en:
Naturally, large parts of the Swiss Plateau are characterised by wetlands
and meandering rivers. That this is no longer the case today is the result
of centuries of efforts to obtain dry land. But how did this process take
place? What were the relevant actors and what were their motivations? And
what can be said about the ecological consequences of this development?
In a research project on the history of wetlands in Switzerland since 1700,
we conducted (a) a historical analysis of the development of land use in
wetlands and the actors involved, (b) a historical-cartographic
reconstruction of wetland extent since 1850 and (c) an evaluation of
ecological effects of changes in wetlands on various organisms groups.
The series of GIS layers on wetland history stem from the second part of
the project. The area reconstruction is based on digitized and homogenized
signatures from national map series, as they have been available since
about 1850. Details about the digitalization process and the homogenization
procedures applied ("Rekonstruktionen") are included in Stuber & Bürgi
2019.
Book Citation:
 - Stuber M, Bürgi M (2019) Vom «eroberten Land» zum Renaturierungsprojekt. Geschichte der Feuchtgebiete in der Schweiz seit 1700. "Bristol Schriftenreihe", Band 59. Haupt Verlag, Bern, Stuttgart, Wien. 262 Seiten.

en: switzerland historical-carthography ecology environmental---history wetlands environmental--policy

envidat

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: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

de: EnviDat

en: History of wetlands in Switzerland since 1850

envi

de: Umwelt

ecology

display_name: ecology

environmental---history

display_name: environmental---history

environmental--policy

display_name: environmental--policy

historical-carthography

display_name: historical-carthography

switzerland

display_name: switzerland

wetlands

display_name: wetlands


$oid: OBSOLETE

en: Mircocosm experiment to identify the individual patterns and controls of C, N, and P mobilization in soils under beech forests. Organic and mineral horizons sampled along a nutrient availability gradient in Germany were exposed to either permanent moist conditions or to dry spells in microcosms and quantified the release of inorganic and organic C, N, and P.

en: forest nitrogen drying-rewetting soil dissolved-organic-matter carbon stoichiometry mineralization phosphorus

envidat

approval_status: approved

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.

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

en: Data Broedlin CNP

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

en: Environment

fr: Environnement

it: Ambiente

de:
Resource Title: Data Broedlin-CNP-Release
    Size: 1249259 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/9dd9a649-405d-413a-ad44-d859ea084bba/resource/2ec747a1-3a2b-4743-b89f-db13a372c49f/download/broedlin_et_al_cnp_rawdata_v2.xlsx
    Description: Raw data of C-N-P mobilization experiment from Oi, Oe/Oa, and A horizons of beech forest soils along a nutrient availability gradient.

format: XLS

de:
Resource Title: Data Broedlin-CNP
    Size: 1189635 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/9dd9a649-405d-413a-ad44-d859ea084bba/resource/c4fce049-b79d-495f-a44d-94f1d59b913a/download/broedlin_cnp_rawdata.xlsx
    Description:

carbon

display_name: carbon

dissolved-organic-matter

display_name: dissolved-organic-matter

drying-rewetting

display_name: drying-rewetting

forest

display_name: forest

mineralization

display_name: mineralization

nitrogen

display_name: nitrogen

phosphorus

display_name: phosphorus

soil

display_name: soil

stoichiometry

display_name: stoichiometry


en: This dataset contains the classification and localization results obtained during the automatic classification of avalanches during the winter season 2017.

en: localization seismic machine-learning monitoring avalanche

en: Automatic Classification of Avalanches

avalanche

display_name: avalanche

localization

display_name: localization

machine-learning

display_name: machine-learning

monitoring

display_name: monitoring

seismic

display_name: seismic


en:
Daily discharge and the related hydro-meteorological variables precipitation, snowmelt, and soil moisture are provided for current (1981-2017) and for future climate conditions (1981-2100) for 307 medium-sized catchments in Switzerland. The catchments have a median catchment area of 117 km². The 307 catchments together form a set representative of the climatological conditions and runoff characteristics in Switzerland. The four variables were simulated at a daily resolution using the hydrological model PREVAH. PREVAH is a conceptual process-based model that was run in this study in its fully distributed version on a 500 m grid (Viviroli et al. 2009a). For the calibration, runoff time series from 140 mesoscale catchments covering the different runoff regimes were used. The model calibration was conducted over the period 1993-1997. Verification was performed on the period 1983-2005 using (i) volumetric deviation (Viviroli et al. 2007) and (ii) benchmark efficiency (Schäfli et al 2007) as objective functions. The calibration and validation procedures are described in detail in Köplin et al. (2010). The parameters for each model grid cell were derived by regionalizing the parameters obtained for the 140 catchments with a procedure based on ordinary kriging (Viviroli et al. 2009b, Köplin et al. 2010).
The calibrated and validated model was then driven with transient meteorological data (precipitation, temperature, radiation, and wind) representing both reference (1981-2017) and future climate conditions (2018-2099). The data were derived from the CH2018 climate scenarios (NCCS 2018) provided by the Swiss National Centre for Climate Services (NCCS). They were obtained from climate experiments produced with different climate modeling chains, consisting of a global and a regional circulation model each, within EUROCORDEX  for three representative concentration pathways (RCP) emission scenarios. Downscaled output of ten climate model chains derived by quantile mapping were considered. The focus was on the chains of the EUR-11 domain with a horizontal resolution of 0.11 degrees (roughly 12.5 km). The climate model chains (GCM, RCM, RCP, and grid resolution) used are listed below:
- ICHEC-EC-EARTH	DMI-HIRHAM5	2.6	EUR-11
- ICHEC-EC-EARTH	DMI-HIRHAM5	4.5	EUR-11
- ICHEC-EC-EARTH	DMI-HIRHAM5	8.5	EUR-11
- ICHEC-EC-EARTH	SMHI-RCA4	2.6	EUR-11
- ICHEC-EC-EARTH	SMHI-RCA4	4.5	EUR-11
- ICHEC-EC-EARTH	SMHI-RCA4	8.5	EUR-11
- MOHC-HadGEM2-ES	SMHI-RCA4	4.5	EUR-11
- MOHC-HadGEM2-ES	SMHI-RCA4	8.5	EUR-11
- MPI-M-MPI-ESM-LR	SMHI-RCA4	4.5	EUR-11
- MPI-M-MPI-ESM-LR	SMHI-RCA4	8.5	EUR-11
*References*:
-	Köplin, N., D. Viviroli, B. Schädler, and R. Weingartner (2010), _How does climate change affect mesoscale catchments in Switzerland? - A framework for a comprehensive assessment_, Advances in Geosciences, 27, 111-119, doi:10.5194/adgeo-27-111-2010.
-	National Centre for Climate Services (2018), CH2018 - _Climate Scenarios for Switzerland_, Tech. rep., NCCS, Zurich.
-	Schäfli, B., and H. V. Gupta (2007), _Do Nash values have value?_, Hydrological Processes, 21, 2075-2080, doi:10.1002/hyp.6825.
-	Viviroli, D., J. Gurtz, and M. Zappa (2007), _The hydrological modelling system PREVAH.  Part II - Physical model description_, Geographica Bernensia, 40, 1-89.
-	Viviroli, D., M. Zappa, J. Gurtz, and R. Weingartner (2009a), _An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools_, Environmental Modelling & Software, 24, 1209-1222, doi:10.1016/j.envsoft.2009.04.001.
-	Viviroli, D., H. Mittelbach, J. Gurtz, and R. Weingartner (2009b), _Continuous simulation  for flood estimation in ungauged mesoscale catchments of Switzerland-Part II: Parameter regionalisation and flood estimation results_, Journal of Hydrology, 377 (1), 208-225, doi:10.1016/j.jhydrol.2009.08.022.

en: climate-change precipitation snowmelt discharge soil-moisture hydrology

en: Simulated future discharge and climatological variables for medium-sized catchments in Switzerland

de:
Resource Title: Shapefile of 307 catchments in Switzerland
    Size: 103266 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6c1c0a28-a23f-4777-88b2-982841adb9b8/resource/05c1a038-40c2-423a-8ad9-f11b43689cf1/download/catchment_shapes.zip
    Description: Shapefile of the 307 medium-sized catchments in Switzerland. The "gridcode" provides the ID of the catchment used in the datafiles.

format: ZIP

media_type: application/zip

de:
Resource Title: Daily simulated data for the reference period
    Size: 31447784 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6c1c0a28-a23f-4777-88b2-982841adb9b8/resource/a67b4308-25ca-47ea-9aed-f529b8dc7f4d/download/reference.zip
    Description: Daily simulated discharge, precipitation, snowmelt, and soil moisture for the reference period 1981-2017 in mm.

de:
Resource Title: Daily simulated data for the future period
    Size: 1010416415 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6c1c0a28-a23f-4777-88b2-982841adb9b8/resource/be17bcca-3f34-414f-960e-bcbdd855ba81/download/climate_simulations.zip
    Description: Daily simulated discharge, precipitation, snowmelt, and soil moisture for the period 1981-2100 in mm for the 307 catchments.

climate-change

display_name: climate-change

discharge

display_name: discharge

hydrology

display_name: hydrology

precipitation

display_name: precipitation

snowmelt

display_name: snowmelt

soil-moisture

display_name: soil-moisture


en: The dataset provides simulated 1) precipitation, 2) discharge, 3) soil moisture, and 4) low-flow simulations for 307 medium-sized catchments in Switzerland for the period 1981-2018. The data were simulated using the hydrological model PREVAH in its gridded-version. The simulated time series are provided at daily resolution. A detailed description of the modeling approach can be found in Brunner et al. 2019 submitted to NHESS.

en: prevah hydrological-simulations precipitation discharge drought-2018 soil-moisture low-flow

en: Hydro-meteorological simulations for the period 1981-2018 for Switzerland

de:
Resource Title: Discharge
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/4c11fec4-0846-48a0-8dfe-9f7f5a4b574f/download/discharge.txt
    Description: Simulated discharge for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

format: TXT

media_type: text/plain

de:
Resource Title: Shapefile of 307 catchments in Switzerland
    Size: 103266 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/7ebed8a1-98ce-4833-b1dd-64246bd07e5f/download/catchment_shapes.zip
    Description: Shapefile of 307 catchments for which simulations of precipitation, discharge, soil moisture, and low flow are provided. The OBJECTID entry corresponds to the data columns in the textfiles of the simulated data provided.

de:
Resource Title: Soil moisture
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/0ad6127b-f7d6-4356-9ac4-283166385578/download/soil_moisture.txt
    Description: Simulated plant-available soil moisture for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

de:
Resource Title: Precipitation
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/0f551cfd-804d-4f3a-80d9-c33562ea8b45/download/precipitation.txt
    Description: Simulated precipitation for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

de:
Resource Title: Low-flow storage
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/a1338c95-09df-4bce-8d9c-7b059ae2f6a1/download/low_flow.txt
    Description: Simulated low-flow storage for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

hydrological-simulations

display_name: hydrological-simulations

low-flow

display_name: low-flow

prevah

display_name: prevah


en:
The files contain the datasets used to produce Figures 2, 3, and 4 of the manuscript ([doi: 10.1002/2016GL071822](http://dx.doi.org/10.1002/2016GL071822)).
 Manuscript Abstract:
Despite being the main sediment entrainment mechanism in aeolian transport, granular splash is still poorly understood. We provide a deeper insight into the dynamics of sand and snow ejection with a stochastic model derived from the energy and momentum conservation laws. Our analysis highlights that the ejection regime of uniform sand is inherently different from that of heterogeneous sand. Moreover, we show that cohesive snow presents a mixed ejection regime, statistically controlled either by energy or momentum conservation depending on the impact velocity. The proposed formulation can provide a solid base for granular splash simulations in saltation models, leading to more reliable assessments of aeolian transport on Earth and Mars.

en: sediment-transport erosion mars snow model

en: Energy- and momentum-conserving model of splash entrainment in sand and snow saltation

de:
Resource Title:
    Size: 2190 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/82479779-1b20-486f-b4bc-414c6024c25d/download/figure3b.txt
    Description: Datasets of Figure 3b

de:
Resource Title:
    Size: 1434 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/8ab9bafb-62f5-4420-80da-a2a96d22be74/download/figure3a.txt
    Description: Datasets of Figure 3a

de:
Resource Title:
    Size: 3587 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/1f30b883-fc62-4bbf-a8f5-88f716008097/download/figure2.txt
    Description: Datasets of Figure 2

de:
Resource Title:
    Size: 2904 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/709f4330-9a35-4685-aac8-347067a5e483/download/figure4b.txt
    Description: Datasets of Figure 4b

de:
Resource Title:
    Size: 3626 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/6ee21796-08ad-4069-a4cb-da6c35ffede7/download/figure4a.txt
    Description: Datasets of Figure 4a

erosion

display_name: erosion

mars

display_name: mars

model

display_name: model

sediment-transport

display_name: sediment-transport

snow

display_name: snow


en:
The available datasets are snow depth maps with a spatial resolution of 2m generated from image matching of ADS 80/100 data. Image acquisition took place at peak of winter (time when the thickest snowpack is expected). The snow depth maps are the difference of a summer DSM from the winter DSM of the corresponding date . The summer DSM used is a product of image matching of ADS 80 data from summer 2013. In the available products buildings, vegetation and outliers were masked (set to NoData).
For the elimination of buildings the TLM layer (swisstopo) was used, because this layer might not represent exactly the
state of infrastructure at time of image acquisition, it is possible that mainly in dense settlement some buildings were not successfully masked. For the relevant area above treeline the masking of buildings showed good results. Vegetation got masked for a height above ground - 1m and was detected in a combination of summer and winter data sets. As Outliers were considered unrealistic snow depths caused by a failure of the image matching algorithm. Snow depths - 15m and smaller than - -15m were classified as outliers. Negative snow depth were kept, because of an uncertainty in image orientation accuracy. It is expected that in regions with negative snow depth also positive snow depth are underestimated by the same amount, which means that an estimation of snow volume should be carried out summing up the absolute values of snow depth (also the negative ones). For volume estimation in small regions the user has to take into account, that orientation accuracy of the images is roughly around 1-2 GSD (30cm), which propagates directly to the snow depth product. Areas which are not covered by snow got assigned a value of 0 as snow depth.
The work is published in:
Bühler, Y.; Marty, M.; Egli, L.; Veitinger, J.; Jonas, T.; Thee, P.; Ginzler, C., (2015). Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9 (1), 229-243. doi: 10.5194/tc-9-229-2015

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

envidat

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: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

de: EnviDat

en: Snow Depth Mapping

envi

de: Umwelt

de:
Resource Title: Snow depth map 20150415
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/578e95ce-ffa0-4fc6-8109-d9653b2c622a/download/snowmap_2015_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m

format: TIFF

media_type: image/tiff

de:
Resource Title: Snow depth map 20120320
    Size: 412272526 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/aff41055-8e6e-4287-b52d-2c2fb61633c2/download/snowmap_2012_ads_80_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

de:
Resource Title: Snow depth map 20160126
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/9229984f-b417-45e5-8dbe-031f295d0406/download/snowmap_20160126_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m
Because of very diffuse light conditions at time of image acquisition the quality of the resulting snow depth values are in some regions quite poor.

de:
Resource Title: Snow depth map 20130415
    Size: 412272526 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/da3ca703-c629-45c0-8dac-e78645b0fa5e/download/snowmap_2013_ads_80_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

de:
Resource Title: Snow depth map 20160420
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/bc035833-3193-4394-af92-f8d195d5e034/download/snowmap_20160420_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m

de:
Resource Title: Snow depth map 20100416
    Size: 412324171 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/4ba96052-9e3e-4b7a-9968-2dcc58fc96c0/download/snowmap_2010_ads_80_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

de:
Resource Title: Snow depth map 20140417
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/5cf5d3a5-555d-429e-9819-6c93ccce6dfc/download/snowmap_2014_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.18 m

de:
Resource Title: Snow depth mapping in high-alpine catchments using digital photogrammetry
    Size: 8122296 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/3b711e29-cea1-48e8-8de6-a008850c4f94/download/snow-depth-mapping-in-high-alpine-catchments.pdf
    Description:

format: PDF

media_type: application/pdf

de:
Resource Title: Snow depth map 20160309
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/ceae68a6-28f9-43f4-8ff5-9715588ade57/download/snowmap_20160309_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m

aerial-imagery

display_name: aerial-imagery

avalanche

display_name: avalanche

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-hydrology

display_name: snow-hydrology

snow-water-equivalent

display_name: snow-water-equivalent


en:
Throughfall, litterflow and soil solution were sampled during one whole year under five Oriental beech trees in a mixed Hyrcanian beech forest. The amounts of Ca2+, Mg2+, K+ and Na+ in these fluxes were calculated based on their concentrations and the sampled volumes, and subsequently compared with the respective fluxes in the rainfall and soil solution of an adjacent forest gap.
In addition six soil profiles, one close to every single tree and one in the forest gap, were analyzed for pH, CaCO3, organic matter and texture.

en: fagus-orientalis-lipsky calcium magnesium biogeochemical-cycling potassium

envidat

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.

en: Base cation dynamics in an Oriental beech forest

envi

en: Environment

biogeochemical-cycling

display_name: biogeochemical-cycling

calcium

display_name: calcium

fagus-orientalis-lipsky

display_name: fagus-orientalis-lipsky

magnesium

display_name: magnesium

potassium

display_name: potassium


seilaplan

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.

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

en: Seilaplan

title_for_slug: seilaplan

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


en: An R Computing Software package which provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG, a new Fortran implementation of 3-PG, serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) -doi:10.1016/S0378-1127(97)00026-1- and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) -doi:10.1016/j.ecolmodel.2015.07.010-.

en: callibration swiss-forest-lab forest-biomass forest-productivity forest-growth-model 3-pg

en: r3PG – An r package for simulating forest growth

de:
Resource Title: r3PG_0.1.6.tar.gz
    Size: 434143 bytes
    Format: application/x-gzip
    URL: https://www.envidat.ch/dataset/62e09c91-4526-4675-bc7e-2431eba72495/resource/26fa1f66-9d30-4e68-a40d-4c474a08d6fb/download/r3pg_0.1.6.tar.gz
    Description:

de:
Resource Title: r3PG source files v 0.1.2
    Size: 353308 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/62e09c91-4526-4675-bc7e-2431eba72495/resource/bcd9e0e9-c928-40d9-aeff-f1c35dfa43e8/download/r3pg_0.1.2.tar.gz
    Description:

de:
Resource Title: link to 3PG github R package
    Size: 1024 bytes
    Format: No Info
    URL: https://github.com/trotsiuk/r3PG
    Description: A package source code (development version).

de:
Resource Title: link to 3PG cran R package
    Size: 361472 bytes
    Format: No Info
    URL: https://cran.r-project.org/package=r3PG
    Description: A package source code (latest release).

callibration

display_name: callibration

forest-biomass

display_name: forest-biomass

forest-growth-model

display_name: forest-growth-model

forest-productivity

display_name: forest-productivity

swiss-forest-lab

display_name: swiss-forest-lab


en: Countrywide vegetation height models (VHM) were generated for Switzerland based on Copernicus Sentinel-2 imagery and the digital terrain model (DTM) swissALTI3D from the Swiss Federal Office of Topography swisstopo. A Convolutional Neural Network (CNN) model was trained to estimate the maximum vegetation height at the spatial resolution of the Sentinel-2 pixel of 10 m. Vegetation heights from the spatially higher-resolved VHM Lidar NFI were used as reference data for the CNN training. Within the framework of the Swiss National Forest Inventory (NFI), the VHMs were modelled annually based on available Sentinel-2 imagery from May – September of the respective year. Further details on the creation of the VHM Sentinel NFI can be found in the paper Jiang et al. (2023, https://doi.org/10.1016/j.srs.2023.100099). Contains modified Copernicus Sentinel data.

en: sentinel-2 cnn vegetation-height remote-sensing switzerland nfi forest

envidat

de: EnviDat: das Umwelt-Datenportal

en: Vegetation Height Model Sentinel NFI

de:
Resource Title: VHM_Sentinel_NFI_2023
    Size: 794605160 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/c57585ec-51da-4aeb-bf90-c5598e14d3c6/download/landesforstinventar-vegetationshoehenmodell_sentinel_2023_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2019
    Size: 796005325 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/1320cdac-5544-47d8-acaf-983fd88744a4/download/landesforstinventar-vegetationshoehenmodell_sentinel_2019_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2021
    Size: 793778198 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/8fc7f306-c788-4b1c-9a17-8dfe946c9681/download/landesforstinventar-vegetationshoehenmodell_sentinel_2021_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2017
    Size: 791212333 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/771519e8-6435-463c-a2cb-57031ee25861/download/landesforstinventar-vegetationshoehenmodell_sentinel_2017_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2020
    Size: 793832708 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/f0496550-ac9a-4dfd-bfea-68e601e9f3f7/download/landesforstinventar-vegetationshoehenmodell_sentinel_2020_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2024
    Size: 799033995 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/284e4292-df10-4227-85b5-1fc7024def5b/download/landesforstinventar-vegetationshoehenmodell_sentinel_2024_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2025
    Size: 789365244 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/cd9f3543-87a3-4eb5-ab05-a4388a7967c4/download/landesforstinventar-vegetationshoehenmodell_sentinel_2025_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2018
    Size: 791849627 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/6f9a20f7-78bf-4cc5-b734-c52d63bbfd0a/download/landesforstinventar-vegetationshoehenmodell_sentinel_2018_2056.tif
    Description:

de:
Resource Title: VHM_Sentinel_NFI_2022
    Size: 794990349 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/12ed6aff-aeed-45f4-aed3-81e17797a8da/download/landesforstinventar-vegetationshoehenmodell_sentinel_2022_2056.tif
    Description:

cnn

display_name: cnn

forest

display_name: forest

nfi

display_name: nfi

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland

vegetation-height

display_name: vegetation-height


de: EnviDat

en: The dataset contains several snow models in the Standard Tesselated Geometry File Format (stl) for 3D visualization, printing and additive manufacturing. Different snow types are available (new snow, rounded snow, depth hoar, buried surface hoar, graupel).

en: 3d-model depth-hoar snow new-snow 3d-print weak-layer rounded-snow snow-cast

envi

de: Umwelt

de:
Resource Title: Snow models in STL-format
    Size: 382570967 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f5163bdf-657d-43f8-a907-5a87e440f06a/resource/59fbf858-ae63-4067-9c51-4cd21817e22c/download/3d_snow_stl.zip
    Description: The zipped file contains all data described in the file 3d_snow_models_metadata. The stl-files should be ready for additive manufacturing.

de:
Resource Title: Description of snowtypes, filenames and other metadata
    Size: 2170683 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/f5163bdf-657d-43f8-a907-5a87e440f06a/resource/2092babe-4033-4cd3-bacc-857bce65cbb1/download/3d_snow_models_metadata.xlsx
    Description: This file contains information about the stl-files of the different snow models. Snowtype (Schneeart), International Snow Classification, preview picture, notes about the origin of the snow, filename of the stl-data, and physical size of the model are given.

depth-hoar

display_name: depth-hoar

new-snow

display_name: new-snow

rounded-snow

display_name: rounded-snow

snow

display_name: snow

snow-cast

display_name: snow-cast

weak-layer

display_name: weak-layer


en:
**Schweizweite Karte des sky view factors (Kronenöffnungsgrad im Wald) in 5 m Auflösung (Stand LFI VHM 2024)**
This is a dataset for Swiss forestry, for a description in English please see below.
Il s'agit d'un ensemble de données relatives à la sylviculture suisse. Pour une description en français, voir ci-dessous.
Si tratta di una serie di dati relativi alla silvicoltura svizzera. Per una descrizione in francese, vedere sotto.
Dieser Datensatz enthält eine schweizweite Karte mit einer Auflösung von 5 m, die den sky view factor darstellt. In Wäldern gibt sie den Kronenöffnungsgrad während der Vegetationsperiode wieder, ausserhalb von Wäldern zeigt die Karte lediglich den Terrain-Effekt. Wichtig: Der Kronenöffnungsgrad wurde anhand einer 180° Perspektive ermittelt, was dazu führt, dass die Werte nicht direkt vergleichbar sind mit Schätzungen im Feld, welche meistens auf einem kleineren Sichtradius basieren. Der Datensatz wurde mit dem auf synthetischen hemisphärischen Bildern basierendem Raytracing-Canopy-Radiation-Modell (CanRad) berechnet, unter Verwendung des LiDAR-basierten Vegetationshöhenmodells gemäss LFI (Stand 2024). Die Karte stellt die Bedingungen zum Zeitpunkt der LiDAR Datenerfassung dar. Informationen zu den Jahren der LiDAR-Erfassung finden Sie im Abschnitt „Data and ressources“. Der Datensatz wird jährlich aktualisiert, sobald ein neues LFI-LiDAR-Vegetationshöhenmodell verfügbar ist
**Carte nationale du facteur de vue du ciel (degré d'ouverture de la canopée dans la forêt) avec une résolution de 5 m (état IFN VHM 2024)**
Cet ensemble de données contient une carte couvrant l'ensemble du territoire suisse, avec une résolution de 5 m, qui représente le « sky view factor ». Dans les forêts, elle reflète le degré d'ouverture de la canopée pendant la période de végétation ; en dehors des forêts, la carte indique uniquement l'effet du relief. Important : le degré d'ouverture de la canopée a été déterminé à partir d'une perspective à 180°, ce qui signifie que les valeurs ne sont pas directement comparables aux estimations effectuées sur le terrain, qui se basent généralement sur un rayon de vision plus petit. L'ensemble de données a été calculé à l'aide du modèle CanRad (Raytracing-Canopy-Radiation), basé sur des images hémisphériques synthétiques, en utilisant le modèle altimétrique de végétation basé sur le LiDAR selon l'IFN (état en 2024). La carte représente les conditions au moment de la collecte des données LiDAR. Vous trouverez des informations sur les années de collecte LiDAR dans la section « Données et ressources ». L'ensemble de données est mis à jour chaque année dès qu'un nouveau modèle d'altitude de la végétation LFI-LiDAR est disponible.
**Mappa svizzera dello sky view factor (grado di apertura della chioma nella foresta) con risoluzione di 5 m (stato LFI VHM 2024)**
Questo set di dati contiene una mappa a copertura nazionale con una risoluzione di 5 m che rappresenta lo sky view factor. Nelle aree boschive essa riflette il grado di apertura della chioma durante il periodo vegetativo, mentre al di fuori delle aree boschive la mappa mostra semplicemente l'effetto del terreno. Importante: il grado di apertura della chioma è stato determinato sulla base di una prospettiva a 180°, il che comporta che i valori non siano direttamente comparabili con le stime sul campo, che si basano per lo più su un raggio visivo più ridotto. Il set di dati è stato calcolato con il modello Raytracing-Canopy-Radiation (CanRad), basato su immagini emisferiche sintetiche, utilizzando il modello altimetrico della vegetazione basato su LiDAR secondo l'IFN (aggiornato al 2024). La mappa rappresenta le condizioni al momento dell'acquisizione dei dati LiDAR. Le informazioni relative agli anni di acquisizione LiDAR sono disponibili nella sezione «Data and resources». Il set di dati viene aggiornato annualmente non appena è disponibile un nuovo modello di altezza della vegetazione LFI-LiDAR.
**Switzerland-wide map of the sky view factor (canopy openness in forests) with 5 m resolution (as of NFI VHM 2024)**
This dataset contains a map covering the whole of Switzerland with a resolution of 5 m, showing the sky view factor. In forests, it reflects the degree of canopy openness during the growing season; outside forests, the map simply shows the terrain effect. Important: The degree of canopy openness was determined using a 180° perspective, which means that the values are not directly comparable with field estimates, which are usually based on a smaller field of view. The dataset was calculated using the Raytracing Canopy Radiation model (CanRad), which is based on synthetic hemispheric images, utilising the LiDAR-based vegetation height model in accordance with the LFI (as of 2024). The map depicts conditions at the time of LiDAR data acquisition. Information on the years of LiDAR acquisition can be found in the ‘Data and resources’ section. The dataset is updated annually as soon as a new LFI LiDAR vegetation height model becomes available.

en: forestry canopy-openness canrad light-availability lidar

envidat

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.

en: EnviDat: the Environmental Data Portal

en: Switzerland-wide maps of sky view factor (canopy openness in forests) at 5 m resolution (as of NFI VHM 2024)

de:
Resource Title: Sky_view_factor_CH_LI_2024.tif
    Size: 1642824991 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/fa3b2b7f-c0f0-4fd0-b04e-78b0b60ebb4b/resource/ca5d0cc0-1838-4e3d-90da-4c5e0b1992ff/download/map_chli.tif
    Description:

de:
Resource Title: Lidar_Befliegungsjahr_VHM_2024.png
    Size: 536750 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/fa3b2b7f-c0f0-4fd0-b04e-78b0b60ebb4b/resource/d55237b2-558a-49c5-a26d-7c558f5a54c8/download/lidar_befliegungsjahr_vhm2024.png
    Description:

format: PNG

media_type: image/png

canopy-openness

display_name: canopy-openness

canrad

display_name: canrad

forestry

display_name: forestry

lidar

display_name: lidar

light-availability

display_name: light-availability


en:
Monitoring fish diversity through eDNA metabarcoding along the Kinabatangan river
In 2019, water samples were collected in 25 locations along the Kinabatangan in Malaysia. Samples were taken either from a boat or by filtering from the side of the river. At each station, two filtration replicates were performed using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 30 min, during which approximately 30 liters of water were filtered through each filtration capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. We use primers for eukaryote and fish. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: malaysia teleo edna metabarcoding fish

envidat

de: EnviDat: das Umwelt-Datenportal

en: Environmental DNA Freshwater Malaysia Kinabatangan 2019

envi

en: Environment

edna

display_name: edna

fish

display_name: fish

malaysia

display_name: malaysia

metabarcoding

display_name: metabarcoding

teleo

display_name: teleo


en:
CHELSAcruts is a delta change monthly climate dataset for the years 1901-2016 for mean monthly maximum temperatures, mean monthly minimum temperatures, and monthly precipitation sum.  Here we use the delta change method by B-spline interpolation of anomalies (deltas) of the CRU TS 4.01 dataset. Anomalies were interpolated between all CRU TS grid cells and are then added (for temperature variables) or multiplied (in case of precipitation) to high resolution climate data from CHELSA V1.2 (Karger et al. 2017, Scientific Data). This method has the assumption that climate only varies on the scale of the coarser (CRU TS) dataset, and the spatial pattern (from CHELSA) is consistent over time. This is certainly a rather crude assumption, and for time periods for which more accurate data is available CHELSAcruts should be avoided if possible (e.g. use CHELSA V1.2 for 1979-2015). Different to CHELSA V1.2, CHELSAcruts does not take changing wind patterns, or temperature lapse rates into account, but rather expects them to be constant over time, and similar to the long term averages.
CHELSAcruts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

en: climate-layers climate timeseries precipitation maximum-temperature minimum-temperature air-temperature free-climate-data century

en: CHELSAcruts -  High resolution temperature and precipitation timeseries for the 20th century and beyond

de:
Resource Title: CHELSA Technical Documentation
    Size: 0
    Format: application/pdf
    URL: http://chelsa-climate.org/wp-admin/download-page/CHELSA_tech_specification.pdf
    Description: As the CHELSA project is continuously expanded, certain new parameters, time scales etc. are not included anymore in the original publication (Karger et al. 2017). We are therefore provide this document as a guideline of the current climatic parameters available and will expand it as new parameters or time periods will become available. Please refer to the version history for changes made in the document.

de:
Resource Title: CHELSA_tech_specification_V1.2.pdf
    Size: 1146678 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/9c9c699a-e57f-49e9-b489-c6abdfa9b53b/resource/1d294699-c738-4a00-8500-2d64d3226819/download/chelsa_tech_specification_v1.2.pdf
    Description:

de:
Resource Title: Data Access
    Size: 3298534883328 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav1%2F&prefix=chelsa_cruts%2F
    Description: CHELSAcruts is a delta change monthly climate dataset for the years 1901-2016 for mean monthly maximum temperatures, mean monthly minimum temperatures, and monthly precipitation sum.

air-temperature

display_name: air-temperature

century

display_name: century

climate

display_name: climate

climate-layers

display_name: climate-layers

free-climate-data

display_name: free-climate-data

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation

timeseries

display_name: timeseries


en:
Spatio-temporal vegetation models are essential for simulating dynamics and shifts
in species distributions over large areas, particularly under global change. One such
model is the dynamic forest landscape model TreeMig. We have developed a frame-
work that makes the model more user-friendly, improves its functionality, and expands
its possibilities. The framework consists of the improved TreeMig model, the R pack-
age ‘TreeMig-R’ for pre-processing input data, model execution and visualization and a
graphical user interface (GUI) for ease of use. The code of the TreeMig Package and the GUI is stored here.

en: forest-model dynamic-modelling r-package gui landscape

en: Code of TreeMig Package version 1

dynamic-modelling

display_name: dynamic-modelling

forest-model

display_name: forest-model

gui

display_name: gui

landscape

display_name: landscape

r-package

display_name: r-package


en:
Hourly rooftop photovoltaic (RPV) power generation profiles for Switzerland, covering 12 weather years (2008--2019) and spatially aggregated to the nodes of the Swiss electricity transmission grid. The dataset resolves 48 orientation and tilt combinations, five installation size classes, and three flat roof design scenarios per grid node, providing approximately 8,550 distinct candidate RPV generators nationwide.
 What is in this dataset
- **Hourly generation profiles** (`power`, in Wh) for each grid node, roof orientation, and tilt bin
- **Installed capacity** (`Wp`, in Wp) broken down by size class (1--10, 10--30, 30--100, 100--300, 300--1000 kWp)
- **Normalized capacity factor profiles** (`specificPower`, in Wh/Wp) enabling scaling to arbitrary deployment levels
- **Voronoi grid shapefiles** defining the spatial aggregation zones around each transmission node
 Flat roof scenarios
Flat roofs (~23% of Swiss roof area) allow different module configurations. Three scenarios are included:
| Scenario | Configuration | Optimization target |
|---|---|---|
| **Winter** | South, 35 deg tilt, GCR 0.45 | Winter yield (Oct--Mar) |
| **Annual** | South, 15 deg tilt, GCR 0.70 | Annual yield |
| **Flat-EW** | East-West alternating, 15 deg tilt, GCR 1.04 | Total installed capacity |
Tilted roofs (tilt - 0) are identical in all three scenarios.
 Methodology
Generation profiles are derived from satellite-based hourly surface solar radiation data (HelioMont), downscaled to 300 m resolution using the NASADEM digital elevation model with terrain-scale shading and ground reflection ([CH-POA300](https://www.doi.org/10.16904/envidat.632)). The national roof inventory Sonnendach (v1.5) provides orientation, tilt, and area for over 10 million roof surfaces. A simplified PV system model (module efficiency 20%, performance ratio 0.8, roof cover factor 0.7) converts irradiance to AC power output. Only roofs with an installed capacity -= 1 kWp are included.
 Two grid versions
| | v1 | v2 |
|---|---|---|
| Grid | Swissmod | Strategic Grid 2040 |
| Nodes | 135 | 105 |
| CRS | EPSG:21781 | EPSG:21781 |
 File format
NetCDF-4 files, one per year and scenario. See `DATA_DESCRIPTION.md` included in the dataset for the full data model, coordinate definitions, and usage examples.
 Code
Processing code and instructions for reproducibility are available at: `https://github.com/frischwood/CH-RPV300.git`

en: rooftop-pv solar-energy energy-transition photovoltaic renewable-energy

en: CH-RPV300: Hourly Rooftop-PV Potential Profiles in Switzerland

de:
Resource Title: profiles_grid_v2.zip
    Size: 4531190497 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/d6a43092-bdce-4e14-a182-8c37e53b5f65/download/profiles_grid_v2.zip
    Description: This archive contains the RPV profiles aggregated using the second version (v2) of the transmission grid, also included.

de:
Resource Title: DATA_DESCRIPTION.md
    Size: 7762 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/78340283-abd2-48e0-82aa-57707c46dc93/download/data_description.md
    Description:

format: markdown

de:
Resource Title: profiles_grid_v1.zip
    Size: 5894842614 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/4e34b9ac-b8d5-408f-b9e0-70a559e44a2b/download/profiles_grid_v1.zip
    Description: This archive contains the RPV profiles aggregated using the first version (v1) of the transmission grid, also included.

energy-transition

display_name: energy-transition

photovoltaic

display_name: photovoltaic

renewable-energy

display_name: renewable-energy

rooftop-pv

display_name: rooftop-pv

solar-energy

display_name: solar-energy


en:
The dataset contains Digital Terrain Models (DTMs) and orthophotos obtained from successive surveys used to quantify soil erosion on non-vegetated slopes in a torrent catchment. The research area is steep (mainly 30-60°), has a complex topography and the spatial extent is about 0.6 ha. Furthermore, it is partly forested, and the soils consist mainly of glacial till. Digital terrain models were compiled in spring and autumn of the years 2021 to 2025 using UAV based LiDAR (Riegel miniVUX-3) and Photogrammetry (DJI Phantom 4 RTK).
To derive DTMs from the LiDAR (miniVUX-3) and photogrammetric (Phantom 4RTK) point clouds ground classification was processed with lasground_new (LASTools) and further refined by applying a filtering, based on vegetation index (2*green channel – red channel – blue channel) to remove vegetation points falsely classified as ground. Documented accuracies of the DTMs heights compared to dGNSS measurements were mostly around 2-5 cm. All data is supplied in the reference system LV95 (epsg: 2056) / LN02 (epsg: 5728).
Dates of surveys (miniVUX-3UAV, DJI P4 RTK):
 * 15.06.2021
 * 10.11.2021
 * 20.04.2022
 * 17.11.2023
 * 18.04.2023
 * 24.11.2023
 * 19.03.2024
 * 14.11.2024
 * 25.03.2025
 * 12.11.2025

en: gully monitoring steep-slope mountain-stream erosion-scar erosion

en: Soil erosion mapping on steep slopes

erosion

display_name: erosion

erosion-scar

display_name: erosion-scar

gully

display_name: gully

monitoring

display_name: monitoring

mountain-stream

display_name: mountain-stream

steep-slope

display_name: steep-slope


en:
Countrywide **vegetation height models (VHM)** were generated for Switzerland based on
LiDAR data acquired in the framework of the **swissSURFACE3D** campaign (swisstopo).
To derive vegetation height, the classified point cloud got normalized by calculating height above ground for all points not belonging to the class ground (2). Vegetation point (class 3,4,5) got then rasterized to a grid size of 0.5 m using an interpolation distance of one grid cell. Raster cells not belonging to a vegetation class got set to 0 m above ground.
These VHM's are produced in the framework of the Swiss National forest Inventory (NFI).
Each year about 1/6 of switzerland surface is updated using swissSURFACE3D data in leaf-off state.

en: nfi vegetation-classification forest vegetation-height point-cloud vegetation three-dimensional

envidat

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: EnviDat: the Environmental Data Portal

en: Vegetation Height Model LiDAR NFI

de:
Resource Title: 2024 Vegetation Height Model LiDAR NFI
    Size: 149786984448 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.664%2F2024%2F
    Description: Vegetation Height Model of Switzerland for the year 2024 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).

de:
Resource Title: 2025 Vegetation Height Model LiDAR NFI (current)
    Size: 160202280141 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.664%2F2025%2F
    Description: Vegetation Height Model of Switzerland for the year 2025 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).

forest

display_name: forest

nfi

display_name: nfi

point-cloud

display_name: point-cloud

three-dimensional

display_name: three-dimensional

vegetation

display_name: vegetation

vegetation-classification

display_name: vegetation-classification

vegetation-height

display_name: vegetation-height


en: This dataset contains detailed records of pollinator communities and plant reproductive outcomes from an urban garden experiment in Zurich, Switzerland. It includes flower visitation frequency and pollinator species richness for four insect-pollinated plant species observed across 24 home gardens. The dataset spans 167 pollinator taxa, with over 5,700 individuals identified, mostly to species or genus level. It features individual-level trait measurements for pollinators, such as body size and tongue lengths. Measures of pollination success, including seed and fruit set, are provided for each plant species.

en: garden-experiment onobrychis-viciifolia urban-biodiversity urbanisation raphanus-sativus plant-insect-interaction better-gardens bettergardens green-spaces urban-ecology daucus-carota plant-pollinator-interactions symphytum-officinale pollinator-experiment zurich pollination gardens

en: Comprehensive dataset of pollinator diversity and visitation rates with individual-based traits and pollination success across four urban garden plant species

envi

en: Environment

better-gardens

display_name: better-gardens

bettergardens

display_name: bettergardens

daucus-carota

display_name: daucus-carota

garden-experiment

display_name: garden-experiment

gardens

display_name: gardens

green-spaces

display_name: green-spaces

onobrychis-viciifolia

display_name: onobrychis-viciifolia

plant-insect-interaction

display_name: plant-insect-interaction

plant-pollinator-interactions

display_name: plant-pollinator-interactions

pollination

display_name: pollination

pollinator-experiment

display_name: pollinator-experiment

raphanus-sativus

display_name: raphanus-sativus

symphytum-officinale

display_name: symphytum-officinale

urban-biodiversity

display_name: urban-biodiversity

urban-ecology

display_name: urban-ecology

urbanisation

display_name: urbanisation

zurich

display_name: zurich


deadwood-generator

en: The here presented code generates discrete three-dimensional, RAMMS::ROCKFALL readable deadwood log files (.pts-format) of windtrown forests, including the pilling effect due to slightly different throw directions.

en: rockfall ramms lying-deadwood piled-up-logs windthrow

en: Deadwood Generator

title_for_slug: deadwood-generator

de:
Resource Title: Ortho_Kloental_Nov2020_4cm
    Size: 16846203717 bytes
    Format: image/tiff
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/ortho_kloental_20201125_4cm.tif
    Description:

de:
Resource Title: Ortho_Kloental_Jan2020_4cm
    Size: 3673063223 bytes
    Format: image/tiff
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/ortho_kloental_20200124_4cm.tif
    Description: The used Orthophoto with a 4 cm resolution, based on the flight survey with the eBee-UAV from the 24 Jan. 2020.

de:
Resource Title: GIS_Files_ADG
    Size: 160664 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/gis_files_adg.zip
    Description: Zipped Folder containing the shape files (.shp) of the mapped trees, their bases, the control area and the used rock release areas for both windthrow areas W1 and W2.

de:
Resource Title: Authomatic Deadwood Generator (ADG)
    Size: 4444888 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.357/deadwood-generator/adg.zip
    Description: Complete ADG, including the calling script explaining the parameters to use, a sample DEM and a corresponding sample tree file, and sample outputs. All files are zipped together. Input DEM needs to be a .TIF file while the script uses python 3 and has several dependencies to the rasterio-python package (https://rasterio.readthedocs.io/en/latest/).

lying-deadwood

display_name: lying-deadwood

piled-up-logs

display_name: piled-up-logs

ramms

display_name: ramms

rockfall

display_name: rockfall

windthrow

display_name: windthrow


bundesamt-fur-statistik-bfs

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

en: The FSO is Switzerland's national competence centre for official statistics. It produces and publishes statistical information on the status and development of the population, economy, society, education, research, territory and the environment. This information is used for opinion building among the population and for the planning and management of key policy areas. They make an important contribution to a modern, democratic state.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

fr: Office fédéral de la statistique OFS

it: Ufficio federale di statistica UST

political_level: confederation

fr: Office fédéral de la statistique

it: Ufficio federale di statistica

en: Federal Statistical Office

de: Bundesamt für Statistik

spatial: Schweiz

fr: Annuaire statistique de la Suisse 1978

de: Statistisches Jahrbuch der Schweiz 1978

value: BFS - DCAT Harvester

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

format: HTML

media_type: text/html

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews


de: Dieses Dataset präsentiert Indikatoren zur Mobilität (Anteil Pendler, Personenwagen, Preis einer Monatskarte, Haltestellen des öffentlichen Verkehrs) in den Städten und Agglomerationen gemäss der Defintion der Agglomerationsperimeter aus dem Jahr 2000, 2012 - 2013.

fr: Ce dataset présente des indicateurs de mobilité (part des pendulaires, voitures de tourisme, prix d'un abonnement, arrêts des transports publics) dans les villes et agglomérations selon la définition des agglomérations 2000, en 2012 et 2013.

de: Lebensqualität in den Städten und Agglomerationen (Agglo 2000): Mobilität

fr: Qualité de vie dans les villes et agglomérations (agglo 2000): mobilité

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

format: SERVICE


tabakkonsum-in-der-schweiz

de: Tabakkonsum in der Schweiz

fr: Consommation de tabac en Suisse

title_for_slug: tabakkonsum-in-der-schweiz

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

gesundheit

display_name: gesundheit

health

display_name: health

salute

display_name: salute

sanadad

display_name: sanadad

sante

display_name: sante


fr: Indicateurs du marché du travail en comparaison internationale, 4e trimestre

de: Ausgewählte Arbeitsmarktindikatoren im internationalen Vergleich, 4. Quartal

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

arbeit-und-erwerb

display_name: arbeit-und-erwerb

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

travail-et-remuneration

display_name: travail-et-remuneration

work-and-income

display_name: work-and-income


de: Die Tabelle zeigt die wichtigsten Aggregate der Finanzen der sozialen Sicherheit in der Schweiz. Monetäre Werte werden hier in Millionen Franken und in Franken pro Kopf, zu laufenden und konstanten Preisen, ausgedrückt. Die verwendete Methodik basiert auf dem Europäischen System der Integrierten Sozialschutzstatistik (ESSOSS).

fr: Le tableau présente les agrégats principaux des finances de la protection sociale en Suisse. Les valeurs monétaires sont exprimées en millions de francs et en francs par habitant, à prix courants et à prix constants. La méthodologie utilisée repose sur le Système européen de statistiques intégrées de la protection sociale (SESPROS).

de: Finanzen der sozialen Sicherheit in der Schweiz: Gesamtausgaben, Leistungen und Gesamteinnahmen, in Millionen Franken und in Franken pro Kopf

fr: Finances de la protection sociale en Suisse: dépenses totales, prestations et recettes totales, en millions de francs et en francs par habitant

securite-sociale

display_name: securite-sociale

segirezza-sociala

display_name: segirezza-sociala

sicurezza-sociale

display_name: sicurezza-sociale

social-security

display_name: social-security

soziale-sicherheit

display_name: soziale-sicherheit


fr: Portrait des groupes d'entreprises en Suisse 2014-2020

de: Portrait der Unternehmensgruppen in der Schweiz 2014-2020

industria-e-servetschs

display_name: industria-e-servetschs

industria-e-servizi

display_name: industria-e-servizi

industrie-et-services

display_name: industrie-et-services

industrie-und-dienstleistungen

display_name: industrie-und-dienstleistungen

industry-and-services

display_name: industry-and-services


fr: L'évolution du revenu des diplômés de la formation professionnelle supérieure

de: Einkommensentwicklung von Absolventinnen und Absolventen der höheren Berufsbildung

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza


bundesamt-fur-statistik-bfs

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

de: Materielle und soziale Deprivation der Erwerbstätigen, nach verschiedenen Merkmalen

fr: Privations matérielles et sociales des actifs occupés, selon différentes caractéristiques


de: Bundesamt für Statistik BFS

fr: Office fédéral de la statistique OFS

fr: Office fédéral de la statistique

de: Bundesamt für Statistik

fr: Jugements pénaux des mineurs: structure des infractions

de: Jugendstrafurteile: Straftatenstruktur

just

de: Justiz, Rechtssystem und öffentliche Sicherheit

en: Justice, legal system and public safety

fr: Justice, système juridique et sécurité publique

it: Giustizia, sistema giuridico e sicurezza pubblica

crime-and-criminal-justice

display_name: crime-and-criminal-justice

criminalita-e-diritto-penale

display_name: criminalita-e-diritto-penale

criminalitad-e-dretg-penal

display_name: criminalitad-e-dretg-penal

criminalite-et-droit-penal

display_name: criminalite-et-droit-penal

kriminalitat-und-strafrecht

display_name: kriminalitat-und-strafrecht


fr: Violence domestique: Personnes prévenues, selon la nationalité et le statut de séjour

de: Häusliche Gewalt: Beschuldigte Personen nach Staatszugehörigkeit und Aufenthaltsstatus


fr: Services de plateformes numériques en 2024 selon différents critères

de: Internetbasierte Plattformdienstleistungen 2024 nach diversen Kriterien

arbeit-und-erwerb

display_name: arbeit-und-erwerb

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

travail-et-remuneration

display_name: travail-et-remuneration

work-and-income

display_name: work-and-income


fr: Financement de la culture par les collectivités publiques - selon les domaines culturels et les types de dépenses

de: Kulturfinanzierung durch die öffentliche Hand - nach Kulturbereichen und Ausgabenkategorien


fr: Changement de la situation familiale, de 1985 à 2024

de: Änderung der Familiensituation, 1985-2024

soci

de: Bevölkerung und Gesellschaft

fr: Population et société

bevolkerung

display_name: bevolkerung

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun


fr: Nouveaux bâtiments à usage d'habitation et nouveaux logements terminés, par catégorie et type de bâtiment, selon le genre et la catégorie de maîtres d'ouvrage

de: Neu erstellte Gebäude mit Wohnnutzung, neu erstellte Wohnungen nach Kategorie und Typ der Gebäude sowie nach Art und Kategorie der Auftraggeber

bau--und-wohnungswesen

display_name: bau--und-wohnungswesen

construction-and-housing

display_name: construction-and-housing

construction-et-logement

display_name: construction-et-logement

construcziuns-ed-abitaziuns

display_name: construcziuns-ed-abitaziuns

costruzioni-e-abitazioni

display_name: costruzioni-e-abitazioni


de: Materielle und soziale Deprivation, nach verschiedenen sozioprofessionellen Merkmalen

fr: Privations matérielles et sociales, selon différentes caractéristiques socio-professionnelles


fr: Déchets urbains

de: Siedlungsabfälle

envi

de: Umwelt

fr: Environnement

espace-et-environnement

display_name: espace-et-environnement

raum-und-umwelt

display_name: raum-und-umwelt

territori-ed-ambient

display_name: territori-ed-ambient

territorio-e-ambiente

display_name: territorio-e-ambiente

territory-and-environment

display_name: territory-and-environment


de:
Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Elemente, die eine Fahrplandarstellung und -auskunft ermöglichen. Der Fahrplan wird mittels des General Transit Feed Specification Format (GTFS) zur Verfügung gestellt.

Das Format wird auch GTFS Static genannt. Mit diesem Datenformat zusammenhängend sind die Echtzeitinformationen, die über GTFS Realtime (GTFS-RT) abgebildet werden, sowie die Ereignisinformationen GTFS-RT Service Alerts (GTFS-RT (SA)). Hierzu bieten wir weiterführende Informationen, sowie auch zur offiziellen Dokumentation.

Bitte beachten: An Feiertagen (z. B. Ostermontag, Pfingstmontag u. a.) findet keine Aktualisierung statt.

Daten für 2025 und älter sind in unserem Datenarchiv zu finden: https://archive.opentransportdata.swiss

en:
The timetable contains the essential topological and temporal elements that enable timetable display and information. The timetable is provided in the General Transit Feed Specification Format (GTFS).

The format is also called GTFS Static. Related to this data format is the real-time information, which is mapped via GTFS Realtime (GTFS-RT), as well as the GTFS-RT Service Alerts (GTFS-RT (SA)) event information. We offer further information on this, as well as on the official documentation.

Please note: There will be no updates on public holidays (e.g. Easter Monday, Whit Monday, etc.).

Data for 2025 and older can be found in our data archive: https://archive.opentransportdata.swiss

fr:
L’horaire comprend les éléments topologiques et temporels fondamentaux permettant la représentation de l’horaire et la fourniture d’informations à ce sujet. L’horaire est mis à disposition au format GTFS (General Transit Feed Specification Format).

Ce format est également appelé GTFS Static. Les informations en temps réel représentées par GTFS Realtime (GTFS-RT) et les informations événementielles GTFS-RT Service Alerts (GTFS-RT (SA)) sont liées à ce format de données. Nous proposons des informations complémentaires à ce sujet, ainsi que sur la documentation officielle.

Remarque: Aucune mise à jour n’est effectuée les jours fériés (p. ex. lundi de Pâques, lundi de Pentecôte, etc.).

Les données pour 2025 et antérieures se trouvent dans nos archives de données : https://archive.opentransportdata.swiss

it:
L’orario contiene l’elemento topologico basilare e anche l’elemento temporale, che consentono la rappresentazione dell’orario e le informazioni sull’orario. L’orario viene messo a disposizione tramite il General Transit Feed Specification Format (GTFS).

Il formato è chiamato anche GTFS statico. A questo formato di dati sono collegate le informazioni in tempo reale, mappate tramite GTFS Realtime (GTFS-RT), nonché le informazioni sugli eventi GTFS-RT Service Alerts (GTFS-RT (SA)). Offriamo ulteriori informazioni su questo aspetto e sulla documentazione ufficiale.

Nota bene: Non vi sono aggiornamenti nei giorni festivi (ad es. lunedì di Pasqua, lunedì di Pentecoste ecc.).

I dati del 2025 e precedenti sono disponibili nel nostro archivio dati: https://archive.opentransportdata.swiss

en: gtfs data stop mode-of-transportation line business-organisation timetable journey train bus cableways passenger mobility-service-provider

de: gtfs embag daten haltestelle verkehrsmittel linie geschaftsorganisation fahrplan fahrt zug bus seilbahn passagier mobilitatsdienstleister

fr: gtfs lmeta donnees halte moyen-de-transport ligne organisation-commerciale horaire voyage train autobus telepheriques passager prestataire-de-mobilite

it: gtfs lmeca dati fermata mezzo-di-trasporto linea organizzazione-aziendale orario viaggio treno autobus funivie passaggero fornitore-di-servizio

oevch

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

en: Business office of Customer Information System Tasks (SBB CFF FFS)

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

de: Cookbook

en: Cookbook

fr: Cookbook

it: Cookbook

de: Cookbook GTFS-RT

en: Cookbook GTFS-RT

fr: Cookbook GTFS-RT

it: Cookbook GTFS-RT

de: Cookbook GTFS-RT Service Alerts

en: Cookbook GTFS-RT Service Alerts

fr: Cookbook GTFS-RT Service Alerts

it: Cookbook GTFS-RT Service Alerts

de: Definition GTFS-S (Standard)

en: Definition GTFS-S (Standard)

fr: Definition GTFS-S (Standard)

it: Definition GTFS-S (Standard)

de: Aufzeichnung des Online-Meet-Ups vom 13.11.2023

de: Fahrplan 2026 (GTFS2020)

en: Timetable 2026 (GTFS2020)

fr: Horaire 2026 (GTFS2020)

it: Orario 2026 (GTFS2020)

value: Opentransportdata - DCAT Harvester

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti


wasser-leitungen-darstellung-eigentum

en: Dieser Datensatz hat den gleichen Inhalt wie der Datensatz "Wasser Leitung öffentlich". Die Wasserleitungen sind gemäss dem Attribut "Eigentum" verschiedenfarbig dargestellt.

geoinformation-kanton-uri

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

de: Lisag AG, Geoinformation Kanton Uri

political_level: canton

en: Gemeinden des Kt. Uri

it: Gemeinden des Kt. Uri

de: Gemeinden des Kt. Uri

fr: Gemeinden des Kt. Uri

url: https://geo.ur.ch/?layers=Wasser Leitungen Darstellung Eigentum

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

spatial: Canton of Uri (UR)

en: Wasser Leitungen Darstellung Eigentum

it: Wasser Leitungen Darstellung Eigentum

de: Wasser Leitungen Darstellung Eigentum

fr: Wasser Leitungen Darstellung Eigentum

title_for_slug: wasser-leitungen-darstellung-eigentum

educ

de: Bildung, Kultur und Sport

fr: Éducation, culture et sport

ener

de: Energie

en: Energy

fr: Énergie

it: Energia

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

envi

en: Environment

it: Ambiente

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

fr: WMS-Dienst des Kanton Uri

format: WMS

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

format: WFS

value: Uri-Kt - Geocat Harvester


abwasseranlagen-darstellung-eigentum

en: Dieser Datensatz hat den gleichen Inhalt wie der Datensatz "34-UR_Abwasseranlagen". Die Abwasserleitungen sind gemäss dem Attribut "Eigentum" verschiedenfarbig dargestellt.

en: pipeline-cadastre official-geodata

de: leitungskataster geobasisdaten

it: catasto-delle-condotte geodati-di-base

en: Abwasser Uri

it: Abwasser Uri

de: Abwasser Uri

fr: Abwasser Uri

en: Abwasseranlagen Darstellung Eigentum

it: Abwasseranlagen Darstellung Eigentum

de: Abwasseranlagen Darstellung Eigentum

fr: Abwasseranlagen Darstellung Eigentum

title_for_slug: abwasseranlagen-darstellung-eigentum

educ

en: Education, culture and sport

it: Istruzione, cultura e sport

envi

de: Umwelt

fr: Environnement


elektro-leitungen

en: Elektro Trasse, Bauwerke und Trassepunkte.

en: Elektrizitätswerke

it: Elektrizitätswerke

de: Elektrizitätswerke

fr: Elektrizitätswerke

en: Elektro Leitungen

it: Elektro Leitungen

de: Elektro Leitungen

fr: Elektro Leitungen

title_for_slug: elektro-leitungen


abwasseranlagen-darstellung-nutzungsart

en: Dieser Datensatz hat den gleichen Inhalt wie der Datensatz "34-UR_Abwasseranlagen". Die Abwasserleitungen sind gemäss dem Attribut "Nutzungsart" verschiedenfarbig dargestellt.

en: Abwasseranlagen Darstellung Nutzungsart

it: Abwasseranlagen Darstellung Nutzungsart

de: Abwasseranlagen Darstellung Nutzungsart

fr: Abwasseranlagen Darstellung Nutzungsart

title_for_slug: abwasseranlagen-darstellung-nutzungsart


fernwarme-leitungen

en: Fernwärme Trasse und Leitungspunkt.

it: Fernwärme Trasse und Leitungspunkt.

de: Fernwärme Trasse und Leitungspunkt.

fr: Fernwärme Trasse und Leitungspunkt.

geoinformation-kanton-uri

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

en: Oeko Energie AG

it: Oeko Energie AG

de: Oeko Energie AG

fr: Oeko Energie AG

en: geocat.ch permalink

en: Fernwärme Leitungen

it: Fernwärme Leitungen

de: Fernwärme Leitungen

fr: Fernwärme Leitungen

title_for_slug: fernwarme-leitungen


wasser-leitungen-offentlich

en: In diesem Datensatz werden Leitungen für die Wasserversorgung verwaltet. Im Kanton Uri sind nicht alle Wasserversorgungen digital erfasst. Die Gemeindeverwaltungen oder Wasserversorgungen bestimmen zur Zeit die Verfügbarkeit des öffentlichen oder geschützten Zugangs.

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

en: Gemeinden des Kt. Uri

it: Gemeinden des Kt. Uri

de: Gemeinden des Kt. Uri

fr: Gemeinden des Kt. Uri

de: geocat.ch Permalink

it: geocat.ch link permanente

en: Wasser Leitungen öffentlich

it: Wasser Leitungen öffentlich

de: Wasser Leitungen öffentlich

fr: Wasser Leitungen öffentlich

title_for_slug: wasser-leitungen-offentlich

ener

en: Energy

regi

en: Regions and cities

envi

en: Environment


en: Cette couche centralise tous les relevés existants d'arbres isolés situés hors forêts sur la canton de Genève. Elle est le résultat de la digitalisation de l'inventaire "historique" de 1976, mis à jour régulièrement par les collectivités. C'est une mise à plat de la base relationnelle ICA avec une sélection de champs du dernier relevé sur un arbre. Attention de prendre en compte la précision du positionnement des ponctuels de cette couche. - Les arbres relevés dans les années 70' (sur plan papier) ont une précision de positionnement d'environ 25 mètres - Les arbres issus d'un relevé de terrain plus récent (et plus précis) ont une précision de positionnement proche du mètre.

ville-geneve

de: Die Stadt Genf setzt sich in Übereinstimmung mit ihrer Datenpolitik für einen offenen Umgang mit öffentlichen Daten ein, der in allen relevanten Bereichen zur Norm wird ("offene Daten per Default"). Im Rahmen der "Strategie für den freien Zugang zu öffentlichen Daten in der Schweiz" stellt die Stadt Genf ihre Daten öffentlich in offenen Formaten (Open Source) zur Verfügung, die automatisch gelesen werden können, um sie weiterzuverwenden. Die Stadt Genf setzt auf Transparenz und Effizienz der Verwaltung, Bürgerbeteiligung und Innovation.

en: In compliance with its data policy, the City of Geneva is firmly committed to an open approach to its public data, making this the norm in all relevant areas ("open data by default"). As part of the "Strategy for free access to public data in Switzerland", the City of Geneva provides its data publicly in open formats (open source) which can be read automatically with the purpose of being re-used. The City of Geneva favours an approach based on transparency and efficiency of the administration's actions, citizen participation and innovation.

fr: Conformément à sa politique des données, la Ville de Genève s’engage résolument dans une démarche d’ouverture de ses données publiques, faisant de celle-ci la norme partout où c’est pertinent (« open data par défaut »). S’inscrivant dans le cadre de la « Stratégie en matière de libre accès aux données publiques en Suisse », elle met à la disposition du public ses données en privilégiant des formats ouverts (open source) et lisibles de manière automatisée en vue d’une réutilisation. La Ville de Genève privilégie une approche basée sur la transparence et l’efficacité de l’action de l’administration, la participation citoyenne et l’innovation.

it: Conformemente alla sua politica sui dati, la Città di Ginevra si impegna fermamente in un percorso di apertura dei suoi dati pubblici, rendendola la norma ovunque sia pertinente ("open data by default"). Nell'ambito della "Strategia per il libero accesso ai dati pubblici in Svizzera", la Città di Ginevra mette a disposizione del pubblico i propri dati privilegiando formati aperti (open source) che possono essere letti automaticamente per consentire il riutilizzo. La Città di Ginevra promuove un approccio basato sulla trasparenza e sull'efficienza delle azioni amministrative, sulla partecipazione dei cittadini e sull'innovazione.

en: City of Geneva

de: Stadt Genf

fr: Ville de Genève

it: Città di Ginevra

political_level: commune

en: Conservatoire et Jardin botaniques de la Ville de Genève

fr: geocat.ch permalien

en: Inventaire cantonal des arbres isolés

it: Inventaire cantonal des arbres isolés

de: Inventaire cantonal des arbres isolés

fr: Inventaire cantonal des arbres isolés

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

de: Regionen und Städte

it: Regioni e città

format: API

en: Serveur de fichiers Opendata

it: Serveur de fichiers Opendata

de: Serveur de fichiers Opendata

fr: Serveur de fichiers Opendata

en: CSV

it: CSV

de: CSV

fr: CSV

protocol: CSV

en: GDB

it: GDB

de: GDB

fr: GDB

protocol: GDB

en: SHP

it: SHP

de: SHP

fr: SHP

protocol: SHP


en: Suite à l'élaboration de "l'inventaire des plantes vasculaires du canton de Genève avec liste rouge" définissant les degrés de menaces pour la flore, des sites prioritaires ont été identifiés selon une méthodologie décrite dans "Conservation des plantes vasculaires du canton de Genève : espèces et sites prioritaires". Ces sites font l'objet de mesures de conservation et sont à considérer dans les plans d'aménagement du territoire. La classe d'entités permet de localiser les sites particulièrement intéressants pour la flore ainsi que le numéro qui leur est attribué. Afin de prendre connaissance de la valeur de chaque site, on devra croiser ce numéro avec l'information contenue dans la publication "Conservation des plantes vasculaires du canton de Genève : espèces et sites prioritaires". De par les valeurs naturelles qu'ils contiennent, les sites prioritaires flores sont considérés au minimum comme espèces ou biotopes digne de protection au sens de la LPN et du Règlement sur la protection du paysage, des milieux naturels et de la flore (RPPMF) L 4 05.11

it: Conservatoire et Jardin botaniques de la Ville de Genève

en: geocat.ch permalink

en: Sites prioritaires des plantes vasculaires

fr: Régions et villes

envi

de: Umwelt

fr: Environnement

it: Ambiente

value: Geocat Ville de Genève


en: Couche de l'Inventaire Cantonal des Arbres isolés hors forêts utilisée par le guichet cartographique de la Ville de Genève.

de: Conservatoire et Jardin botaniques de la Ville de Genève

en: Inventaire cantonal des arbres pour consultation en ligne

en: GML

it: GML

de: GML

fr: GML

protocol: GML


en: Les équipements hydrogéologiques représentent l'emplacement des sondages qui possèdent des équipements permettant de connaitre l'état des ressources en eau souterraine. Deux types d'équipements sont distingués : les piézomètres et les puits de captage. Les piézomètres sont des forages équipés d'un tube crépiné qui permettent d'avoir accès à l'eau souterraine et d'en mesurer son niveau altimétrique. Sur le canton, plus de 250 piézomètres font l'objet d'un suivi régulier, hebdomadaire ou mensuel. Les puits de captage permette l'exploitation de la ressource en eau souterraine pour différents usages (eau potable, géothermie, agriculture ou encore pour un usage industriel). L'intégralité de la base de données des équipements hydrogéologiques peut être téléchargée depuis l'URL suivant: https://ge.ch/geodata/sitg/SONDAGES_EQUIPEMENTS_HYDRO/BASE_SONDAGES_EQUIPEMENTS_HYDRO.zip

canton-geneve

fr: Le canton de Genève s'est engagé dans une démarche d’ouverture des données publiques depuis plusieurs années. Sur ce portail, vous trouvez toutes les données provenant de l'administration cantonale genevoise qui répondent aux principes de l'Open Government Data, ainsi que les géodonnées OpenData du Système d’Information du Territoire à Genève (SITG).

de: Der Kanton Genf verfolgt seit einigen Jahren eine Open Data Strategie. Auf diesem Portal finden Sie Daten aus der kantonalen Verwaltung die die Prinzipien des Open Government Data erfüllen, sowie sämtliche "Open-Geodaten" des Genfer Geoinformationssystems (SITG). ***Die Datensätze finden Sie unter der betreffenden Organisation***

en: The canton of Geneva has been committed to making public data open for a few years now. On this portal, you will find all the data from the Geneva cantonal administration that meet the principles of Open Government Data, as well as geodata from the geographic information system of Geneva (SITG) that fall under the OpenData policy.

it: Il cantone di Ginevra si è impegnato in un processo di apertura dei dati pubblici per diversi anni. Su questo portale, è possibile trovare tutti i dati dell'amministrazione del cantone di Ginevra che soddisfano i principi del Open Government Data, inoltre ai geodati OpenData del Sistema Informativo Territoriale di Ginevra (SITG).

de: Kanton Genf

en: Canton of Geneva

fr: Canton de Genève

it: Cantone di Ginevra

en: Service de géologie, sols et déchets

it: Service de géologie, sols et déchets

de: Service de géologie, sols et déchets

fr: Service de géologie, sols et déchets

en: Équipements hydrogéologiques

it: Équipements hydrogéologiques

de: Équipements hydrogéologiques

fr: Équipements hydrogéologiques

regi

en: Regions and cities

en: Environment


en: Sous la terminologie usuelle de nature du sol sont regroupés les différents types de nature devant former à terme, avec les bâtiments hors-sol et le domaine routier, une partition complète du territoire. On distingue 6 types de natures du sol : - revêtement dur - verte - eau - boisée - sans végétation - autres natures. Seule la nature "revêtement dur" fait partie de la mise à jour permanente effectuée dans le cadre de la conservation, contrairement aux autres natures dont la mise à jour est réalisée périodiquement.

en: Direction de l'information du territoire

de: geocat.ch Permalink

it: geocat.ch link permanente

en: Nature du sol

it: Nature du sol

de: Nature du sol

fr: Nature du sol

en: Serveur de fichiers Opendata


en: Points servant à la matérialisation des limites de biens-fonds et des limites de droits distincts et permanents.En général matérialisés par des bornes ou des chevilles.

it: Direction de l'information du territoire

en: Points limites

it: Points limites

de: Points limites

fr: Points limites

en: CSV

en: GDB


en: Cette couche représente les signaux règlementant la circulation routière. La position réelle du panneau dans le territoire est donné par son support (voir couche OTC_SV_SUPPORT). Le signal est positionné autour du support dans un souhait cosmétique. La totalité de la signalisation verticale est composé de 3 couches (supports, signaux et plaquettes) qui sont regroupées dans le groupe de couches 'PANNEAUX DE SIGNALISATION ROUTIERE'

en: Office cantonal du génie civil

it: Office cantonal du génie civil

de: Office cantonal du génie civil

fr: Office cantonal du génie civil

en: geocat.ch permalink

en: Signalisation verticale - Signal

it: Signalisation verticale - Signal

de: Signalisation verticale - Signal

fr: Signalisation verticale - Signal

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti


en: Depuis décembre 2003, toutes les parcelles avant modification par une mutation juridique, soit par division ou réunion, sont transférées par duplication en couche historique des parcelles mensuration. Entre juin 2006 et février 2008 en plus de la règle ci-dessus, une partie des biens-fonds modifié par numérisation (amélioration de sa précision planimétrique) furent intégrer dans cette classe d'entités. Voir couche en vigueur : CAD_PARCELLE_MENSU Depuis mars 2008, tous biens-fonds subissant une modification géométrique ou attributaire sont intégré dans cette classe d'entités

canton-geneve

en: The canton of Geneva has been committed to making public data open for a few years now. On this portal, you will find all the data from the Geneva cantonal administration that meet the principles of Open Government Data, as well as geodata from the geographic information system of Geneva (SITG) that fall under the OpenData policy.

en: Canton of Geneva

de: Direction de l'information du territoire

fr: geocat.ch permalien

en: Historique des parcelles de la mensuration

regi

de: Regionen und Städte

it: Regioni e città

it: Serveur de fichiers Opendata

de: Serveur de fichiers Opendata

fr: Serveur de fichiers Opendata

it: CSV

de: CSV

it: GDB

en: GML


limitations-de-vitesse

en: Recensement des limitations de vitesse sur l'ensemble du canton. Il s'agit de zones englobant l'ensemble des routes restreintes à un type de restriction et la vitesse maximale autorisée. La signalisation verticale est utilisée pour la création de cette couche.

en: Limitations de vitesse

it: Limitations de vitesse

de: Limitations de vitesse

fr: Limitations de vitesse

title_for_slug: limitations-de-vitesse

en: Regions and cities

fr: CSV

de: GDB

fr: GDB

it: GML


en: REPERTOIRE DES ENTREPRISES DU CANTON DE GENEVE (REG) Le Répertoire des entreprises du canton de Genève (REG) contient des informations relatives à toutes entités (entreprise ou établissement) exercant une activité dans le canton de Genève. L'entreprise est une entité juridiquement autonome, avec ou sans personnalité juridique, organisée pour produire des biens ou fournir des services, avec ou sans but lucratif, à l'usage des particuliers ou des collectivités publiques, bénéficie d'une certaine liberté de décision quant à l'affectation des ressources et à l'utilisation des moyens destinés à la production de ces biens et services. L'établissement est le lieu topographiquement identifié dans lequel l'entreprise exerce son activité. Ne sont représentés que les entreprises dont le siège se trouve dans le canton de Genève et les établissements dont le point adresse est connu du SITG (IDPADR).

canton-geneve

de: Der Kanton Genf verfolgt seit einigen Jahren eine Open Data Strategie. Auf diesem Portal finden Sie Daten aus der kantonalen Verwaltung die die Prinzipien des Open Government Data erfüllen, sowie sämtliche "Open-Geodaten" des Genfer Geoinformationssystems (SITG). ***Die Datensätze finden Sie unter der betreffenden Organisation***

it: Il cantone di Ginevra si è impegnato in un processo di apertura dei dati pubblici per diversi anni. Su questo portale, è possibile trovare tutti i dati dell'amministrazione del cantone di Ginevra che soddisfano i principi del Open Government Data, inoltre ai geodati OpenData del Sistema Informativo Territoriale di Ginevra (SITG).

it: Cantone di Ginevra

en: Office cantonal de l'inspection et des relations du travail

en: Répertoire des entreprises (REG)

it: Répertoire des entreprises (REG)

de: Répertoire des entreprises (REG)

fr: Répertoire des entreprises (REG)

regi

fr: Régions et villes

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

en: Serveur de fichiers Opendata

de: GML


en: Une des 5 classes d'entités constituant le modèle 3D des bâtiments. Les superstructures du bâtiment correspondent aux éléments de toits dont la superficie est comprise entre 1 et 9 mètres carrés (chien-assis, cheminées...). Elles sont décomposées en 2classes d'entités : les "facades des superstructures" (éléments verticaux) et les "toits des superstructures" (couverture).

canton-geneve

fr: Le canton de Genève s'est engagé dans une démarche d’ouverture des données publiques depuis plusieurs années. Sur ce portail, vous trouvez toutes les données provenant de l'administration cantonale genevoise qui répondent aux principes de l'Open Government Data, ainsi que les géodonnées OpenData du Système d’Information du Territoire à Genève (SITG).

de: Kanton Genf

fr: Canton de Genève

en: Direction de l'information du territoire

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

en: Façade 3D des superstructures du bâtiment

en: CSV

en: GDB

fr: GML

en: SHP

it: SHP

de: SHP

fr: SHP


en: GRAPHE DE LA MOBILITE - VOIES NAVIGABLES : Le graphe de la mobilité est un regroupement des graphes de base, qui sont la forme géométrique des troncons, et des différentes jonctions (carrefours, arrêts, gares, débarcadères) qui sont les points de connexions, de transferts entre les différents graphes. Ces graphes représentent les différentes voies physiques (et non virtuelles, comme une ligne de bus) sur lesquelles les usagers circulent. Cette donnée: - Graphe navigable gmo_voie_navigable Autres données disponibles : - Graphe routier gmo_graphe_routier - Graphe de la mobilité douce gmo_mobilite_douce - Graphe des voies officielles gmo_graphe_voies_officielles - Graphe des accès parkings gmo_acces_parking - Graphe entretien autoroute gmo_entretien_autoroute - Graphe ferroviaire gmo_ferroviaire - Troncons en projet gmo_troncon_projet - Carrefours gmo_carrefour - Quais de gare gmo_quai_gare - Débarcadères gmo_debarcadere - Aéroports gmo_aeroport - Noeuds en projet gmo_noeud_projet

en: The canton of Geneva has been committed to making public data open for a few years now. On this portal, you will find all the data from the Geneva cantonal administration that meet the principles of Open Government Data, as well as geodata from the geographic information system of Geneva (SITG) that fall under the OpenData policy.

en: Canton of Geneva

it: Direction de l'information du territoire

en: Graphe de la mobilité - Voies navigables

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

tran

en: Transport


en: Cette couche fait partie du cadastre des marquages routiers, mis à disposition dans le groupe de couches 'MARQUAGES ROUTIERS'. La couche "VÉGÉTATION SUR LE DOMAINE PUBLIC" représente les arbres isolés, les haies et toute autre végétation proches des voies de circulation. Ces informations sont utiles à une bonne compréhension des marquages routiers et ne constituent pas un inventaire de la végétation.

en: Office cantonal du génie civil

it: Office cantonal du génie civil

de: Office cantonal du génie civil

fr: Office cantonal du génie civil

en: Marquages routiers - Végétation sur le domaine public

soci

en: Population and society

regi

en: Regions and cities

en: GML