name: biogeographical-region

canton

display_name: canton

economic-region

display_name: economic-region

landslide-mudflow-silvaprotect

display_name: landslide-mudflow-silvaprotect

main-tree-species-in-young-forest

display_name: main-tree-species-in-young-forest

processes-in-channels-silvaprotect

display_name: processes-in-channels-silvaprotect

production-region

display_name: production-region

rockfall-silvaprotect

display_name: rockfall-silvaprotect

stem-count-of-young-forest

display_name: stem-count-of-young-forest

total-number

display_name: total-number

young-forest-with-browsing-damage

display_name: young-forest-with-browsing-damage

young-plants

display_name: young-plants

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: Young forest with browsing damage


meteorological-measurements-lwf

title_for_slug: meteorological-measurements-lwf

en: swiss-forest-lab icp-forests long-term-forest-ecosystem-research lwf meteorological-measurements

en: Data Request

en:
Continuous measurement of air temperature, relative humidity, wind speed and direction, global radiation, photosynthetic active radiation, UVB radiation, and precipation in an open field very close to the LWF plot as well as air temperature, relative humidity, wind speed, photosynthetic active radiation, and precipitation in the forest below the canopy.

 Purpose:

Recording meteorological conditions

 Manual Citation:

 * Martine Rebetez, Gustav Schneiter, 1997: Meteorologie. In: Brang P. (ed.) Aufnahmeanleitung LWF. Langfristige Waldökosystem-Forschung LWF, 4 S.

 * Raspe S, Beuker E, Preuhsler T, Bastrup-Birk A, 2016: Part IX: Meteorological Measurements. In: UNECE ICP Forests Programme Co-ordinating Centre (ed.): Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests. Thünen Institute of Forest Ecosystems, Eberswalde, Germany, 14 p. + Annex [http://icp-forests.net/page/icp-forests-manual](http://icp-forests.net/page/icp-forests-manual)

 Paper Citation:

 * Martine Rebetez, Georg von Arx, Arthur Gessler, Elisabeth Graf Pannatier, John L. Innes, Peter Jakob, Markéta Jetel, Marlen Kube, Magdalena Nötzli, Marcus Schaub, Maria Schmitt, Flurin Sutter, Anne Thimonier, Peter Waldner, Matthias Haeni, 2018: Meteorological data series from Swiss long-term forest ecosystem research plots since 1997. Annals of Forests Science 75: 41: 1-7. [doi: 10.1007/s13595-018-0709-7](https://doi.org/10.1007/s13595-018-0709-7)

 * Haeni, Matthias; von Arx, Georg; Gessler, Arthur; Graf Pannatier, Elisabeth; Innes, John L; Jakob, Peter; Jetel, Markéta; Kube, Marlen; Nötzli, Magdalena; Schaub, Marcus; Schmitt, Maria; Sutter, Flurin; Thimonier, Anne; Waldner, Peter; Rebetez, Martine (2016): Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF) in Switzerland, from 1996-2016. PANGAEA, [doi: 10.1594/PANGAEA.868390](https://doi.org/10.1594/PANGAEA.868390)

 * Gustav Schneiter, Peter Jakob, Martine Rebetez, 2004: Sieben Jahre meteorologische Datenerfassung im Schweizer Wald. Infoblatt Forschungsbereich Wald, Vol 17: 4-6 [>>>](https://www.parcs.ch/snp/pdf_public/2011_schneiteretal_datenerf_wald_wsl_2004.pdf)

 * Jakob P, Sutter F, Waldner P, Schneiter G (2007) Processing remote gauging-data. In: Gomez J. M., Sonnenschein M., Müller M., Welsch H., Rautenstrauch C. (ed.) Information Technologies in Environmental Engineering ITEE 2007, Third International ICSC Symposium, Springer, Berlin, Heidelberg, 211-220.

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

lwf

display_name: lwf

meteorological-measurements

display_name: meteorological-measurements

swiss-forest-lab

display_name: swiss-forest-lab

en: Meteorological measurements LWF


maintainer: Thorsten Bartels-Rausch

en: chemistry laboratory-study brine snow alpine interface ozone arctic heterogeneous antarctica solution metamorphism reaction

en: Readme file

en: This file shows data, code, and plots.

en: Data Figure 1

en: Data of published Figure

en: Acetone data

en:
intensity of the acetone-water-cluster and water-cluster (as derived by a chemical ionisation mass spectrometer) with time in the carrier gas downstream of packed bed flow tube holding the snow sample or the by-pass, respectively. Time "0" denotes the time when the mass spectrometer data acquisition was started. When the carrier
gas with acetone was passed via the packed bed flow tube, that is switched from by-pass to pass the snow, acetone concentration in the carrier gas rapidly dropped due to surface adsorption and slowly recovered as the adsorption sites saturate. From this, the surface area can be obtained.

en: Matlab Data

en: All data as Matlab mat file

en: Ozone data

en: Trend of ozone mixing ratio ( _O3mixingRatio_ppb_ with time ( _time_s_ ) as measured downstream of the snow sample during the experiments. Time "0" denotes the time when data acquisition with ozone analyser was started. And, ozone (_nOzone_molec_per_s_ ) loss for each experiment with duration of ozone exposure ( _duration_s_ ) of ozone exposure, as derived from the ozone trends shown above. Time "0" denotes the time when the carrier gas with ozone was passed via the snow sample.

en: Matlab Script to view and plot data

en: data list

en: Lists file names, snow sample properties, and flow settings for each data-set.

en: Earth’s snow cover is very dynamic on diurnal time scales. The changes to the snow structure during this metamorphism have wide ranging impacts such as on avalanche formation and on the capacity of surface snow to exchange trace gases with the atmosphere. Here, we investigate the influence of dry metamorphism, which involves fluxes of water vapor, on the chemical reactivity of bromide in the snow. For this, the heterogeneous reactive loss of ozone at a concentration of 5-6E12 molecules cm-3 is investigated in artificial, shock-frozen snow samples doped with 6.2 uM sodium bromide and with varying metamorphism history. The oxidation of bromide in snow is one reaction initiating polar bromine releases and ozone depletions.

alpine

display_name: alpine

antarctica

display_name: antarctica

arctic

display_name: arctic

brine

display_name: brine

chemistry

display_name: chemistry

heterogeneous

display_name: heterogeneous

interface

display_name: interface

laboratory-study

display_name: laboratory-study

metamorphism

display_name: metamorphism

ozone

display_name: ozone

reaction

display_name: reaction

snow

display_name: snow

solution

display_name: solution

en: Data set on bromide oxidation by ozone in snow during metamorphism from laboratory study


maintainer: Bundesamt für Energie BFE

title_for_slug: Schweizerische Elektrizitätsstatistik: Schweizerische Elektrizitätsbilanz - Monatswerte

fr: ogd35-bfe electricite production importation exportation consommation

de: ogd35-bfe elektrizitat produktion import export verbrauch

en: ogd35-bfe electricity production import export

it: ogd35-bfe elettricita produzione importazione esportazione consumo

fr: Statistique suisse de l'électricité: bilan mensuel suisse de l'électricité

it: Statistica svizzera dell'elettricità: bilancio svizzero dell'elettricità - valori mensili

author: Bundesamt für Energie BFE

fr: Cette statistique recense sur une base mensuelle la production, l'importation, l'exportation et la consommation d'électricité en Suisse. Elle présente la production des centrales hydrauliques, des centrales nucléaires, des centrales thermiques classiques et renouvelables. Elle indique la consommation des installations de pompage d'accumulation et les pertes en ligne. Elle est établie dans le cadre de la Statistique de l'électricité, qui fait partie de la statistique publique de la Suisse (base légale: LSF).

de: Die Schweizerische Elektrizitätsbilanz - Monatswerte gibt Auskunft über Produktion, Import / Export und Verbrauch von Elektrizität in der Schweiz auf monatlicher Basis. Bei der Produktion werden Wasserkraftwerke, Kernkraftwerke, konventionell-thermische und erneuerbare Kraftwerke unterschieden. Der Verbrauch der Speicherpumpen und die Leitungsverluste werden ausgewiesen. Die monatliche Elektrizitätsbilanz wird im Rahmen der Elektrizitätsstatistik erstellt, 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

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


maintainer: EnviDat Support

en: antarctica terrestrial-laser-scanning drifting-snow snowmicropen mass-flux meteorological-data

en: Dataset

en: Links to the dataset

en: README

en: Describes the dataset in detail

mimetype: text/plain

en:
This dataset contains the data acquired during the expedition to Princess Elisabeth Antarctica Station in December 2016 and January 2017. The dataset consits of meterorological data, drifting snow mass flux data, SnowMicroPen data and Terrestrial Laser Scanning data.

Please refer to the README for more information about the data.

This dataset is the basis of the following publication:

Sommer, C. G., Wever, N., Fierz, C., and Lehning, M.: Wind-packing of snow in Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-36, in review, 2018.

drifting-snow

display_name: drifting-snow

mass-flux

display_name: mass-flux

meteorological-data

display_name: meteorological-data

snowmicropen

display_name: snowmicropen

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

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: Expedition to Princess Elisabeth Antarctica Station, 2016/2017


maintainer: Frédéric Ducry, Responsable de diffusion

name: Service de la mobilité et de l’aménagement des espaces publics Ville de Lausanne, Gestionnaire de la donnée

label: Métadonnée sur geocat.ch

label: Métadonnée complète sur viageo.ch

fr: Réseau routier du 30km/h de nuit (SHP)

fr: Télécharger sur viageo.ch

format: SHP

fr:
Données du réseau routier du 30km/h de nuit de la commune de Lausanne.
Contient les axes des voies de communication, hors zones modérées déjà existantes, impactés par les restrictions nocturne de vitesse.

spatial: Lausanne

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

lausanne

fr: Ville de Lausanne

fr: Le service de la mobilité et de l’aménagement des espaces publics (MAP) de la Ville de Lausanne publie ses géodonnées sous forme de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises aux conditions générales d'aquisition et d'utilisation des géodonnées de base en libre accès sont listées ici.

political_level: commune

value: Stadt Lausanne - DCAT Harvester

fr: Réseau routier du 30km/h de nuit


ov-haltestellen

title_for_slug: ov-haltestellen

de: bus poi tram ov offentlicher-verkehr

label: geocat.ch permalink

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: WMS Haltestellen

de: Web Map Services WMS

format: WMS

de: WFS Haltestellen

de: Web Feature Services WFS

format: WFS

de: Standorte Tram- und Bushaltestellen sowie Drahtseilbahnstationen in der Stadt Bern und Agglomeration.

spatial: Agglomeration Bern

geoinformation-der-stadt-bern

fr: L’Office du cadastre de la ville de Berne

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

fr: L’Office du cadastre (Geoinformation Stadt Bern) est l’organisme compétent pour la collecte, l’accès et la diffusion d’informations géographiques dans la ville de Berne.

de: Geoinformation Stadt Bern (ehemals Vermessungsamt) ist die Kompetenzstelle für die Beschaffung, den Zugang und die Verbreitung von Geoinformationen in der Stadt Bern.

en: The Surveying Office (Geoinformation Stadt Bern) is the centre of competence in the City of Bern for the procurement of, access to and dissemination of geographic information.

it: L'ufficio del catasto (Geoinformation Stadt Bern) è il centro di competenza per il reperimento, l'accesso e la diffusione di geoinformazioni nella Città di Berna.

value: Geoinformation Stadt Bern - Geocat Harvester

de: ÖV-Haltestellen


envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

fr: Map (Preview) Aperçu map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

en: Map (Preview)  map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Répertoire officiel des localités"

de: WMS-BGDI Dienst, Layer "Amtliches Ortschaftenverzeichnis"

en: WMS-FSDI service, layer "Official index of cities and towns"

it: Servizio WMS-IFDG, strato "Elenco ufficiale delle località"

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: L’article 24 de l’ordonnance sur les noms géographiques (ONGéo) confie à l’Office fédéral de topographie swisstopo la tâche d’établir, de gérer et de publier le nouveau répertoire officiel des localités avec le code postal et le périmètre associés à chacune d’elles. La tenue de ce jeu de données est par conséquent centralisée par swisstopo. Le jeu de données couvre l'intégralité du territoire suisse et peut être obtenu gratuitement (il est actualisé mensuellement). Les données sont publiées depuis le 1er janvier 2024 selon un nouveau modèle de données.

de: Mit Artikel 24 der Verordnung über die geografischen Namen (GeoNV) wurde das Bundesamt für Landestopografie swisstopo beauftragt, das neue amtliche Ortschaftenverzeichnis mit Postleitzahl und Perimeter zu erstellen, zu verwalten und zu veröffentlichen. Dieser Datensatz wird demnach zentral bei swisstopo geführt. Der Datensatz ist flächendeckend über die ganze Schweiz und kann kostenlos bezogen werden (Datensatz wird monatlich nachgeführt). Seit dem 1. Januar 2024 sind die Daten in einem neuen Datenmodell publiziert.

en: In Article 24 of the regulations governing geographic names (GeoNV), the Federal Office of Topography (swisstopo) is commissioned to establish, administer and publish the new official index of cities and towns including postal codes and perimeter. The data are stored centrally at swisstopo.The data set covers all of Switzerland and is available free of charge (Datensatz wird monatlich nachgeführt). I dati sono stati pubblicati in un nuovo modello di dati dal 1° gennaio 2024.

it: Con l’articolo 24 dell’Ordinanza sui nomi geografici (ONGeo) l’Ufficio federale di topografia è stato incaricato di realizzare, amministrare e pubblicare il nuovo elenco ufficiale delle località con il numero postale d’avviamento e il perimetro. Questo set di dati è gestito a livello centralizzato presso swisstopo. Il set di dati è capillare per tutto il territorio svizzero e può essere ottenuto gratuitamente (aggiornato con cadenza mensile). I dati sono stati pubblicati in un nuovo modello di dati dal 1° gennaio 2024.

spatial: Suisse

name: Office fédéral de topographie, mensuration

fr: Office fédéral de topographie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

fr: Le centre de compétence de la Confédération suisse pour les informations géographiques, c'est-à-dire pour la description, la représentation et l’archivage de données à référence spatiale.

de: Das Kompetenzzentrum der Schweizerischen Eidgenossenschaft für Geoinformation, d.h. für die Beschreibung, Darstellung und Archivierung von raumbezogenen Geodaten.

en: The centre of competence for the Swiss Confederation responsible for geographical reference data, for instance the description, representation and archiving of geographic spatial data.

it: Il centro d’eccellenza della Confederazione Elvetica per geoinformazione, cioè per la descrizione, rappresentazione e archiviazione dei dati georeferenziati (geodati).

value: Swisstopo - Geocat Harvester

fr: Répertoire officiel des localités avec le code postal et le périmètre

de: Amtliches Ortschaftenverzeichnis mit Postleitzahl und Perimeter

en: Official index of cities and towns including postal codes and perimeter

it: Elenco ufficiale delle località con il numero postale d'avviamento e il perimetro


ov-linien

regi

fr: Régions et villes

de: Regionen und Städte

tran

fr: Transports

de: Verkehr

title_for_slug: ov-linien

de: bus poi tram zug ov offentlicher-verkehr

de: Map (Preview) Stadtplan

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: WMS OeV_Linien

de: WFS OeV_Linien

de: ÖV-Linien in der Stadt Bern und Agglomeration.

de: ÖV-Linien


vegetation-height-model-nfi

maintainer: Christian Ginzler

title_for_slug: vegetation-height-model-nfi

en: 3d photogrammety vegetation-height-model point-cloud forest

en: 2016 Vegetation Height Model NFI

en:
Data 'Vegetation Height Model NFI 2016' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2011 to 2016.

format: GeoTIFF

en: 2012 Vegetation Height Model NFI

en:
Data 'Vegetation Height Model NFI 2012' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2007 to 2012.

en: 2015 Vegetation Height Model NFI

en:
Data 'Vegetation Height Model NFI 2015' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2010 to 2015.

en: Thumbnail

mimetype: image/jpeg

en: 2019 Vegetation Height Model NFI (current)

en:
Data 'Vegetation Height Model NFI 2019' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2013 to 2019.

en: Countrywide Stereo-Image Matching for Updating Digital Surface Models in the Framework of the Swiss National Forest Inventory

en:
A national vegetation height model was calculated for Switzerland using digital aerial images.
We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution
(1 × 1 m and 0.5 x 0.5 m). The DSM was then normalized to obtain the actual
vegetation heights using a digital terrain model (DTM)
based on laser data with the buildings masked out, and to
produce a vegetation height model (VHM). Such a model
will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very
high level of detail. For covering the whole of Switzerland,
we use summer aerial images from six years.

Latest version is from 2019.

forest

display_name: forest

photogrammety

display_name: photogrammety

point-cloud

display_name: point-cloud

vegetation-height-model

display_name: vegetation-height-model

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

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.

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.

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.

en: Vegetation Height Model NFI


ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

en: Environment

fr: Lien vers la distribution des données

de: Link für Datenbezug

en: Link for data download

it: Link per le fonti dei dati

format: HTML

fr: Map (Preview)

de: Map (Preview) Fachportal - map.energie.admin.ch

en: Map (Preview)

fr: Géoportail thématique - map.energie.admin.ch

de: Fachportal - map.energie.admin.ch

en: Thematic geoportal - map.energie.admin.ch

it: Geoportale tematico - map.energie.admin.ch

protocol: WWW:DOWNLOAD:OGC Geopackage (GPKG)

fr: Geopackage

de: Geopackage

en: Geopackage

it: Geopackage

format: GPKG

protocol: WWW:DOWNLOAD:TEXT, comma separated (CSV)

de: Weiterführende Informationen: Fahrzeuge

de: Weiterführende Informationen: Energie

de: Weiterführende Informationen: Weitere

fr: Les détenteurs de véhicules branchés (véhicules électriques à batterie et hybrides plug-in) ont des besoins de recharge différents. On distingue cinq besoins de recharge : la recharge à domicile, la recharge sur le lieu de travail, la recharge dans le quartier, la recharge à destination, la recharge rapide. Le terme "besoin de charge" désigne le besoin en énergie chargée. Recharge à domicile : les places de stationnement privées dans les parkings couverts seront-elles largement électrifiées ? Recharge sur le lieu de travail : les pendulaires peuvent-ils en principe se recharger sur leur lieu de travail ? Recharge dans le quartier : les propriétaires de véhicules branchés sans places de stationnement privées bénéficient-ils d'une offre de recharge quasi généralisée dans le quartier ? Recharge à destination : une offre de recharge quasi universelle est-elle proposée dans les commerces et les lieux de loisirs ? Recharge rapide : Quel est le besoin de recharge restant pour un réseau de recharge rapide rentable ? Afin de montrer l'étendue des développements possibles, l'OFEN et EBP ont conçu les trois mondes de recharge "Confortable", "Planifié" et "Flexible" pour montrer dans quelle direction l'infrastructure de recharge pourrait évoluer en Suisse (étude OFEN "Comprendre l'infrastructure de recharge 2050"). Les mondes de la recharge décrivent chacun une image cohérente de la manière dont l'infrastructure de recharge pourrait se développer d'ici 2050. Les différents mondes de la recharge servent à analyser l'évolution dans différentes conditions, conditions politiques générales et influence variable des principaux moteurs. Hormis la recharge à domicile, les processus de recharge ne se déroulent pas exactement là où le véhicule est enregistré, mais ailleurs, par exemple sur le lieu de travail, à la destination, dans le quartier ou aux points de recharge rapide. Afin de modéliser le besoin de recharge par besoin de recharge de manière différenciée dans l'espace, une simulation basée sur des agents est réalisée avec les flux de trafic du modèle national de transport de personnes selon le motif de déplacement (travail, loisirs, trajets professionnels, etc.). Le besoin de charge agrégé par besoin de charge est modélisé pour l'ensemble des quelque 8'000 zones de circulation de Suisse. Remarque : le besoin de recharge sur une zone donnée diffère donc du besoin en électricité des véhicules connectés immatriculés dans cette zone. La base de données contient les futurs besoins de recharge (absolus en GWh ainsi que relatifs en %) des véhicules branchés (voitures de tourisme électriques à batterie et hybrides plug-in). Les données sont disponibles de manière régionalisée au niveau de la zone de transport, de la commune et du canton, par tranches de 5 ans, de 2025 à 2050. On distingue trois mondes de recharge (pratique, planifié et flexible), qui représentent un éventail de développements possibles en Suisse.

de: Halterinnen und Halter von Steckerfahrzeugen (batterie-elektrische Fahrzeugen und Plug-in Hybride) haben unterschiedliche Ladebedürfnisse. Es werden fünf Ladebedürfnisse unterschieden: Laden zu Hause, Laden am Arbeitsplatz, Laden im Quartier, Laden am Zielort, Schnell-Laden. Mit dem Begriff Ladebedarf ist der Bedarf an geladener Energie gemeint. Laden zu Hause: Werden private Abstellplätze in Einstellhallen weitgehend elektrifiziert? Laden am Arbeitsplatz: Können Pendlerinnen und Pendler prinzipiell am Arbeitsplatz laden? Laden im Quartier: Entsteht für Halterinnen und Halter von Steckerfahrzeugen ohne private Abstellplätze ein nahezu flächendeckendes Ladeangebot im Quartier? Laden am Zielort: Entsteht ein nahezu flächendeckendes Ladeangebot bei Einkaufs- und Freizeiteinrichtungen? Schnell-Laden: Wie viel Ladebedarf bleibt für ein rentables Schnell-Ladenetz übrig? Um die Bandbreite möglicher Entwicklungen aufzuzeigen, haben das BFE und EBP die drei Ladewelten «Bequem», «Geplant» und «Flexibel» entworfen, um zu zeigen, in welche Richtung sich die Ladeinfrastruktur in der Schweiz entwickeln könnte (BFE-Studie «Verständnis Ladeinfrastruktur 2050»). Die Ladewelten beschreiben ein jeweils in sich konsistentes Abbild, wie sich die Ladeinfrastruktur bis 2050 entwickeln könnte. Die verschiedenen Ladewelten dienen dazu, die Entwicklung unter verschiedenen Voraussetzungen, politischen Rahmenbedingungen und unterschiedlichem Einfluss wichtiger Treiber zu analysieren. Die Ladevorgänge finden abgesehen vom Laden zu Hause nicht genau dort statt, wo das Fahrzeug registriert ist, sondern anderswo, z.B. am Arbeitsplatz, am Zielort, im Quartier oder an Schnell-Ladepunkten. Um den Ladebedarf je Ladebedürfnis räumlich differenziert zu modellieren, wird eine agentenbasierte Simulation mit den Verkehrsflüssen des nationalen Personenverkehrsmodells nach Verkehrszweck (Arbeit, Freizeit, Dienstwege, etc.) durchgeführt. Der aggregierte Ladebedarf je Ladebedürfnis wird für alle rund 8'000 Verkehrszonen der Schweiz modelliert. Hinweis: Der Ladebedarf auf einem Gebiet unterscheidet sich daher vom Strombedarf der immatrikulierten Steckerfahrzeugen in diesem Gebiet. Der Datenbestand enthält den zukünftigen Ladebedarf (absolut in GWh sowie relativ in %) der Steckerfahrzeuge (batterie-elektrische Personenwagen und Plug-in-Hybride). Die Daten sind regionalisiert auf Ebene Verkehrszone, Gemeinde und Kantone in 5-Jahresschritten von 2025 bis 2050 verfügbar. Es werden drei Ladewelten unterschieden (Bequem, Geplant und Flexibel), welche einen Fächer von möglichen Entwicklungen in der Schweiz darstellen.

en: Owners of plug-in vehicles (battery electric vehicles and plug-in hybrids) have different charging needs. There are five different charging needs: charging at home, charging at work, charging in the neighbourhood, charging at the destination and fast charging. The term charging demand refers to the need for charged energy. Charging at home: Are private parking spaces in car parks largely electrified? Charging at work: Can commuters in principle charge at work? Charging in the neighbourhood: Will there be a virtually comprehensive charging offer in the neighbourhood for owners of plug-in vehicles without private parking spaces? Charging at the destination: Is there an almost nationwide charging offer at shopping and leisure facilities? Fast charging: How much charging demand remains for a viable rapid charging network? To show the range of possible developments, the SFOE and EBP have designed the three charging worlds "Convenient", "Planned" and "Flexible" to show the direction in which the charging infrastructure in Switzerland could develop (SFOE study "Understanding charging infrastructure 2050"). The charging worlds each describe a consistent picture of how the charging infrastructure could develop by 2050. The different charging worlds serve to analyse the development under different conditions, political framework conditions and the varying influence of important drivers. Apart from charging at home, the charging processes do not take place exactly where the vehicle is registered, but elsewhere, e.g. at the workplace, at the destination, in the neighbourhood or at fast charging points. In order to model the charging demand per charging need in a spatially differentiated manner, an agent-based simulation is carried out with the traffic flows of the national passenger transport model according to transport purpose (work, leisure, business trips, etc.). The aggregated charging demand per charging need is modelled for all of Switzerland's approximately 8,000 traffic zones. Note: The charging demand in an area therefore differs from the electricity demand of the registered plug-in vehicles in this area. The database contains the future charging demand (absolute in GWh and relative in %) of plug-in vehicles (battery-electric cars and plug-in hybrids). The data is available in regionalised form at transport zone, municipality and canton level in 5-year increments from 2025 to 2050. A distinction is made between three charging worlds (Convenient, Planned and Flexible), which represent a range of possible developments in Switzerland.

it: I proprietari di veicoli plug-in (veicoli elettrici a batteria e ibridi plug-in) hanno esigenze di ricarica diverse. Esistono cinque diverse esigenze di ricarica: ricarica a casa, ricarica al lavoro, ricarica nel quartiere, ricarica a destinazione e ricarica rapida. Il termine domanda di ricarica si riferisce al bisogno di energia di ricarica. Ricarica a casa: i posti auto privati nei parcheggi sono in gran parte elettrificati? Ricarica al lavoro: in linea di principio, i pendolari possono ricaricare al lavoro? Ricarica nel quartiere: ci sarà un'offerta di ricarica pressoché completa nel quartiere per i proprietari di veicoli plug-in che non dispongono di un parcheggio privato? Ricarica a destinazione: esiste un'offerta di ricarica quasi nazionale presso le strutture commerciali e ricreative? Ricarica veloce: Quanta domanda di ricarica rimane per una rete di ricarica rapida praticabile? Per illustrare la gamma di possibili sviluppi, l'UFE e l'EBP hanno progettato i tre mondi di ricarica "Conveniente", "Pianificato" e "Flessibile" per mostrare la direzione in cui potrebbe svilupparsi l'infrastruttura di ricarica in Svizzera (studio UFE "Understanding charging infrastructure 2050"). I mondi di ricarica descrivono ciascuno un quadro coerente di come potrebbe svilupparsi l'infrastruttura di ricarica entro il 2050. I diversi mondi di ricarica servono ad analizzare lo sviluppo in condizioni diverse, le condizioni quadro politiche e la diversa influenza di importanti fattori. A parte la ricarica a casa, i processi di ricarica non avvengono esattamente nel luogo in cui il veicolo è immatricolato, ma altrove, ad esempio sul posto di lavoro, a destinazione, nel quartiere o presso i punti di ricarica rapida. Per modellare la domanda di ricarica per necessità di ricarica in modo spazialmente differenziato, viene effettuata una simulazione basata su agenti con i flussi di traffico del modello nazionale di trasporto passeggeri in base allo scopo del trasporto (lavoro, tempo libero, viaggi d'affari, ecc.). La domanda di ricarica aggregata per ogni esigenza di ricarica viene modellata per tutte le circa 8.000 zone di traffico della Svizzera. Nota: la domanda di ricarica in un'area differisce quindi dalla domanda di elettricità dei veicoli plug-in registrati in tale area. Il database contiene la futura domanda di ricarica (assoluta in GWh e relativa in %) dei veicoli plug-in (auto elettriche a batteria e ibride plug-in). I dati sono disponibili in forma regionalizzata a livello di zona di trasporto, comune e cantone con incrementi di 5 anni dal 2025 al 2050. Si distingue tra tre mondi di ricarica (Conveniente, Pianificata e Flessibile), che rappresentano una gamma di possibili sviluppi in Svizzera.

spatial: Schweiz

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

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).

fr: Besoin en électricité pour les véhicules branchés pour l'année 2035

de: Ladebedarf: Strombedarf für Steckerfahrzeuge für das Jahr 2035

en: Electricity requirements for plug-in vehicles for the year 2035

it: Fabbisogno di elettricità per i veicoli plug-in per l'anno 2035


regi

de: Regionen und Städte

envi

fr: Environnement

it: Ambiente

it: Map (Preview)

fr: Un point de recharge est une installation de recharge de véhicules branchés (véhicules électriques à batterie et hybrides rechargeables) qui permet de recharger un seul véhicule à la fois. Un point de charge correspond donc à une prise qui alimente un parking avec une possibilité de charge. Toutes les données se rapportent à des points de charge [nombre de points de charge]. On distingue différentes options de recharge, qui se différencient en fonction des besoins de recharge (recharge à domicile, recharge au travail, recharge dans le quartier, recharge à destination, recharge rapide) ainsi que du type de recharge (courant alternatif AC, courant continu DC) et de la puissance de recharge (en kilowatts [kW]). Les points de recharge pour la recharge dans le quartier, la recharge à destination et la recharge rapide sont désignés globalement comme points de recharge accessibles à tous. Le besoin de recharge agrégé par besoin de recharge est modélisé pour l'ensemble des quelque 8'000 zones de circulation de Suisse. Le nombre de points de recharge nécessaires pour couvrir les besoins de recharge dépend du réseau de recharge actuel (DIEMO, état des données 2022) et de l'utilisation supposée des points de recharge (taux d'utilisation) à l'avenir. Le taux d'utilisation indique la quantité d'énergie de charge fournie par jour, respectivement par an, par un point de charge (par rapport à la quantité maximale de courant pouvant être fournie à ce point de charge). Le taux d'utilisation des points de charge varie selon l'option de charge. Un point de recharge rapide délivre beaucoup plus de courant par an qu'un point de recharge sur le lieu de travail. Les hypothèses relatives à l'utilisation future des points de recharge par option de recharge ont été convenues avec les experts techniques (étude de l'OFEN "Comprendre l'infrastructure de recharge 2050"). Afin de montrer l'éventail des développements possibles, l'OFEN et EBP ont conçu trois mondes de recharge : "Confortable", "Planifié" et "Flexible", afin de montrer dans quelle direction l'infrastructure de recharge pourrait évoluer en Suisse. Les mondes de la recharge décrivent chacun une image cohérente de la manière dont l'infrastructure de recharge pourrait se développer d'ici 2050. Les différents mondes de la recharge servent à analyser l'évolution en fonction de différentes conditions, du cadre politique et de l'influence variable des principaux moteurs. La base de données contient les futurs besoins en points de recharge [nombre de points de recharge] par option de recharge des véhicules branchés (voitures de tourisme électriques à batterie et hybrides rechargeables). Les données sont disponibles de manière régionalisée au niveau de la zone de transport, de la commune et du canton, par tranches de 5 ans, de 2025 à 2050. On distingue trois mondes de recharge (pratique, planifié et flexible), qui représentent un éventail de développements possibles en Suisse.

de: Ein Ladepunkt ist eine Einrichtung zum Laden von Steckerfahrzeugen (batterie-elektrische Fahrzeugen und Plug-in Hybride), an welcher zur selben Zeit ein einziges Fahrzeug geladen werden kann. Ein Ladepunkt entspricht damit einem Stecker, der einen Parkplatz mit einer Lademöglichkeit versorgt. Alle Daten beziehen sich auf Ladepunkte [Anzahl Ladepunkte]. Es werden verschiedene Ladeoptionen unterschieden, welche sich aufgrund der Ladebedürfnisse (Laden zu Hause, Laden am Arbeitsplatz, Laden im Quartier, Laden am Zielort, Schnell-Laden) sowie der Ladeart (Wechselstrom AC, Gleichstrom DC) und Ladeleistung (in Kilowatt [kW]) differenzieren. Die Ladepunkte fürs Laden im Quartier, Laden am Zielort und Schnell-Laden werden aggregiert als allgemein zugängliche Ladepunkte bezeichnet. Der aggregierte Ladebedarf je Ladebedürfnis wird für alle rund 8'000 Verkehrszonen der Schweiz modelliert. Wie viele Ladepunkte benötigt werden, um den Ladebedarf zu decken, hängt vom heutigen Ladenetz (DIEMO, Datenstand 2022) und von der angenommenen Auslastung der Ladepunkte (Utilisation Rate) in Zukunft ab. Die Utilisation Rate gibt an, wie viel Ladeenergie pro Tag, respektive pro Jahr über einen Ladepunkt abgegeben wird (im Verhältnis zur maximal möglichen Stromabgabe an diesem Ladepunkt). Die Auslastung der Ladepunkte ist je Ladeoption unterschiedlich. An einem Schnell-Ladepunkt wird pro Jahr viel mehr Strom abgegeben als an einem Ladepunkt am Arbeitsplatz. Die Annahmen zur zukünftigen Auslastung der Ladepunkte je Ladeoption wurde mit den Fachexpertinnen und -experten abgestimmt (BFE-Studie «Verständnis Ladeinfrastruktur 2050»). Um die Bandbreite möglicher Entwicklungen aufzuzeigen, haben das BFE und EBP die drei Ladewelten «Bequem», «Geplant» und «Flexibel» entworfen, um zu zeigen, in welche Richtung sich die Ladeinfrastruktur in der Schweiz entwickeln könnte. Die Ladewelten beschreiben ein jeweils in sich konsistentes Abbild, wie sich die Ladeinfrastruktur bis 2050 entwickeln könnte. Die verschiedenen Ladewelten dienen dazu, die Entwicklung unter verschiedenen Voraussetzungen, politischen Rahmenbedingungen und unterschiedlichem Einfluss wichtiger Treiber zu analysieren. Der Datenbestand enthält den zukünftigen Bedarf an Ladepunkten [Anzahl Ladepunkte] je Ladeoption der Steckerfahrzeuge (batterie-elektrische Personenwagen und Plug-in-Hybride). Die Daten sind regionalisiert auf Ebene Verkehrszone, Gemeinde und Kantone in 5-Jahresschritten von 2025 bis 2050 verfügbar. Es werden drei Ladewelten unterschieden (Bequem, Geplant und Flexibel), welche einen Fächer von möglichen Entwicklungen in der Schweiz darstellen.

en: A charging point is a facility for charging plug-in vehicles (battery electric vehicles and plug-in hybrids) at which a single vehicle can be charged at the same time. A charging point therefore corresponds to a plug that supplies a car park with a charging facility. All data refers to charging points [number of charging points]. A distinction is made between various charging options, which differ according to the charging requirements (charging at home, charging at work, charging in the neighbourhood, charging at the destination, fast charging) as well as the charging type (alternating current AC, direct current DC) and charging power (in kilowatts [kW]). The charging points for charging in the neighbourhood, charging at the destination and fast charging are aggregated and referred to as generally accessible charging points. The aggregated charging demand per charging requirement is modelled for all of Switzerland's approximately 8,000 traffic zones. The number of charging points required to cover the charging demand depends on the current charging network (DIEMO, data status 2022) and the assumed utilisation of the charging points (utilisation rate) in the future. The utilisation rate indicates how much charging energy is delivered per day or per year via a charging point (in relation to the maximum possible electricity output at this charging point). The utilisation rate of the charging points varies depending on the charging option. Much more electricity is supplied per year at a fast charging point than at a workplace charging point. The assumptions regarding the future utilisation of charging points per charging option were agreed with the technical experts (SFOE study "Understanding charging infrastructure 2050"). To illustrate the range of possible developments, the SFOE and EBP have designed the three charging worlds "Convenient", "Planned" and "Flexible" to show the direction in which the charging infrastructure in Switzerland could develop. The charging worlds each describe a consistent picture of how the charging infrastructure could develop by 2050. The different charging worlds serve to analyse the development under different conditions, political framework conditions and the varying influence of important drivers. The database contains the future demand for charging points [number of charging points] per charging option for plug-in vehicles (battery-electric cars and plug-in hybrids). The data is available regionalised at transport zone, municipality and canton level in 5-year increments from 2025 to 2050. A distinction is made between three charging worlds (Convenient, Planned and Flexible), which represent a range of possible developments in Switzerland.

it: Un punto di ricarica è una struttura per la ricarica di veicoli plug-in (veicoli elettrici a batteria e ibridi plug-in) presso la quale è possibile caricare contemporaneamente un singolo veicolo. Un punto di ricarica corrisponde quindi a una presa che alimenta un parcheggio con una struttura di ricarica. Tutti i dati si riferiscono ai punti di ricarica [numero di punti di ricarica]. Si distingue tra varie opzioni di ricarica, che si differenziano in base alle esigenze di ricarica (ricarica a casa, ricarica al lavoro, ricarica nel quartiere, ricarica a destinazione, ricarica rapida), al tipo di ricarica (corrente alternata AC, corrente continua DC) e alla potenza di ricarica (in kilowatt [kW]). I punti di ricarica per la ricarica nel quartiere, la ricarica a destinazione e la ricarica rapida sono aggregati e indicati come punti di ricarica generalmente accessibili. La domanda di ricarica aggregata per requisito di ricarica viene modellata per tutte le circa 8.000 zone di traffico della Svizzera. Il numero di punti di ricarica necessari per coprire la domanda di ricarica dipende dalla rete di ricarica attuale (DIEMO, stato dei dati 2022) e dall'utilizzo previsto dei punti di ricarica (tasso di utilizzo) in futuro. Il tasso di utilizzo indica quanta energia di ricarica viene erogata al giorno o all'anno attraverso un punto di ricarica (in relazione alla massima potenza elettrica possibile di questo punto di ricarica). Il tasso di utilizzo dei punti di ricarica varia a seconda dell'opzione di ricarica. In un punto di ricarica veloce viene fornita molta più elettricità all'anno rispetto a un punto di ricarica sul posto di lavoro. Le ipotesi sull'utilizzo futuro dei punti di ricarica per ogni opzione di ricarica sono state concordate con gli esperti tecnici (studio SFOE "Understanding charging infrastructure 2050"). Per illustrare la gamma di possibili sviluppi, l'UFE e l'EBP hanno progettato i tre mondi di ricarica "Conveniente", "Pianificato" e "Flessibile" per mostrare la direzione in cui potrebbe svilupparsi l'infrastruttura di ricarica in Svizzera. I mondi di ricarica descrivono ciascuno un quadro coerente di come potrebbe svilupparsi l'infrastruttura di ricarica entro il 2050. I diversi mondi di ricarica servono ad analizzare lo sviluppo in condizioni diverse, le condizioni quadro politiche e la diversa influenza di importanti fattori. Il database contiene la domanda futura di punti di ricarica [numero di punti di ricarica] per opzione di ricarica per i veicoli plug-in (auto elettriche a batteria e ibride plug-in). I dati sono disponibili a livello regionale per zone di trasporto, comuni e cantoni, con incrementi di 5 anni dal 2025 al 2050. Si distingue tra tre mondi di ricarica (Conveniente, Pianificata e Flessibile), che rappresentano una gamma di possibili sviluppi in Svizzera.

fr: Nombre de points de recharge accessibles à tous dans l'univers de recharge «confortable» pour l'année 2035

de: Ladebedarf: Anzahl allgemein zugängliche Ladepunkte in der Ladewelt «Bequem» für das Jahr 2035

en: Number of generally accessible charging points in the ‘Convenient’ charging world for the year 2035

it: Numero di punti di ricarica generalmente accessibili nel mondo della ricarica “conveniente” per l'anno 2035