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

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: Observed and simulated snow profile data


maintainer: EnviDat Support

en: cmip5 orographic-precipitation climate-change air-temperature precipitation-amount

state: active

type: dataset

en: Download Server

format: SERVICE

en:
Predicting future climatic conditions at high spatial resolution is essential for many applications in science. Here we present data for monthly time series of precipitation and minimum and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation sums at ~5km spatial resolution globally for the years 1850-2100. We validated the performance of the downscaling algorithm by comparing model output with observed climates for the years 1950-2069.

CHELSA_cmip5_ts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

climate-change

display_name: climate-change

orographic-precipitation

display_name: orographic-precipitation

precipitation-amount

display_name: precipitation-amount

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

it: Istruzione, cultura e sport

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: High resolution monthly precipitation and temperature timeseries for the period 2006-2100


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

photogrammetry

display_name: photogrammetry

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)


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.

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

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: 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

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


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

en: Biomass of total dead wood


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

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


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

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: Snow avalanche data Davos, Switzerland, 1999-2019


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


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


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

educ

en: Education, culture and sport

en: Forest area by forest function


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

cable-yarding

display_name: cable-yarding

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

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: Seilaplan


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


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

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

en: Young forest with browsing damage


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.

antarctica

display_name: antarctica

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

en: Expedition to Princess Elisabeth Antarctica Station, 2016/2017


ov-linien

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: ov-linien

de: bus poi tram zug 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 OeV_Linien

de: Web Map Services WMS

format: WMS

de: WFS OeV_Linien

de: Web Feature Services WFS

format: WFS

de: ÖV-Linien 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.

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: ÖV-Linien


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

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

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


regi

en: Regions and cities

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).

political_level: confederation

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-haltestellen

regi

de: Regionen und Städte

tran

de: Verkehr

en: Transport

title_for_slug: ov-haltestellen

de: bus poi tram ov offentlicher-verkehr

de: Map (Preview) Stadtplan

en: Map (Preview)

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

de: WMS Haltestellen

de: WFS Haltestellen

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

geoinformation-der-stadt-bern

en: The Land Surveying Office of the City of 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.

de: ÖV-Haltestellen


envi

de: Umwelt

de: boden bodennutzung fruchtfolgeflache landwirtschaft landwirtschaftliche-nutzung lebensraum okologie raumplanung

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Potentielle Eignungsgebiete für die Bodenverbesserung für Fruchtfolgeflächen-Kompensation und deren potentielle Konflikte

spatial: Kanton Luzern

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

political_level: canton

value: LU-Kt - Geocat Harvester

de: Fruchtfolgeflächen-Kompensation: Eignungsgebiete für Bodenverbesserung


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


zonenplane-gewasserraum

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

en: Environment

title_for_slug: zonenplane-gewasserraum

de: fliessgewasser gewasserschutz nutzungsplanung oberflachengewasser raumplanung zonenplan

de: Gewässerraum aus den Zonenplan-Überlagerungen, unterschieden nach Freihaltezone und Grünzone.

spatial: Schweiz

en: Geoinformation Canton of Lucerne

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Zonenpläne: Gewässerraum


statistische-daten-zur-stadt-bern

maintainer: Statistik Stadt Bern, Junkerngasse 47, Postfach, 3000 Bern 8, Tel. +41 31 321 75 31

title_for_slug: statistische-daten-zur-stadt-bern

de: stadt-bern stadtverwaltung statistik

fr: [DE: Statistische Daten zur Stadt Bern]

de: Statistische Daten zur Stadt Bern

en: [DE: Statistische Daten zur Stadt Bern]

it: [DE: Statistische Daten zur Stadt Bern]

author: Statistik Stadt Bern

label: Verordnung über die Statistik in der Stadt Bern (Statistikverordnung; STAV)

label: Charta der öffentlichen Statistik der Schweiz

label: Statistik Stadt Bern

format: XLS

fr: [DE: Daten gegliedert nach den Kategorien der öffentlichen Statistik der Schweiz]

stadt-bern

display_name: stadt-bern

stadtverwaltung

display_name: stadtverwaltung

statistik

display_name: statistik

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

just

fr: Justice, système juridique et sécurité publique

de: Justiz, Rechtssystem und öffentliche Sicherheit

en: Justice, legal system and public safety

it: Giustizia, sistema giuridico e sicurezza pubblica

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

statistik-stadt-bern

de: Statistik Stadt Bern

de: Statistik Stadt Bern stellt den politischen Behörden, der Verwaltung sowie der Öffentlichkeit statistische Informationen und Analysen über die Stadt Bern zur Verfügung. Der Bereich Statistik ist zuständig für die Durchführung statistischer Erhebungen in der Stadt Bern und für die Koordination der Statistik in der Stadtverwaltung.


zonenplane

envi

fr: Environnement

de: Umwelt

it: Ambiente

title_for_slug: zonenplane

de: baulinie eigentumsbeschrankungoreb grundeigentum nutzungsplanung raumplanung zonenplan

de: Datenshop

de: Produktansicht Geodatenshop

de: Zonenpläne sind grundeigentümerverbindlich und regeln die zulässige Art der Bodennutzung im Gebiet einer Gemeinde.

de: Geoinformation Kanton Luzern

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

de: Zonenpläne


grundwasserwarmenutzungspotenzial

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

ener

de: Energie

regi

de: Regionen und Städte

title_for_slug: grundwasserwarmenutzungspotenzial

protocol: WWW:DOWNLOAD:OGC Geopackage (GPKG)

de: Geopackage

format: ogc geopackage (gpkg)

de: swisstopo REST API

fr: Service WMS-IFDG, couche ""

de: WMS-BGDI Dienst, Layer "grundwasserwaermenutzungspotenzial"

en: WMS-FSDI service, layer ""

it: Servizio WMS-IFDG, strato ""

fr: Map (Preview)

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

en: Map (Preview)

it: 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

fr: L'énergie thermique stockée dans les eaux souterraines peut être utilisée à des fins de chauffage. Les installations de pompes à chaleur sur eau de nappe permettent d'extraire la chaleur de l'eau de nappe et de la transmettre au système de chauffage. Le potentiel des eaux souterraines pour le chauffage est important et peut être évalué. Le potentiel d'utilisation de la chaleur des eaux souterraines dans les aquifères de roches meubles de Suisse a été évalué à l'aide d'une approche de bilan thermique. Cette approche consiste à déterminer la chaleur utilisable à partir d'un bilan thermique simplifié en tenant compte des changements à long terme. Les eaux souterraines sont considérées comme un système ouvert, c'est-à-dire qu'il y a un échange de chaleur avec l'atmosphère, l'hydrosphère et la géosphère. Le potentiel d'utilisation de la chaleur calculé est considéré comme une chaleur utilisable durablement à moyen terme. Il convient de noter que seul le potentiel de production de chaleur à partir des eaux souterraines a été pris en compte, les éventuelles utilisations à des fins de refroidissement ou de stockage saisonnier de la chaleur n'ont pas été considérées. Les installations d'exploitation existantes n'ont pas non plus été prises en compte. Les bases pour le calcul ont été fournies par les cantons et la Confédération. Le jeu de géodonnées "Potentiel d'utilisation de la chaleur des eaux souterraines dans les aquifères de roches meubles de Suisse" indique la chaleur maximale utilisable durablement à moyen terme que l'on peut prélever dans les eaux souterraines.

de: Die im Grundwasser gespeicherte thermische Energie kann für Heizzwecke benutzt werden. Mit Grundwasser-Wärmepumpenanlagen kann die Wärme aus dem Grundwasser entnommen und ans Heizsystem abgegeben werden. Das Potenzial von Grundwasser fürs Heizen ist gross und kann abgeschätzt werden. Das Grundwasser-Wärmenutzungspotenzial in den Lockergesteins-Grundwasserleitern der Schweiz wurde anhand eines Wärmebilanz-Ansatzes abgeschätzt. Dabei wird die nutzbare Wärme aus einer vereinfachten Wärmebilanz unter Betrachtung langfristiger Veränderungen ermittelt. Das Grundwasser wird als offenes System betrachtet, d.h. es findet ein Wärmeaustausch mit Atmosphäre, Hydrosphäre und Geosphäre statt. Das ermittelte Wärmenutzungspotenzial wird als mittelfristig nachhaltig nutzbare Wärme betrachtet. Es ist zu beachten, dass nur das Potenzial für die Wärmegewinnung aus dem Grundwasser berücksichtigt wurde, allfällige Nutzungen zu Kühlzwecken oder zur saisonalen Wärmespeicherung wurden nicht berücksichtigt. Bestehende Nutzungsanlagen wurden auch nicht berücksichtigt. Grundlagen für die Berechnung wurden von den Kantonen und vom Bund zugestellt. Der Geodatensatz «Grundwasserwärmenutzungspotenzial in den Lockergesteins-Grundwasserleitern der Schweiz» zeigt die maximale mittelfristig nachhaltig nutzbare Wärme, die man aus dem Grundwasser entnehmen kann.

en: The thermal energy stored in groundwater can be used for heating purposes. With groundwater heat pump systems, the heat can be extracted from the groundwater and transferred to the heating system. The potential of groundwater for heating is large and can be estimated. The groundwater heat utilisation potential in Switzerland's unconsolidated aquifers was estimated using a heat balance approach. This involves determining the usable heat from a simplified heat balance, taking long-term changes into account. The groundwater is considered an open system, i.e. heat is exchanged with the atmosphere, hydrosphere and geosphere. The calculated heat utilisation potential is regarded as heat that can be used sustainably in the medium term. It should be noted that only the potential for heat recovery from groundwater was taken into account; any utilisation for cooling purposes or seasonal heat storage was not considered. Existing utilisation plants were also not taken into account. The basis for the calculation was provided by the cantons and the federal government. The geodata set "Groundwater heat utilisation potential in Switzerland's unconsolidated aquifers" shows the maximum sustainable heat that can be extracted from groundwater in the medium term.

it: L'energia termica immagazzinata nelle acque sotterranee può essere utilizzata per il riscaldamento. Con i sistemi a pompa di calore per acque sotterranee, il calore può essere estratto dalle acque sotterranee e trasferito al sistema di riscaldamento. Il potenziale delle acque sotterranee per il riscaldamento è ampio e può essere stimato. Il potenziale di utilizzo del calore delle acque sotterranee negli acquiferi non consolidati della Svizzera è stato stimato utilizzando un approccio di bilancio termico. Si tratta di determinare il calore utilizzabile da un bilancio termico semplificato, tenendo conto dei cambiamenti a lungo termine. Le acque sotterranee sono considerate un sistema aperto, cioè il calore viene scambiato con l'atmosfera, l'idrosfera e la geosfera. Il potenziale di utilizzo del calore calcolato è considerato come calore che può essere utilizzato in modo sostenibile nel medio termine. Va notato che è stato preso in considerazione solo il potenziale di recupero del calore dalle acque sotterranee; non è stato preso in considerazione l'utilizzo per il raffreddamento o l'accumulo stagionale di calore. Anche gli impianti di utilizzo esistenti non sono stati presi in considerazione. La base per il calcolo è stata fornita dai Cantoni e dal Governo federale. Il set di geodati "Potenziale di sfruttamento del calore delle acque sotterranee nelle falde acquifere non consolidate della Svizzera" mostra il calore massimo sostenibile che può essere estratto dalle acque sotterranee a medio termine.

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).

value: BFE - Geocat Harvester

fr: Potentiel d'exploitation de la chaleur des eaux souterraines

de: Grundwasserwärmenutzungspotenzial

en: Groundwater heat utilisation potential

it: Potenziale di utilizzo del calore delle acque sotterranee


ladebedarfsszenarien

educ

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

regi

fr: Régions et villes

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

en: Environment

title_for_slug: ladebedarfsszenarien

de: Steckerfahrzeuge Geopackage

format: GPKG

de: Strombedarf Geopackage

de: Ladepunkte-Geplant Geopackage

de: Ladepunkte-Bequem Geopackage

de: Ladepunkte-Flexibel Geopackage

de: Heimladeverfügbarkeit-Bequem Geopackage

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

de: Weiterführende Informationen: Fahrzeuge

de: Weiterführende Informationen: Energie

de: Weiterführende Informationen: Weitere

fr: La biomasse est une ressource renouvelable pour l'énergie qui peut être transformée en plusieurs formes d'énergie : chaleur, électricité, biogaz ou combustibles liquides. La biomasse est principalement stockable et peut donc être utilisée pour compenser les fluctuations de la production d'énergie éolienne et solaire. Dans le cadre de la mise en oeuvre de la stratégie énergétique, le gouvernement suisse prévoit une augmentation massive de la part des énergies renouvelables. Le Centre de compétences suisse pour la recherche énergétique (SCCER) Biosweet (Biomass for Swiss Energy Future) cherche des solutions aux défis techniques, sociaux et politiques que pose la transition énergétique dans le domaine de la biomasse. L'institut fédéral de recherches sur la forêt, la neige et le paysage (WSL) a quantifié et localisé le potentiel d'importantes ressources de biomasse en Suisse, notamment en ce qui concerne leur disponibilité pour une exploitation durable. Les résultats sont utiles pour (i) optimiser les processus de conversion afin de tenir compte des développements technologiques et (ii) identifier les voies prometteuses d'utilisation de la biomasse et les meilleurs sites pour leur mise en œuvre. Les données (https://www.envidat.ch/dataset/swiss-biomass-potentials) et un rapport détaillé sont disponibles en ligne (https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A13277/datastream/PDF/Thees-2017-Biomassepotenziale_der_Schweiz_f%C3%BCr_die-%28published_version%29.pdf).

de: Welche Ladeinfrastruktur für Steckerfahrzeuge brauchen wir morgen? Und wo genau? Dies kann nur beantworten, wer den künftigen Ladebedarf kennt. Die «Ladebedarfsszenarien» liefern diese Information für jede Schweizer Gemeinde und erleichtern damit die Planung. Die «Ladebedarfsszenarien» brechen den künftigen Ladebedarf der Schweiz auf einzelne Gemeinden herunter. Das Werkzeug geht damit einen Schritt weiter als die Studie «Verständnis Ladeinfrastruktur 2050», auf der es basiert. Damit eröffnen sich Gemeinden, Ladenetzbetreibern, Verteilnetzbetreibern und der Immobilienwirtschaft neue Möglichkeiten zum Planen, Investieren und Entscheiden – und zwar auf einer datengestützten Grundlage. Sie gibt Hinweise darauf, wo künftig Ladepunkte gefragt sein werden, wie leistungsfähig sie sein müssen und wie viel Energie sie benötigen. Die wichtigsten Parameter sind in Karten aufbereitet: Sie zeigen unter anderem, wie viele Steckerfahrzeuge in einer bestimmten Gemeinde zu erwarten sind und wie viele allgemein zugängliche Ladepunkte nötig sein werden. Schlüsseljahr ist 2035, denn bis dahin werden Steckerfahrzeuge mehr als die Hälfte aller zugelassenen Fahrzeuge ausmachen. Die Daten können als Geopackages (.gpkg-File) heruntergeladen werden. Zudem sind sämtliche Rohdaten (.csv-File) aus der Studie «Verständnis Ladeinfrastruktur 2050» verfügbar, beispielsweise die Leistungsfähigkeit und Dichte des Ladenetzes, die kumulierte installierte Leistung von Ladeinfrastrukturen oder die Neuzulassungen von Personenwagen. Die Daten reichen in Fünfjahresschritten bis ins Jahr 2050 und bieten sich für eigene Berechnungen an. Die Annahmen für die verschiedenen Ladewelten basieren auf einem Stakeholder-Prozess, der dem Werkzeug «Verständnis Ladeinfrastruktur 2050» zugrunde liegt. Es stellt den aktuellen Branchenkonsens verschiedenster Nutzergruppen dar und wird regelmässig aktualisiert. Die simulierten Daten sind das Ergebnis von Algorithmen und der Modelllandschaft von EBP. Die Rohdaten liegen nicht nur für Gemeinden vor, sondern auch für rund 8000 Verkehrszonen und Kantone. Ausserdem sind viele weitere Attribute verfügbar, etwa die geladene Energie pro Ladebedürfnis, die Verfügbarkeit der Ladeinfrastruktur zu Hause oder am Arbeitsplatz, die Anzahl Ladepunkte je Ladeoption sowie die installierte Ladeleistung in Gebäuden und an allgemein zugänglichen Ladepunkten sowie die Leistungsfähigkeit des allgemein zugänglichen Ladenetzes.

en: What charging infrastructure for plug-in electric vehicles will we need tomorrow? And where exactly? This can only be answered by knowing the future charging requirements. The “charging demand scenarios” provide this information for each Swiss municipality and thus facilitate planning. The “charging demand scenarios” break down Switzerland's future charging demand into each individual municipality. The tool thus goes one step further than the “Understanding charging infrastructure 2050” study on which it is based. This opens up new opportunities for municipalities, charging network operators, distribution network operators and the real estate industry to plan, invest and make decisions on a data-driven basis. It provides information on where charging points will be in demand in the future, how powerful they need to be and how much energy they require. The most important parameters are presented in maps: Among other things, they show how many plug-in electric vehicles can be expected in a specific municipality and how many generally accessible charging points will be needed. The key year is 2035, because by then plug-in electric vehicles will account for more than half of all registered vehicles. The data can be downloaded as geopackage files (.gpkg). All raw data (.csv file) from the “Understanding charging infrastructure 2050” study is also available, such as the performance and density of the charging network, the cumulative installed capacity of charging infrastructure and new car registrations. The data extends in five-year increments up to the year 2050 and is suitable for our own calculations. The assumptions for the various charging worlds are based on a stakeholder process underlying the “Understanding charging infrastructure 2050” tool. It represents the current industry consensus of various user groups and is updated regularly. The simulated data is the result of algorithms and the EBP model landscape. The raw data is not only available for municipalities, but also for around 8000 traffic zones and cantons. Many other attributes are also available, such as the energy charged per charging requirement, the availability of charging infrastructure at home or at work, the number of charging points per charging option and the installed charging capacity in buildings and at generally accessible charging points, as well as the performance of the generally accessible charging network.

it: De quelle infrastructure de recharge pour les véhicules branchés aurons-nous besoin demain ? Et où exactement ? Seules les personnes qui connaissent les besoins futurs en matière de recharge peuvent répondre à ces questions. Les "scénarios des besoins de recharge" fournissent cette information pour chaque commune suisse et facilitent ainsi la planification. Les "scénarios des besoins de recharge" décomposent les futurs besoins de recharge de la Suisse en communes individuelles. L'outil va donc un peu plus loin que l'étude "Comprendre l'infrastructure de recharge 2050", sur laquelle il se base. Il offre aux communes, aux exploitants de réseaux de recharge, aux gestionnaires de réseaux de distribution et au secteur immobilier de nouvelles possibilités de planification, d'investissement et de décision, et ce sur la base de données. Elle donne des indications sur les endroits où les points de charge seront demandés à l'avenir, sur la puissance qu'ils doivent avoir et sur la quantité d'énergie dont ils ont besoin. Les principaux paramètres sont présentés sous forme de cartes : Elles montrent entre autres combien de véhicules branchés sont attendus dans une commune donnée et combien de points de charge accessibles à tous seront nécessaires. L'année clé est 2035, car d'ici là, les véhicules branchés représenteront plus de la moitié de tous les véhicules immatriculés. Les données peuvent être téléchargées sous forme de géopackages (.gpkg-File). De plus, toutes les données brutes (fichier .csv) de l'étude "Comprendre l'infrastructure de recharge 2050" sont disponibles, par exemple la performance et la densité du réseau de recharge, la puissance installée cumulée des infrastructures de recharge ou les nouvelles immatriculations de voitures particulières. Les données s'étendent par tranches de cinq ans jusqu'à l'année 2050 et se prêtent à des calculs propres. Les hypothèses pour les différents mondes de la recharge se basent sur un processus des parties prenantes qui est à la base de l'outil "Compréhension de l'infrastructure de recharge 2050". Il représente le consensus actuel du secteur des groupes d'utilisateurs les plus divers et est régulièrement mis à jour. Les données simulées sont le résultat d'algorithmes et du paysage de modèles d'EBP. Les données brutes ne sont pas seulement disponibles pour les communes, mais aussi pour environ 8000 zones de circulation et cantons. En outre, de nombreux autres attributs sont disponibles, tels que l'énergie chargée par besoin de charge, la disponibilité de l'infrastructure de charge à domicile ou sur le lieu de travail, le nombre de points de charge par option de charge ainsi que la puissance de charge installée dans les bâtiments et aux points de charge accessibles à tous et la performance du réseau de charge accessible à tous.


jahresziele-stadt-st-gallen

title_for_slug: jahresziele-stadt-st-gallen

de: stadtrat dienststellen stadtparlament vision-2030

de: csv

de: Jahresziele Stadt St.Gallen (csv)

license: CC BY

de: Jahresziele Stadt St.Gallen (n3)

de: jsonld

de: Jahresziele Stadt St.Gallen (jsonld)

format: JSON-LD

de: rdfxml

media_type: application/rdf+xml

de: Jahresziele Stadt St.Gallen (rdfxml)

format: RDF XML

de: fgb

de: Jahresziele Stadt St.Gallen (fgb)

format: octet-stream

de: json

media_type: application/json

de: Jahresziele Stadt St.Gallen (json)

format: JSON

de: parquet

de: Jahresziele Stadt St.Gallen (parquet)

de: jsonl

de: Jahresziele Stadt St.Gallen (jsonl)

de: turtle

media_type: text/turtle

de: Jahresziele Stadt St.Gallen (turtle)

format: RDF Turtle

de: xls

de: Jahresziele Stadt St.Gallen (xls)

de: Der Stadtrat der Stadt St.Gallen bestimmt und veröffentlicht Legislatur- und Jahresziele, welche den Handlungsfeldern der Vision 2030 zugeordnet werden. Diese Ziele werden jeweils am Ende des Jahres, bzw. der Legislatur bewertet und im Geschäftsbericht der Stadt St.Gallen veröffentlicht. Der Datensatz zeigt die Jahresziele und die jeweilige Bewertung bei abgeschlossenen Jahren.Mehr Informationen und die jeweiligen PDF-Dokumente finden Sie hier:Stadtrat: Vision 2030 und LegislaturzieleGeschäftsbericht: Legislatur- und Jahresziele, inkl. Bewertung

dienststellen

display_name: dienststellen

stadtparlament

display_name: stadtparlament

stadtrat

display_name: stadtrat

gove

de: Regierung und öffentlicher Sektor

stadt-st-gallen

fr: Ville de Saint-Gall

de: Stadt St.Gallen

en: City of St.Gallen

it: Città di San Gallo

fr: Avec une population de 80 000 habitants, Saint-Gall, huitième ville de Suisse, est la métropole économique, politique, sociale et culturelle de la Suisse orientale. Ses 1400 ans d'histoire se mêlent à la créativité urbaine, à une économie innovante et à un paysage préservé.

en: With a population of 80,000, St.Gallen, Switzerland’s eighth largest city, is the economic, political, social and cultural metropolis of eastern Switzerland. Its 1400 years of history blend with urban creativity, an innovative economy and an unspoilt landscape.

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.

it: Con una popolazione di 80.000 abitanti, San Gallo, l'ottava città più grande della Svizzera, è la metropoli economica, politica, sociale e culturale della Svizzera orientale. I suoi 1400 anni di storia si fondono con la creatività urbana, un'economia innovativa e un paesaggio incontaminato.


deponieanlieferungen-tufentobel

title_for_slug: deponieanlieferungen-tufentobel

de: raumungs-schnee inertstoffe grungut aushub deponie-typ schlacke

de: Deponieanlieferungen Tüfentobel (fgb)

de: Deponieanlieferungen Tüfentobel (xls)

de: jsonld

de: Deponieanlieferungen Tüfentobel (jsonl)

de: csv

de: Deponieanlieferungen Tüfentobel (csv)

de: Deponieanlieferungen Tüfentobel (json)

de: Deponieanlieferungen Tüfentobel (n3)

de: rdfxml

de: Diese Daten von der Entsorgung St.Gallen zeigen die Nutzung der Deponie Tüfentobel auf. Darin ist ersichtlich wie viel, von welcher Sorte Abfall entsorgt wird.

aushub

display_name: aushub

deponie-typ

display_name: deponie-typ

grungut

display_name: grungut

inertstoffe

display_name: inertstoffe

raumungs-schnee

display_name: raumungs-schnee

schlacke

display_name: schlacke

envi

de: Umwelt


de: schulden rechnung verpflichtung

de: jsonl

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (jsonl)

de: json

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (json)

de: parquet

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (parquet)

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (n3)

de: fgb

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (fgb)

de: xls

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (xls)

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (rdfxml)

de: turtle

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (turtle)

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (jsonld)

de: Erträgnisse zugunsten Gläubiger Stadt St.Gallen (2005-2018) (csv)

de: Erträgnisse zugunsten Gläubiger der Stadt St.Gallen (in Mio, Jahre 2005-2018)

rechnung

display_name: rechnung

schulden

display_name: schulden

verpflichtung

display_name: verpflichtung

econ

de: Wirtschaft und Finanzen

value: DCAT Harvester Stadt St. Gallen


de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (json)

de: rdfxml

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (rdfxml)

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (turtle)

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (parquet)

de: csv

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (csv)

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (xls)

de: jsonl

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (jsonl)

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (fgb)

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (n3)

de: jsonld

de: Übersicht Dienstleistungen gegenüber Kundinnen und Kunden der Stadt St.Gallen (jsonld)

de: Der Datensatz zeigt eine Arbeitsversion einer Übersicht über sämtliche Dienstleistungen, welche die Stadt St.Gallen gegenüber Ihren Kundinnen und Kunden erbringt. Ziel ist es, dass die Dienstleistungen durch Open Data besser auffindbar und durchsuchbar werden und an verschiedenen Orten einer Cutomer Journey integriert werden kann. Die Dienstleistungsübersicht ist Grundlage des erweiterten städtischen Online-Schalters.

dienstleistungen

display_name: dienstleistungen

services

display_name: services

smart-government

display_name: smart-government

gove

de: Regierung und öffentlicher Sektor

stadt-st-gallen

de: Stadt St.Gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: verlust finanzen betreibung

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (n3)

de: parquet

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (parquet)

de: rdfxml

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (rdfxml)

de: json

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (json)

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (jsonl)

de: xls

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (xls)

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (jsonld)

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (csv)

de: fgb

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (fgb)

de: turtle

de: Ausgestellte Verlustscheine Stadt St.Gallen (2005-2018) (turtle)

de: Anzahl ausgestellter Verlustscheine der Stadt St.Gallen (Anzahl und in Mio., Jahre 2005-2018)

betreibung

display_name: betreibung

finanzen

display_name: finanzen

verlust

display_name: verlust

econ

de: Wirtschaft und Finanzen


de: organigramm dienststellen direktionen

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (n3)

de: jsonl

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (jsonl)

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (json)

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (rdfxml)

de: csv

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (csv)

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (fgb)

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (xls)

de: parquet

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (parquet)

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (turtle)

de: jsonld

de: Organigramm Stadt St.Gallen (Stand Januar 2021) (jsonld)

de: Der Datensatz zeigt das Organigramm der Stadt St.Gallen. Eine Übersicht aller Direktionen mit den dazugehörigen Dienststellen, sowie den entsprechenden Kurzbezeichnungen. Unter Referenzen finden Sie den Link zum visuell dargestellten Organigramm.

dienststellen

display_name: dienststellen

direktionen

display_name: direktionen

organigramm

display_name: organigramm

gove

de: Regierung und öffentlicher Sektor

stadt-st-gallen

de: Stadt St.Gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: fullstand entsorgung offene-sensordaten sensor

de: fgb

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (fgb)

de: turtle

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (turtle)

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (n3)

de: jsonl

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (jsonl)

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (ov2)

de: kml

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (kml)

format: KML

de: shp

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (shp)

de: rdfxml

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (rdfxml)

de: geojson

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (geojson)

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (parquet)

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (jsonld)

de: gpx

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (gpx)

format: gpx

de: json

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (json)

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (csv)

de: xls

de: Füllstandsensoren Glassammelstellen (Braunglas) Stadt St.Gallen (xls)

de: Die Stadt St.Gallen verfügt über Sensoren in verschiedenen Glassammelstellen der Stadt, welche den Füllstand der Container messen. Dieser Datensatz zeigt die Messwerte der Braunglas-Sammelstellen.

entsorgung

display_name: entsorgung

fullstand

display_name: fullstand

offene-sensordaten

display_name: offene-sensordaten

sensor

display_name: sensor


de: auskunfte betreibung

de: csv

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (csv)

format: CSV

de: parquet

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (parquet)

de: jsonl

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (jsonl)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (rdfxml)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (json)

de: jsonld

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (jsonld)

de: turtle

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (turtle)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (xls)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (n3)

de: fgb

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (fgb)

de: Anzahl der Betreibungsregisterauskünfte der Stadt St.Gallen (2005-2018)

auskunfte

display_name: auskunfte

econ

de: Wirtschaft und Finanzen

stadt-st-gallen

de: Stadt St.Gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


heizgradtage-st-galler-stadtwerke

title_for_slug: heizgradtage-st-galler-stadtwerke

de: heizung klima gas temperatur

de: json

de: Heizgradtage St.Galler Stadtwerke (json)

de: Heizgradtage St.Galler Stadtwerke (jsonld)

de: parquet

de: Heizgradtage St.Galler Stadtwerke (parquet)

de: Heizgradtage St.Galler Stadtwerke (turtle)

de: Heizgradtage St.Galler Stadtwerke (n3)

de: csv

de: Heizgradtage St.Galler Stadtwerke (csv)

de: xls

de: Heizgradtage St.Galler Stadtwerke (xls)

de: Heizgradtage St.Galler Stadtwerke (jsonl)

de: rdfxml

de: Heizgradtage St.Galler Stadtwerke (rdfxml)

de: Heizgradtage St.Galler Stadtwerke (fgb)

de: Die Heizgradtage (HGT) gestatten Rückschlüsse auf den klimabedingten Heizenergieverbrauch und dienen der Kontrolle der Heizanlage. Dazu wird an jedem Heiztag - einem Tag mit einer Tagesmitteltemperatur kleiner oder gleich 16 Grad Celsius - erhoben, um wie viel die gemessene Aussenlufttemperatur von der angestrebten Innenlufttemperatur von 20 Grad Celsius abweicht.Die monatlichen Heizgradtage sind die Summe der Differenzen zwischen Aussenlufttemperatur und angestrebter Innenlufttemperatur für alle Heiztage des Monats.Werden die Heizgradtage zur Splittung der Nebenkosten verwendet ist zu bedenken, dass der Warmwasserbedarf nicht über denselben Verteilschlüssel abgerechnet werden kann. Der Warmwasserbedarf ist nicht abhängig von den Heizgradtagen und in deren Betrachtung nicht enthalten.

gas

display_name: gas

heizung

display_name: heizung

klima

display_name: klima

temperatur

display_name: temperatur

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

de: Heizgradtage St.Galler Stadtwerke