regi

fr: Régions et villes

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: gefahren umwelt naturgefahr geobasisdaten bgdi-bundesgeodaten-infrastruktur

author: Abteilung Gefahrenprävention, Bundesamt für Umwelt

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

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

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

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

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

de: Vorschau map.geo.admin.ch

fr: Service WMS-IFDG, couche "Axe du profil en travers"

de: WMS-BGDI Dienst, Layer "Querprofilachse"

en: WMS-FSDI service, layer "Cross section securing point"

it: Servizio WMS-IFDG, strato "Asse del profilo trasversale"

fr: Service WMTS-IFDG, couche , Layer "Axe du profil en travers"

de: WMTS-BGDI Dienst, Layer "Querprofilachse"

en: WMTS-FSDI service, layer "Cross section securing point"

it: Servizio WMTS-IFDG, strato "Asse del profilo trasversale"

fr: STAC Browser

de: STAC Browser

en: STAC Browser

it: STAC Browser

de: Link zum Datenbezug

en: Link for download

fr: La carte indique les tronçons qui sont actuellement levés périodiquement sous la direction de l’OFEV. Le levé se fait en général tous les dix ans ou en fonction de grandes crues avec des variations morphologiques significatives. Les buts du levé périodique sont : - identifier en temps utile les tendances morphologiques (approfondissements, atterrissements) et leurs conséquences sur la stabilité des ouvrages de protection contre les crues et les capacités d’écoulement; - préparer des séries temporelles sur un grand nombre d’années concernant les modifications des lits des cours d’eau pour pouvoir quantifier le régime de charriage; - mettre à disposition les données actuelles pour les planifications et les évaluations des dangers. Les données de mensuration sont gérées par la division Prévention des dangers, section Gestion des risques.

de: Die Karte zeigt die Gewässerabschnitte, welche derzeit unter Federführung des BAFU periodisch vermessen werden. Die Vermessung erfolgt in der Regel alle 10 Jahre oder nach grossen Hochwasserereignissen mit bedeutenden morphologischen Veränderungen. Ziele der periodischen Vermessung sind: - die frühzeitige Erkennung morphologischer Trends (Eintiefungen, Auflandungen) und ihrer Auswirkungen auf die Stabilität wasserbaulicher Schutzbauten oder die Abflusskapazität; - die Bereitstellung langjähriger Zeitreihen zu Gerinneveränderungen als Basis zur Quantifizierung des Geschiebehaushalts; - die Bereitstellung aktueller Daten für Planungen und zur Gefahrenbeurteilung. Die Vermessungsdaten werden durch die Abt. Gefahrenprävention, Sektion Risikomanagement verwaltet.

en: The map shows the reaches of watercourses which are currently surveyed periodically under the leadership of the FOEN. They are usually surveyed every 10 years or after major floods which cause significant morphological changes. The aims of periodic surveying are to identify morphological trends (erosion, aggradation) at an early stage as well as their effects on the stability of flood protection structures or discharge capacity, to provide long-term time series on channel changes as a basis for quantifying the bed-load regime, and to provide current data for planning and risk assessment. The survey data is managed by the Risk Management section of the Hazard Prevention Division

it: La carta mostra i segmenti di corsi d'acqua misurati periodicamente sotto la guida dell'UFAM. La misurazione ha luogo di regola ogni dieci anni o in seguito a grandi piene con cambiamenti morfologici significativi. Gli obiettivi della misurazione periodica sono: - il riconoscimento tempestivo di tendenze morfologiche (sprofondamenti, sovralluvionamenti), e delle relative conseguenze per la stabilità delle opere idrauliche per la protezione contro le piene o la capacità di deflusso; - la predisposizione di serie storiche a lungo termine relative a cambiamenti del letto dei fiumi quale base per la quantificazione del bilancio del materiale solido di fondo; - la predisposizione di dati aggiornati per pianificazioni e la valutazione dei pericoli. I dati misurati vengono amministrati dalla Divisione Prevenzione dei pericoli, Sezione Gestione dei rischi.

fr: Division Prévention des dangers, Office fédéral de l'environnement

de: Bundesamt für Umwelt / Abteilung Gefahrenprävention

en: Hazard Prevention Division, Federal Office for the Environment

it: Divisione Prevenzione dei pericoli, Ufficio federale dell'ambiente

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

value: BAFU - Geocat Harvester

fr: Banque de données des profils d'écoulement (PE) - Axe du profil en travers

de: Datenbank Querprofile (QP) - Querprofilachse

en: Reaches surveyed - cross section securing point

it: Tratti misurati - Asse del profilo trasversale


regi

de: Regionen und Städte

de: gefahren umwelt bgdi-bundesgeodaten-infrastruktur geobasisdaten naturgefahr

state: active

type: dataset

fr: Aperçu map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

fr: Service WMS-IFDG, couche "Section de mesure"

de: WMS-BGDI Dienst, Layer "Vermessungsabschnitt"

en: WMS-FSDI service, layer "Surveyed sections"

it: Servizio WMS-IFDG, strato "Sezione di misurazione"

format: WMS

fr: Service WMTS-IFDG, couche , Layer "Section de mesure"

de: WMTS-BGDI Dienst, Layer "Vermessungsabschnitt"

en: WMTS-FSDI service, layer "Surveyed sections"

it: Servizio WMTS-IFDG, strato "Sezione di misurazione"

format: WMTS

fr: Lien vers la distribution des données

it: Link per le fonti dei dati

format: HTML

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

en: The map shows the reaches of watercourses which are currently surveyed periodically under the leadership of the FOEN. They are usually surveyed every 10 years or after major floods which cause significant morphological changes. The aims of periodic surveying are to identify morphological trends (erosion, aggradation) at an early stage as well as their effects on the stability of flood protection structures or discharge capacity, to provide long-term time series on channel changes as a basis for quantifying the bed-load regime, and to provide current data for planning and risk assessment. The survey data is managed by the Risk Management section of the Hazard Prevention Division.

spatial: Schweiz

political_level: confederation

type: organization

approval_status: approved

fr: Banque de données des profils d'écoulement (PE) - section de mesure

de: Datenbank Querprofile (QP) - Vermessungsabschnitt

en: Database of cross sections (CS) - surveyed sections

it: Banca dati dei profili trasversali (PT) - sezione di misurazione


elektro-leitungen

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

fr: Régions et villes

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: elektro-leitungen

de: geocat.ch Permalink

en: geocat.ch permalink

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

format: WFS

fr: Elektro Trasse, Bauwerke und Trassepunkte.

spatial: Canton of Uri (UR)

fr: Elektrizitätswerke

de: Elektrizitätswerke

en: Elektrizitätswerke

it: Elektrizitätswerke

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

political_level: canton

kanton-uri

capacity: public

value: Uri-Kt - Geocat Harvester

fr: Elektro Leitungen

de: Elektro Leitungen

en: Elektro Leitungen

it: Elektro Leitungen


abwasseranlagen-darstellung-eigentum

title_for_slug: abwasseranlagen-darstellung-eigentum

de: leitungskataster geobasisdaten

en: pipeline-cadastre official-geodata

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

fr: geocat.ch permalien

it: geocat.ch link permanente

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

fr: Abwasser Uri

de: Abwasser Uri

en: Abwasser Uri

it: Abwasser Uri

fr: Abwasseranlagen Darstellung Eigentum

de: Abwasseranlagen Darstellung Eigentum

en: Abwasseranlagen Darstellung Eigentum

it: Abwasseranlagen Darstellung Eigentum


wasser-leitungen-offentlich

regi

de: Regionen und Städte

title_for_slug: wasser-leitungen-offentlich

fr: 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.

fr: Gemeinden des Kt. Uri

de: Gemeinden des Kt. Uri

en: Gemeinden des Kt. Uri

it: Gemeinden des Kt. Uri

fr: Wasser Leitungen öffentlich

de: Wasser Leitungen öffentlich

en: Wasser Leitungen öffentlich

it: Wasser Leitungen öffentlich


abwasseranlagen-darstellung-nutzungsart

title_for_slug: abwasseranlagen-darstellung-nutzungsart

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

fr: Abwasseranlagen Darstellung Nutzungsart

de: Abwasseranlagen Darstellung Nutzungsart

en: Abwasseranlagen Darstellung Nutzungsart

it: Abwasseranlagen Darstellung Nutzungsart


fernwarme-leitungen

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

ener

fr: Énergie

title_for_slug: fernwarme-leitungen

fr: Fernwärme Trasse und Leitungspunkt.

de: Fernwärme Trasse und Leitungspunkt.

en: Fernwärme Trasse und Leitungspunkt.

it: Fernwärme Trasse und Leitungspunkt.

fr: Oeko Energie AG

de: Oeko Energie AG

en: Oeko Energie AG

it: Oeko Energie AG

fr: Fernwärme Leitungen

de: Fernwärme Leitungen

en: Fernwärme Leitungen

it: Fernwärme Leitungen


abwasseranlagen

educ

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

de: Energie

en: Energy

it: Energia

regi

fr: Régions et villes

envi

fr: Environnement

de: Umwelt

title_for_slug: abwasseranlagen

de: geocat.ch Permalink

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

fr: In diesem Datensatz werden alle Leitungen für verschmutztes und nicht verschmutztes Abwasser erfasst (Art. 26. Kantonales Umweltschutzgesetz, KUG). Weiter enthält dieser Datensatz Abwasserreinigungsanlagen, Versickerungsanlagen und Sonderbauwerke.

fr: Abwasseranlagen

de: Abwasseranlagen

en: Abwasseranlagen

it: Abwasseranlagen


wasser-leitungen-darstellung-eigentum

regi

en: Regions and cities

it: Regioni e città

envi

en: Environment

it: Ambiente

title_for_slug: wasser-leitungen-darstellung-eigentum

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

fr: geocat.ch permalien

en: geocat.ch permalink

it: WMS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

fr: 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: Lisag AG, Geoinformation Kanton Uri

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

fr: Wasser Leitungen Darstellung Eigentum

de: Wasser Leitungen Darstellung Eigentum

en: Wasser Leitungen Darstellung Eigentum

it: Wasser Leitungen Darstellung Eigentum


gestaltungsplane-perimeter

regi

de: Regionen und Städte

title_for_slug: gestaltungsplane-perimeter

de: eigentumsbeschrankungoreb nutzungsplanung raumplanung sondernutzungsplanung

author: Kanton Luzern, Abteilung Geoinformation

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Geltungsbereiche (Perimeter) von Gestaltungsplänen, welche eine siedlungsgerechte, architektonisch und erschliessungstechnisch gute Überbauung eines zusammenhängenden Gebietes sicherstellen.

spatial: Kanton Luzern

de: Kanton Luzern, Abteilung Geoinformation

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

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

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

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

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

value: LU-Kt - Geocat Harvester

de: Gestaltungspläne: Geltungsbereiche


tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

de: bergbahnen netzstruktur offentlicher-verkehr schienenverkehr schifffahrt verkehr

it: geocat.ch link permanente

de: Zeigt Haltestellen des öffentlichen Verkehrs, sowie Bahn-, Schiffs- und Buslinien.

de: Öffentlicher Verkehr: Haltestellen und Liniennetze Bahn, Bus und Schiff


wasserrechte

envi

de: Umwelt

title_for_slug: wasserrechte

de: konzession wasserrecht entnahme ruckgabe kanal wasserrechtskanal stauwehr stauwehrreglement wasserrechtskonzession eheliche-konzession wasserrechtsbezirk wasserrechtsnummer

de: geocat.ch Permalink

fr: WFS für Open-Government-Data des Kantons Zürich (OGD ZH WFS)

fr: Öffentliche Oberflächengewässer, Wasserrechte, Gewässerraum und Hochwasserrückhaltebecken

fr: Die konzessionierten Wasserrechte wurden ab 1997 mit den öffentlichen Oberflächengewässern im GIS erfasst und werden seit 1998 als eigener Datensatz in Abstimmung zu den öffentlichen Oberflächengewässern vom AWEL, Abt. Wasserbau nachgeführt. Seit Januar 2022 werden aktive und gelöschte Wasserrechte in getrennten Datensätzen zu Verfügung gestellt. Die Daten sind auf dem SDE Server vom GIS-ZH abgelegt unter: GISZHPUB.WASSERRECHTE_F für die Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_F für die gelöschten Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_L für die Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_L für die gelöschten Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_P für die Entnahme- und Rückgabeorte (Punktdaten) GISZHPUB.WASSERRECHTE_GELOESCHT_P für die gelöschten Entnahme- und Rückgabeorte (Punktdaten)

spatial: Kanton Zürich

fr: Kanton Zürich

de: Kanton Zürich

en: Kanton Zürich

it: Kanton Zürich

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

fr:
Le département de géomatique est le centre de compétence du system d'information géographique du canton de Zurich.
Nous coordinons l'aquisition des géodonnées d'intérêt commun sur le territoire cantonal et les mettons à disposition des
secteurs public et privé et des particuliers.

en:
The department of geoinformation is the geospatial competency center of the Canton of Zurich.
We coordinate the acquisition of geodata within the cantonal territory and provide public, private, and government sectors with data of outstanding quality.

de: Die Abteilung Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Zürich. Wir versorgen Gesellschaft, Wirtschaft und öffentliche Verwaltung mit qualitativ hochstehenden Geodaten und Informationen über den Kanton Zürich.

it: La divisione della geoinformazione è il centro d'eccellenza del Cantone di Zurigo per dati georeferenziati. Mettiamo a disposizione dati geografici e informazioni di alta qualità per l'economia, la società e la pubblica amministrazione su tutto il cantone.

value: ZH - Geocat Harvester

fr: Wasserrechte

de: Wasserrechte

en: Wasserrechte

it: Wasserrechte


baugebietsgrenze-nutzungsplanthema

regi

fr: Régions et villes

de: Regionen und Städte

envi

fr: Environnement

title_for_slug: baugebietsgrenze-nutzungsplanthema

author: Abteilung Raumentwicklung

de: AGIS Direktdownload

de: Baugebietsgrenze (Nutzungsplanthema)

de: Der Datensatz beinhaltet die Aussengrenze des Baugebietes inklusive Strassen und Gewässer. Der Datensatz wird direkt aus den Daten der Nutzungsplanung (Nutzungsplanung: Grundnutzung; Dissolve KTCode < 2000) erstellt.

de: Abteilung Raumentwicklung

de: AGIS Service Center Kanton Aargau

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.

value: Aargau-Kt - Geocat Harvester


de: Bauzonen Grundnutzung (themenspezifischer Auszug aus den Nutzungsplandaten)

de: Die Daten beinhalten die Grundnutzung der Bauzonen aus den genehmigten Bauzonenplänen der Gemeinden und können bei gezielten Fragen zum Thema Nutzungsplanung verwendet werden. Sie werden vom Datensatz "Nutzungsplanung: Grundnutzung" ableitet (KTCode < 2000 gemäss Zonensystematik). Der Datensatz der Bauzonen umfasst sämtliche Aargauer Gemeinden, ist nach einheitlichen Kriterien erfasst mit Angabe der Originalzonenbezeichnung des rechtsgültigen Bauzonenplans, Ausnützungsziffer, Lärmempfindlichkeitsstufe gemäss LSV. Auch der Stand der Überbauung (Überbauungsstand der Bauzonen) mit 4 Kategorien ist darin enthalten: weitgehend überbaut, baureif, baureif in 5 Jahren, langfristige Baureserven.


de: Weiler (themenspezifischer Auszug aus den Nutzungsplandaten)

de: Die Daten beinhalten Weilerzonen aus den genehmigten Kulturlandplänen der Gemeinden und können bei gezielten Fragen zum Thema Landschaft verwendet werden. Sie werden vom Datensatz "Nutzungsplanung: flächenbezogene Überlagerungen" ableitet (KTCode = 4111 (neurechtlich) und KTCode = 5911 (altrechtlich) gemäss Zonensystematik).


envi

de: Umwelt

de: Die Tabelle beinhaltet eine Auflistung aller Nutzungsplanrevisionen sowie Sondernutzungsplanungen. Es sind Geschäftsnummern und -bezeichnungen, Genehmigungsdaten sowie Attribute zur Geschäftsverwaltung verfügbar.

de: Geschäftsereignisse der (Sonder-) Nutzungsplanung


de: geocat.ch Permalink

de: Nutzungsplanung: objektbezogene Überlagerungen (im Bauzonen- und Kulturlandplan)

de: Die Daten enthalten alle objektbezogenen Überlagerungen (aus rechtsgültigen Bauzonen- und Kulturlandpläne), inkl. Natur- und Kulturobjekte. Die Daten entsprechen im Wesentlichen dem kantonalen Datenmodell der Nutzungsplanung. Weitere Stichworte: Aussichtspunkt, Bäume, Weiher, Amphibienstandorte, Feuchtgebiete, geologisches Objekt, Grenzstein, Wegkreuz, Brunnen, Standort für landwirtschaftliche Anlagen


regi

de: Regionen und Städte

de: Nutzungsplanung: Grundnutzung (im Bauzonen- und Kulturlandplan)

de: Der Datensatz enthält die Grundnutzungen des Bauzonenplans und des Kulturlandplans (rechtskräftige Bauzonen- und Kulturlanpläne aller Aargauer Gemeinden). Er beinhaltet die Originalbezeichnungen, Ausnützungsziffer, Lärmempfindlichkeitsstufen gemäss LSV und der Stand der Überbauung. Sie enthalten eine Vielzahl von Themen wie z.B. Gewässerraum. Die Daten entsprechen im Wesentlichen dem kantonalen Datenmodell der Nutzungsplanung. Weitere Stichworte: Wohnzonen, Arbeitszonen, Kernzonen, Altstadtzone, Dorfkernzone, Zone für öffentliche Bauten und Anlagen, militärische Anlagen, Grünzone, Freihaltezone, Gewässerraumzone, Freizeit, Erholung, Bäderzone, Pferdehaltung, Flugplatz, Landwirtschaft, Rebbau, Naturschutzzonen, Magerwiesen, Feuchtstandort, Pferdehaltung, Reitsportzone, Campingzone, Freiraumaktivität, Freizeit, Materialabbau, Rekultivierung, Deponie, militärische Bauten, Fahrende


de: AGIS Direktdownload

de: Nutzungszonen im Kulturlandplan (themenspezifischer Auszug aus den Nutzungsplandaten)

de: Die Daten beinhalten die Grundnutzung der Kulturlandpläne der Gemeinden und können bei gezielten Fragen zum Thema Nutzungsplanung verwendet werden. Sie werden vom Datensatz "Nutzungsplanung: Grundnutzung" ableitet (KTCode >2000 gemäss Zonensystematik) und werden nach einheitlichen Kriterien erfasst mit Angabe der Originalzonenbezeichnung des rechtsgültigen Kulturlandplanes der jeweiligen Gemeinde.


tran

de: Verkehr

author: Abteilung Verkehr

de: öV-Linien

de: Der Datensatz enthält Informationen zur Linienführung der Buslinien, Tramlinien, Zuglinien und Schifffahrten im Kanton Aargau (ÖV Liniennetz).

de: Abteilung Verkehr

de: AGIS Service Center Kanton Aargau

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.


envi

de: Umwelt

de: In diesem Datenpaket sind alle Genehmigungsinhalte der Nutzungs- und Sondernutzungsplanung enthalten. Die Daten sind vier Ebenen unterteilt: Grundnutzung: Diese Ebene enthält alle genehmigten Zonen der Grundnutzung in Bauzonen und Kulturland sowie Zonen als Orientierungsinhalt (z.B. Wald, National- und Kantonalstrassen). Flächenbezogene Überlagerungen: Diese Ebene enthält alle genehmigten Überlagerungen, die als Fläche ausgeschieden werden. Darin sind beispielsweise überlagerte Schutzzonen, Gefahrenzonen, Sondernutzungspläne, Bereiche mit Sondernutzungsplanpflicht oder Flächen mit speziellen BNO-Regelungen enthalten. Linienbezogene Überlagerungen: Diese Ebene enthält alle genehmigten linienförmigen Elemente, die die Grundnutzung überlagern. Themen sind beispielsweise Hecken innerhalb und ausserhalb der Bauzone, Uferschutzstreifen und Baulinien gegenüber Wald. Objektbezogene Überlagerungen: Diese Ebene enthält punktbezogenen Überlagerungen, insb. Natur- und Kulturobjekte. Sie finden Daten zur Grundnutzung der Bauzonen und Kulturlandplan sowie überlagerte Festlegungen zu diversen Themen wie Schutzbereiche, Waldabstandslinien oder Lärmempfindlichkeitsstufen.

de: Abteilung Raumentwicklung

de: Daten der (Sonder-) Nutzungsplanung (nach kantonalem Datenmodell)


de: geocat.ch Permalink

de: Nutzungsplanung: flächenbezogene Überlagerungen inkl. Sondernutzungspläne (im Bauzonen- und Kulturlandplan)

de: Die Daten enthalten alle flächenbezogenen Überlagerungen des Bauzonen- und Kulturlandplans- inkl. der Schutzräume, Gefahrenzonen, Bereiche mit Sondernutzungsplanpflicht, Bereiche rechtsgültiger Sondernutzungspläne (Gestaltungsplan/Erschliessungsplan) und Gebiete mit weiteren Sonderregelungen. Die Daten entsprechen im Wesentlichen dem kantonalen Datenmodell der Nutzungsplanung. Weitere Stichworte: Gewässerraum, Gewässerräume, Ortsbildschutz, Ensembleschutz, Weilerzone, Tourismuszone, Erholungszone, Militär, Hochstammobstbestand, Naturschutzzonen, Arealentwicklung, befristete Zonen, Entwicklungsstandorte Landwirtschaft, Volumenschutz, Substanzschutz, Verkaufsnutzung, Gebäude unter Schutz


regi

de: Regionen und Städte

de: Nutzungsplanung: linienbezogene Überlagerungen (im Bauzonen- und Kulturlandplan)

de: Die Daten enthalten alle linienbezogenen Überlagerungen aus den rechtsgültigen Bauzonen- und Kulturlandplänen. Die Daten entsprechen im Wesentlichen dem kantonalen Datenmodell der Nutzungsplanung. Stichworte: Hecken, Waldränder, Uferschutzstreifen (Gewässerräume), Waldabstandslinien, Waldbaulinien


de: AGIS Direktdownload

de: Gewässerraumzonen in der Nutzungsplanung (thematischer Auszug aus den Nutzungsplandaten)

de: Die Daten beinhalten Gewässerraumzonen aus den genehmigten Nutzungsplänen der Gemeinden und können bei gezielten Fragen zum Thema Gewässer verwendet werden. Sie werden vom Datensatz "Nutzungsplanung: flächenbezogene Überlagerungen" ableitet, dabei sind flächig definierte Gewässerräume (Grundnutzung und Überlagerung) darin enthalten. Dieser Datensatz enthält auch Uferschutzzonen, die noch nicht den Vorgaben des GSchG entsprechen. Nicht enthalten sind Gewässerraumbestimmungen von Gewässern unbestimmter Lage (diese sind im Datensatz are_DNPGWRLine enthalten).


wanderwegsignalisation

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

title_for_slug: wanderwegsignalisation

fr: WFS-Dienst des Kantons Schwyz

de: WFS-Dienst des Kantons Schwyz

en: WFS-Dienst des Kantons Schwyz

it: WFS-Dienst des Kantons Schwyz

fr: Wanderweg: Signalisationsbeschriftung

de: Wanderweg: Signalisationsbeschriftung

en: Wanderweg: Signalisationsbeschriftung

it: Wanderweg: Signalisationsbeschriftung

fr: Wanderweg: Signalisation

de: Wanderweg: Signalisation

en: Wanderweg: Signalisation

it: Wanderweg: Signalisation

fr: Punktdatensatz mit den Wegweiserstandorten der Wanderwege des Kantons Schwyz. Durch das Anklicken eines Wegweiserstandortes wird ein PDF geöffnet, in welchem die Standortformulare (gelbe Wegweiserschilder mit Ziel- und Zeitangaben etc.) dargestellt sind. Als Vorbild dient das WebGIS des Kantons Nidwalden: https://www.gis-daten.ch/map/nw_wanderwege.

spatial: Kanton Schwyz (SZ)

fr: SZ Tiefbauamt

de: SZ Tiefbauamt

en: SZ Tiefbauamt

it: SZ Tiefbauamt

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

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

value: SZ-Kt Geoinformation - Geocat Harvester

fr: Wanderwegsignalisation

de: Wanderwegsignalisation

en: Wanderwegsignalisation

it: Wanderwegsignalisation


educ

en: Education, culture and sport

it: Istruzione, cultura e sport

regi

en: Regions and cities

it: Regioni e città

fr: geocat.ch permalien

de: geocat.ch Permalink

fr: Wanderwege

de: Wanderwege

en: Wanderwege

it: Wanderwege

fr: Das Wanderwegnetz des Kantons Schwyz besteht aus Hauptwanderwegen (Zuständigkeit Kanton), Verbindungswanderwegen (Zuständigkeit Gemeinden und finanzielle Beteiligung Kanton) und kommunalen Wanderwegen (Zuständigkeit Gemeinden). Diese drei Wanderweg-Arten ergeben das gelb markierte Wanderwegnetz (gem. Vorgaben der Schweizer Wanderwege SAW). Die Klassifizierung des Wanderwegnetzes basiert nicht auf den Zuständigkeiten, sondern auf den den Schwierigkeitsgraden. Wanderwege sind gelb signalisiert, Bergwanderwege gelb mit weiss-rot-weisser Spitze und Alpinwanderwege blau.


wanderwegplan

de: Regionen und Städte

tran

fr: Transports

de: Verkehr

title_for_slug: wanderwegplan

fr: zustandigkeit wanderweg

de: zustandigkeit wanderweg

en: zustandigkeit wanderweg

it: zustandigkeit wanderweg

en: geocat.ch permalink

fr: Wanderwegplan

de: Wanderwegplan

en: Wanderwegplan

it: Wanderwegplan

fr: Einteilung in Haupt-, Verbindungs-, kommunale Wanderwege


regi

fr: Régions et villes

tran

en: Transport

it: Trasporti

de: kor bern-baut bernbaut

author: Tiefbauamt Stadt Bern

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

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

de: Baustellen

de: Web Map Services WMS

de: WFS Baustellen

de: Web Feature Services WFS

de: Aktuelle Baustellen auf öffentlichem Grund (Strassenraum). Die Daten kommen über eine Schnittstelle automatisch aus dem Koordinations-Tool (Koordination öffentlicher Raum).

spatial: Stadt Bern

de: Tiefbau Stadt Bern

geoinformation-der-stadt-bern

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

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

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

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

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

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

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester


bikewegnetz-im-aufbau-ur

title_for_slug: bikewegnetz-im-aufbau-ur

de: geocat.ch Permalink

it: geocat.ch link permanente

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Bikewegnetz des Kanton Uris. Der Datensatz befindet sich im Aufbau und enthält deshalb noch nicht das ganze offizielle Bikewegnetz des Kanton Uris. Zurzeit sind hauptsächlich die in Schweiz Mobil erfassten Bikewege aufgeführt.

fr: Amt für Raumentwicklung Kt. Uri

de: Amt für Raumentwicklung Kt. Uri

en: Amt für Raumentwicklung Kt. Uri

it: Amt für Raumentwicklung Kt. Uri

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

fr: Bikewegnetz [im Aufbau] (UR)

de: Bikewegnetz [im Aufbau] (UR)

en: Bikewegnetz [im Aufbau] (UR)

it: Bikewegnetz [im Aufbau] (UR)


grundwasserschutzzonen-differenz-ur

regi

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: grundwasserschutzzonen-differenz-ur

author: Amt für Umwelt Kt. Uri

fr: Grundwasserschutzzonen dienen dazu, Trinkwassergewinnungsanlagen und das Grundwasser unmittelbar vor seiner Nutzung als Trinkwasser vor Beeinträchtigungen zu schützen. Sie sind um die im öffentlichen Interesse liegenden Grundwasserfassungen auszuscheiden, d.h. um alle Fassungen, deren Wasser den Anforderungen der Lebensmittelgesetzgebung entsprechen muss, sowie um Grundwasser-Anreicherungsanlagen. Die Grundwasserschutzzonen sind das wichtigste Instrument des nutzungsorientierten, planerischen Grundwasserschutzes. Grundwasserschutzzonen werden gegliedert in: Zone S1 (Fassungsbereich), Zone S2 (Engere Schutzzone), Zone S3 (Weitere Schutzzone)

fr: Amt für Umwelt Kt. Uri

de: Amt für Umwelt Kt. Uri

en: Amt für Umwelt Kt. Uri

it: Amt für Umwelt Kt. Uri

fr: Grundwasserschutzzonen Differenz (UR)

de: Grundwasserschutzzonen Differenz (UR)

en: Grundwasserschutzzonen Differenz (UR)

it: Grundwasserschutzzonen Differenz (UR)


grundwasserschutzareale-differenz-ur

title_for_slug: grundwasserschutzareale-differenz-ur

de: grundwasserschutzareal geobasisdaten

fr: geocat.ch permalien

fr: Grundwasserschutzareale sind speziell ausgeschiedene Gebiete, in welchen der Schutz des unterirdischen Gewässers im Hinblick auf eine künftige Grundwasserbewirtschaftung (Nutzung oder Anreicherung) vorsorglich sichergestellt werden soll. In diesen Arealen dürfen keine Bauten und Anlagen erstellt werden, welche die künftige Bewirtschaftung beeinträchtigen können.

fr: Grundwasserschutzareale Differenz (UR)

de: Grundwasserschutzareale Differenz (UR)

en: Grundwasserschutzareale Differenz (UR)

it: Grundwasserschutzareale Differenz (UR)


regi

en: Regions and cities

it: Regioni e città

de: baulinie eigentumsbeschrankungoreb fliessgewasser nutzungsplanung oberflachengewasser raumplanung strasse

de: Datenshop

de: Produktansicht Geodatenshop

de: Kantonale und kommunale Baulinien, welche die Bauabstände von Strassen, Gewässern usw. festlegen. Sie dienen der Sicherung von Anlagen und Flächen sowie der baulichen Gestaltung.

de: Kanton Luzern, Abteilung Geoinformation

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

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

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

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

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

de: Baulinien nach Strassen- und Baulinienplänen


nutzungsplanung-planungszonen

fr: Régions et villes

title_for_slug: nutzungsplanung-planungszonen

de: bewilligungen eigentumsbeschrankungoreb nutzungsplanung raumplanung zonenplan

de: geocat.ch Permalink

en: geocat.ch permalink

de: Mit Planungszonen wird sichergestellt, dass in den betroffenen Gebieten nur Vorhaben zulässig sind, die der geplanten künftigen Nutzung nicht widersprechen.

de: Nutzungsplanung: Planungszonen


radar-wind-profiler-davos-wolfgang

maintainer: Maxim Hervo

title_for_slug: radar-wind-profiler-davos-wolfgang

en: wolfgangpass wind-speed wind-direction raclets radar

en: Radar Wind Profiler Data

media_type: application/zip

en: A Vaisala Lap3000 was installed at Davos Wolfgang to record wind profiles. The time format is number of days fom January 0, 0000 in UTC with a 10 minute resolution.

format: ZIP

mimetype: application/zip

en: The RADAR wind profiler from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 2171 m above sea level to 11079 m, with a temporal resolution of 10 minutes.

raclets

display_name: raclets

radar

display_name: radar

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

wolfgangpass

display_name: wolfgangpass

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

key: guid

key: uri

value: Envidat Harvester

en: RADAR Wind profiler Davos Wolfgang


maintainer: Lina Torregroza

en: european-landscape-convention landscape-perception landscape-ecology ecosystem-services landscape

en: Areas left to nature are areas in which natural processes can take place essentially undisturbed and direct human influences determine the (current) development only to a small extent. In such areas, the composition of animal and plant communities differs from that in the cultivated landscape. The areas left to nature in Switzerland can be divided into "wilderness areas" in the forest (forest wilderness), areas left to nature in the high mountains (alpine fallow) and areas along water bodies (floodplains). The areas may or may not be accessible. Of central importance is the intensity of human activities.

en:
The social indicators for LABES were collected with a Swiss-wide representative survey. The first survey was conducted in 2011 (n = 2814 participants), the second in 2020 (n = 2090 participants). The “Auswertungsprotokolle” inform about the results of each indicator in 2020 and compared to the state of 2011.
Indicator list:
Indicator 23 Ortsbindung / place attachment
Indicator 24 Landschaftliche Schönheit / visual landscape quality or beauty
Indicator 25 Besonderheit (Eigenart und Vergangenheitsbezug)/ place identity
Indicator 27 Wahrgenommener Informationsgehalt der Landschaft: Komplexität, Entdeckungspotenzial, Kohärenz, Lesbarkeit / Kaplans’ preference matrix: complexity, mystery, coherence, legibility

Indicator 29 Faszination / soft fascination
Indicator 30 Authentizität /authenticity
Indicator Neu_16 Erholung und Landschaft (Erholungsindex, Zugang, Outdoorsport) / recreation and landscapes (recreationindex, access, outdoor sports)
Indicator Neu_17 Beobachtete Landschaftscharakterisierung / perceived landscape charachterization
Indicator Neu_18 Beobachtete Landschaftsveränderungen / perceived landscape changes
Indicator Neu_20 Wahrgenommene Landschaftsqualität in den Grundnutzungen oder Texturen (Wald, Landwirtschaft, Siedlungsflächen, Gewässer)/ Perceived landscape quality in the different land use areas (forest, agriculture, settlement areas, water bodies)
Indicator Neu_22 Gesamturteil zur wahrgenommenen Landschaftsqualität / overall satisfaction
Indicator Neu_23 Kulturelle Landschafswerte / cultural values and services of the landscape

en: This indicator shows the situation of wind energy in Switzerland. Firstly, we locate the current wind turbines and wind farms in Switzerland and compare their location with the wind speed map and the federal government's base map concerning the main wind potential areas. Secondly, we analyse the development of wind energy in Switzerland over the years and the efficiency of such structures.

en: This indicator shows the status of transmission lines in Switzerland and analyses the land cover on which these infrastructures are built. Transmission lines are assessed on the basis of TLM data. An extract from TLM_VERSORGUNGSBAUTE (OBJEKTART: Hochspannungsleitungen) is used to calculate the length consumption. In addition, the area statistics layer (NOLC04) is used to differentiate land types into different categories. The total length of transmission lines in Switzerland, in the different biogeographical regions and in the different cantons is calculated by overlay operations for year 2015 and year 2020 (see appendices for further details).

en: Transport infrastructure such as highways, connecting roads and railroads, as well as settlement areas divide a landscape into individual areas separated from each other. To measure the degree of landscape fragmentation, the metric of "effective mesh size" (meff) was used (Jaeger 2000). It expresses the probability that there are no separating elements, such as traffic routes or settlements, between two randomly selected points. The more separating elements cut up the landscape, the lower this probability and the smaller the effective mesh size.

en: Indicator 4 describes the length and area of roads and railroads for the year 2020, as well as the changes between different points in time. The calculation of length and area consumption is based on the Topographic Landscape Model TLM and TLM3D of the Federal Office of Topography. Before 2014, changes were recorded in a sampling procedure based on landscape elements and extrapolated to subspaces and the whole of Switzerland. Since 2015, however, it has been possible to use data directly for the whole of Switzerland.

en: Indicator 31a describes the accessibility of water bodies in Switzerland. Water bodies are popular recreational areas. In order to be used by the population, therefore they should be freely accessible.

en: For many people, "untouched landscape" is the very essence of nature. There are hardly any places left in Switzerland that have no human influence. But you can find regions where human influence is not so obvious. These are areas where no human buildings and installations can be seen. Areas free of facilities are therefore the most natural areas that can be found in Switzerland.

en:
This indicator shows the state of vegetation within urban areas in Switzerland. On the one hand, the entire vegetation period is considered, taking into account all data from mid-May to mid-September. On the other hand, an additional analysis focuses on the spring period from mid-May to the end of June in order to observe only the growing season, which in the vast majority of cases is not yet affected by drought stress.
The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are required to cover the extent of Switzerland.

en: This is the general readme for all LABES datasets.

en: This indicator shows the agricultural intensity in Switzerland using satellite data by calculating the NDVI values for each growing season and, in particular, observing the standard deviation of these values over the years. The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are needed to cover the extent of Switzerland.

en: This indicator quantitatively describes land consumption for settlement and the change in Switzerland's settlement area based on data from Switzerland's land use statistics (Swiss Federal Statistical Office FSO).

en:
Remoteness implies distance from a reference. In the case of an actual journey through a remote landscape, this distance can mean the physical distance from society or from signs of civilisation. In solitude, individuals face the elements of nature and thus move a step away from the backing of security provided by civilised society.
To calculate the remoteness of each grid cell per time period, the "Path Distance" ArcGIS tool is used. This calculates the cost between each grid cell and the settlement areas (pixels with >15 people) as the shortest trajectory. The surface distance is calculated from the horizontal and vertical distance (including the digital elevation model DHM25) and a cost grid, which assigns to each cell the costs incurred when passing through this area. As soon as the trajectory meets (or starts on) a road on which the settlement can be reached, the journey time by public transport or by private means of transport is calculated and the shorter of the two journey times is used.

en: Indicator 1 quantitatively describes the forest area of Switzerland and its change. The required data on forest area are calculated using the area statistics (Swiss Federal Statistical Office, SFSO).

en: Indicator 11a describes the change in the length of watercourses in Switzerland between different points in time. The changes are systematically recorded on the basis of the changes in the national maps 1:25,000, later Vector25 and from about 2012 using TLM3D. With this evaluation protocol (2022), the sampling procedure of "Landschaft unter Druck" is used for the last time. It consists of 152 sampling rectangles in which the changes are recorded and extrapolated to the whole of Switzerland. From TLM3D (2020) onwards, the extrapolation is guaranteed for the entire area of Switzerland.

en: The degree of imperviousness indicates the sealed surface area as a percentage. The LABES indicator 7 is surveyed with the area statistics Switzerland. The survey interval of the areal statistics is 12 years for the first 3 surveys and 9 years for the fourth survey of the areal statistics; therefore, short-term developments in the change of the sealed surface cannot be recorded.

en: This indicator measures the average number of different uses of agricultural land in Switzerland. It is thus a measure of the diversity of agricultural land. The agricultural structure survey is used to record the diversity of use.

en: As a metric for characterising urban sprawl, the measure of urban sprawl (Z or weighted urban permeation WUP) was first propagated by Jaeger et al. (2008). We use this measure here. Urban sprawl is expressed in DSE/m2. The metric was refined within the framework of the National Research Programme 54 "Sustainable settlement and infrastructure development" in the project "Landscape sprawl Switzerland - Quantitative analysis 1935 to 2002 and implications for spatial planning" (Jaeger et al. 2008).

en: Indicator 2 describes the quantitative change in Switzerland's agricultural area excluding summer pastures. It contributes to assessing the basic agricultural use, which is very important for the landscape. This has a significant impact on the character of the landscape and on biodiversity.

en: Light emissions in 500m resolution for entire Switzerland for the periode 2014-2020 using VIIRS-VCSML

en: Indicator 8 quantitatively describes the Euclidean distance from each point of a 12.5x12.5m grid outside the building zone to the nearest building. This is a revision based on a new calculation method.

en: Summer pastures make up the majority of extensively used agricultural land in Switzerland. Summer pastures are located at altitudes that do not allow intensive use of the land, as is the case in the Central Plateau. Fertiliser use is either non-existent or limited. The indicator helps to measure changes in a basic agricultural use that is very important for the mountain landscape. It is a major determinant of landscape character and biodiversity.

en: Indicator 35 describes the accessibility with footpaths and hiking trails less than 2m wide. The basis for this is the Topographic Landscape Model (TLM and TLM3D) of the Federal Office of Topography. The data are given in km/km2 and are broken down by land use. The land use categories settlement, forest and open land are extracted from the area statistics of the Federal Statistical Office. Contrary to the initial calculation in 2015, we have abandoned the official attribute "hiking trail", as it has been shown that official "hiking trails" are also routed over longer distances along major roads. The current definition has to do solely with the width of the path (max. width 2m) and not with the official designation. This is closer to the quality of a trail than the official designation "hiking trail".

en:
The Swiss Landscape Monitoring Program (LABES) records both the physical and the perceived quality of the landscape with about 30 indicators. The surveys of the physical aspects are largely based on evaluations of data available throughout Switzerland from swisstopo and the Federal Statistical Office (FSO). Another significant part of the data comes from a nationwide population survey on landscape perception.
This dataset describes data that have been assembled in the 2020 update of the Swiss Landscape Monitoring Program LABES.

ecosystem-services

display_name: ecosystem-services

european-landscape-convention

display_name: european-landscape-convention

landscape

display_name: landscape

landscape-ecology

display_name: landscape-ecology

landscape-perception

display_name: landscape-perception

en: LABES 2 Indicators of the Swiss Landscape Monitoring Program


maintainer: EnviDat Support

en: lidar lee-side-flow-field tls preferential-deposition alpine3d

en: Dataset

en:
The data presented here corresponds to the publication "A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation" (Gerber et al., 2017), which investigates an eddy-like structure in the vicinity of the Sattelhorn in the Dischma valley (Davos Switzerland) and its influence on snow accumulation. The dataset contains:

* Alpine3D: Alpine3D snow depth grids (25 m resolution) for two simulations with and without snow redistribution.
* ARPS: 10 ARPS simulations (25 m horizontal resolution) with different model setups (wind direction, wind speed, stability).
* LiDAR: Processed LiDAR PPI (D2_PPI_1h) and RHI (D2_cross_1h) across the valley with a hourly resolution for the period 27 October 2015 01:00 - 29 October 2015c 21:00 (spatial resolution: 25 m).
* meteostations-dischma: Meteorological station data of two meteorological stations in the Dischma valley with 10 minute resolution for the period 28 October 2015 - 30 October 2015.
* TLS: Snow depth change data (m) between 28 October 2015 and 30 October 2015 based on terrestrial laser scans.

For more details about the simulation and observation data, see Gerber et al., 2017.

Publication: Gerber et al., 2017: A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation, submitted to JGR - Atmospheres.

lee-side-flow-field

display_name: lee-side-flow-field

lidar

display_name: lidar

preferential-deposition

display_name: preferential-deposition

tls

display_name: tls

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: DISCHMEX - Observations and simulations of the close-ridge small-scale atmospheric flow field and snow accumulation at Sattelhorn, Dischma valley, Davos, Switzerland.


en: reflection mountain snow irradiance energy albedo photovoltaic

en: Windows users use the 7-zip app to extract the zip-file.

en: PV Data

format: XLS

en:
 Overview
The SUNWELL Modelling Environment is a combination of data and code that models electricity production from satellite-derived irradiance data and other spatial data sets for all of Switzerland. This ensemble accompanies the publication "The bright side of PV production in snow-covered mountains", published in the Proceedings of the National Academy of Science and reproduces all results and figures of. Code and resources are in their original form (with documentation). A new version with a more generalized application to PV modelling and with more flexibility in terms of input and output formats will be released in the coming months.

 Format
All code is written and has to be executed in Matlab. The input and output data sets are also in the Matlab-specific .mat format. Whenever publicly available, the original data is provided as geotif, .xlsx or other common format.
This is the case for:

- Digital Elevation Model (InputsFromMatlab/MSG/OriginalData/ASTERDEM),
- Landsurface cover type (InputsFromMatlab/MSG/OriginalData/CORINE),
- Population Density (InputsFromMatlab/MSG/OriginalData/popdensRaster,
- Electricity production from three of our validation sites (/Validation/WSL),
- Measured irradiance for two validation sites (/Validation/ASRB)
The ‘Metadata’ documents in the respective folders provide further information about the data sources and processing. Figures are produced either in .pdf or .png format.

 Structure
The central level of the SUNWELL environment holds the 5 Mains, which run the different modelling aspects of the paper; each code is documented separately. Additional code is located in the ‘DataProcessing’ and the ‘functions’ folder. Functions are called in the different Mains.

‘InputsFromMatlab’ contains the radiation and albedo input data sets in separate subfolders (SIS/SISDIR/ALB). The original data is not publicly available, but can be requested for research purposes free of charge. We provide a processed subset of the data set that was used to run the SUNWELL simulations. The MSG subfolder contains additional spatial input data sets.

‘Outputs’ contains the output files from the different mains (matching names, Main_CHallpixels.m  Prod_CHallpixels)

‘Publication_figures’ contains all individual figures from the PNAS publication, as well as the generating code (/code_plot) and the power point figures (/ppts) that provide the combined final figures.

‘Validation’ contains the data sets used in the model validation:

- Electricity production from three of our validation sites (/WSL),
- Measured irradiance for two validation sites (/ASRB)

Electricity production from a validation site at Lac des Toules in Wallis (/LDT), this data set was provided under an NDA and cannot be made publicly available.

Paper Citation:
 > _Annelen Kahl; Jérôme Dujardin; Michael Lehning (2018). Dataset on PV Production in Snow Covered Mountains. PNAS - Proceedings of the National Academy of Sciences. (in press)_

albedo

display_name: albedo

energy

display_name: energy

irradiance

display_name: irradiance

mountain

display_name: mountain

photovoltaic

display_name: photovoltaic

reflection

display_name: reflection

snow

display_name: snow


maintainer: Frank Techel

en: snowpack-model machine-learning avalanche natural-avalanches avalanche-size

en: Data set AV3 was used for validation of the avalanche-day classifier (Sections 2.1.3 and 3.3(1) in Mayer et al.).

en: Data set AV2 used for training the avalanche-size estimator (Sections 2.1.2 and 3.2 in Mayer et al.)

en: Data set DL was used for validation of the avalanche-day classifier and the avalanche-size estimator. The data set contains the quality-checked danger levels merged with the respective SNOWPACK simulations (Sections 2.3 and 3.3(2) in Mayer et al.).

en: Data set AV1 was used for training the avalanche-day classifier (Sections 2.1.1, 2.2, and 3.1 in Mayer et al.).

en:
The data set contained in this repository was used in the analysis by Mayer et al. (2023):
Mayer, S. I., Techel, F., Schweizer, J., and van Herwijnen, A.: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations, EGUsphere, https://doi.org/10.5194/egusphere-2023-646, 2023.

avalanche

display_name: avalanche

avalanche-size

display_name: avalanche-size

machine-learning

display_name: machine-learning

natural-avalanches

display_name: natural-avalanches

snowpack-model

display_name: snowpack-model

en: Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations


en: wet-snow-avalanche snow-stratigraphy snow-instability climate-change snow avalanche dry-snow-avalanche climate-projections

en: Climate scenarios .smet

en: contains one .smet file per combination of station, climate model chain and RCP scenario. Each .smet file contains the downscaled meteorological data (time span 1.9.1981-31.8.2099) that was used to drive the SNOWPACK simulations.

en: SNOWPACK settings

en: contains .ini and .sno file indicating the settings used to drive SNOWPACK with the climate scenarios

en: Projections of avalanche activity

en: contains one file per IMIS station that indicates the daily probability for the occurrence of dry- or wet-snow avalanches in the vicinity of the respective station for each day during the time period 1.12.1981-31.05.2099 (months December to May) and all climate model chains and RCP scenarios.

media_type: text/plain

format: TXT

en:
This data set includes 21st century projections of dry- and wet-snow avalanche activity for seven sites in the Swiss Alps as well as the downscaled climate scenarios and SNOWPACK configuration files used to produce these projections. The methods used to produce these data are described in the research article:
Mayer, S., Hendrick, M., Michel, A., Richter, B., Schweizer, J., Wernli, H., and van Herwijnen, A.: Changes in snow avalanche activity in response to climate warming in the Swiss Alps, EGUsphere, 2024, 1-32, https://doi.org/10.5194/egusphere-2024-1026, 2024.
We used downscaled climate projections to drive the snow cover model SNOWPACK and evaluated future dry- and wet-snow avalanche occurrences in the vicinity of seven automatic weather stations from the IMIS network using machine learning models trained with observed records of avalanche activity. Projections are available for three different emission scenarios (Representative Concentration Pathways, RCP2.6, RCP4.5 and RCP8.5) and eight climate model chains from the CH2018 ensemble. The output of the model chain is given by a daily probability for dry- or wet-snow avalanche occurrences. These probabilities can then be used to classify a day as a dry- and wet-snow avalanche day (AvD) or non-avalanche day.

climate-change

display_name: climate-change

climate-projections

display_name: climate-projections

dry-snow-avalanche

display_name: dry-snow-avalanche

snow-instability

display_name: snow-instability

snow-stratigraphy

display_name: snow-stratigraphy

wet-snow-avalanche

display_name: wet-snow-avalanche


maintainer: Stephanie Mayer

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

en: ReadMe

en: ReadMe file explaining data structure and content

en: Observed snow profiles

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

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

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

en: Simulated snow profiles

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

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

media_type: text/csv

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

format: CSV

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

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

failure-layer

display_name: failure-layer

rutschblock

display_name: rutschblock

snow-profiles

display_name: snow-profiles

snowpack

display_name: snowpack

snowpack-simulation

display_name: snowpack-simulation

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Observed and simulated snow profile data


en: land-change concur urban-landscape landscape-planning urban-planning

en:
Book of abstracts from the virtual conference "From Plans to Land Change: Dynamics of Urban Regions"

Cities and urban regions are among the most dynamic land-use systems in the world, with dramatic consequences for the provision of ecosystem services and the livelihood of people. Planning is a multifaceted activity with extensive experience in the management of these urbanization processes. However, our understanding of planning’s contribution to shaping urban land use, form and structure is still incomplete, with serious consequences for the efficacy of urban planning and land change models.

This international conference aims to bring together the community of scholars working on planning evaluation and urban modelling. The participants are offered the opportunity to present their current research and to discuss how theoretical developments, data sources, comparative studies and modelling approaches might advance the field.

The conference was financially supported by the CONCUR project and sustained by Swiss Federal Research Institute WSL.

concur

display_name: concur

land-change

display_name: land-change

landscape-planning

display_name: landscape-planning

urban-landscape

display_name: urban-landscape

urban-planning

display_name: urban-planning

en: From Plans to Land Change: Dynamics of Urban Regions. Book of Abstracts


tree-species-map-of-switzerland

maintainer: Tiziana Li Koch

title_for_slug: tree-species-map-of-switzerland

en: tree-species forest switzerland remote-sensing map

media_type: image/png

en: Image of the tree species map

format: PNG

en:
Dominant tree species map of Switzerland
We created a tree species map of Switzerland for the dominant tree species in the forested areas. The spatial resolution of the map is 10 m and the coordinate system is ETRS89-extended / LAEA Europe (EPSG 3035). The map comprises Sentinel-2 index time series from the year 2020, a digital elevation model and species reference data from the Swiss National Forest Inventory. The map is available as raster (.tif) or vector dataset (.gpkg).
**Access will be granted upon request.**
In total, the following 15 species were mapped:
*Abies alba*, *Acer pseudoplatanus*, *Alnus glutinosa*, *Alnus incana*, *Betula pendula*, *Castanea sativa*, *Fagus sylvatica*, *Fraxinus excelsior*, *Picea abies*, *Pinus cembra*, *Pinus mugo arborea*, *Pinus sylvestris*, *Quercus petraea*, *Quercus robur*, *Sorbus aucuparia*.

 Approach

 Data
- Swiss National Forest Inventory Data (stand species with > 60 % dominance in upper canopy; on at least more than 9 plots dominant)
- Sentinel-2 time series (2020, Indices: CCI, CIRE, NDMI, EVI, NDVI)
- Digital elevation model (DEM) (swissalti3d, 5 m)
- Biogeographical regions (Federal Office for the Environment FOEN)
- Forest mask 2017 (Approach: Waser et al., 2015)

 Modeling approach
We identified the most meaningful variables that led to separation of the respective groups by using random forest models with a forward feature selection (Meyer et al., 2018; Ververidis & Kotropoulos, 2005). In this approach, the final random forest model is solely built from the selected meaningful variables. By identifying meaningful variables, we can determine which variables might influence the grouping. Further, to avoid overfitting and overly optimistic results, we applied 10-fold spatial cross-validation and put all pixels from a plot in the same spatial fold.
The modeling was realized using the CAST package in R (Meyer et al., 2022), based on the well-known caret package (Kuhn, 2022). We used the ranger package in R (Wright & Ziegler, 2017) to implement the random forest models, due to its short computation time.

 Training data for modeling
- 295 Sentinel-2, DEM & Biogeographical variables
- 10525 tree species pixels

 Selected variables for final model
1. EVI of 2020.05.16
2. NDMI of 2020.03.12
3. CIRE of 2020.04.16
4. NDMI of 2020.07.05
5. CCI of 2020.05.11
6. dem
7. CCI of 2020.08.14
8. NDMI of 2020.08.24
9. CCI of 2020.12.22
10. NDMI of 2020.04.21
11. NDMI of 2020.11.17
12. NDMI of 2020.08.09
13. CIRE of 2020.03.22
14. CIRE of 2020.08.09
14. CCI of 2020.11.02
15. CIRE of 2020.06.10

 Overall Accuracy of final model
- 0.759

 Nationwide prediction
- Predicted throughout forest mask 2017 (Approach: Waser et al., 2015)
- Not applied on incomplete Sentinel-2 time series (own category in final map: incomplete_ts)
- Applied the Area of Applicability (Meyer 2022) to sort out pixels outside of the feature space; basically where the model had not the same values for pixels as in the available training data

 *Be aware that the map is only validated with the training data itself, an independent validation with other data sources remains missing*

 References
- Kuhn, M. (2022). Classification and Regression Training. 6.0-93.
- Meyer, H., Reudenbach, C., Hengl, T., Katurji, M., & Nauss, T. (2018). *Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation*. Environmental Modelling and Software, 101, 1-9. https://doi.org/10.1016/j.envsoft.2017.12.001
- Meyer, H., Milà, C., & Ludwig, M. (2022). *CAST: 'caret' Applications for Spatial-Temporal Models*. 0.7.0.
- Ververidis, D., & Kotropoulos, C. (2005). *Sequential forward feature selection with low computational cost*. 2005 13th European Signal Processing Conference.
- Waser, L., Fischer, C.,Wang, Z., & Ginzler, C. (2015). *Wall-to-Wall Forest Mapping Based on Digital Surface Models from Image-Based Point Clouds and a NFI Forest Definition*. Forests, 6, 12, 4510–4528.
- Wright, M. N., & Ziegler, A. (2017). *ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R*. Journal of Statistical Software, 77(1), 1-17. https://doi.org/doi:10.18637/jss.v077.i01

forest

display_name: forest

map

display_name: map

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland

tree-species

display_name: tree-species

en: Tree species map of Switzerland


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

en: Site aerial photo (Lausanne)

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

mimetype: image/jpeg

en: Site photo of the field station (LAF)

en: Site photo of the field station from the side.

en: Forest station data (LAB)

en: Data file.

mimetype: text/csv

en: Data plot of the field station (LAF)

media_type: application/pdf

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

format: PDF

mimetype: application/pdf

en: Site photo of the forest station (LAB)

en: Site photo of the fforest station from the side.

en: Data plot of the forest station (LAB)

en: Field station data (LAF)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Lausanne in Switzerland where one station is located within a natural mixed forest stand (LAB) with European beech (_Fagus sylvatica_; 160-170 yrs), European silver fir (_Abies alba_; 160-170 yrs) and Norway spruce (_Picea abies_; 160-170 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, LAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lausanne is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Lausanne, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


maintainer: Amelie Fees

en: glide-snow-avalanche avalanche time-lapse-photography snowpack-simulation avalanche-activity

en: SNOWPACK simulations

en: SNOWPACK simulations (.pro and .smet) covering season 2008/09 to 2021/22 at 10 virtual locations on Dorfberg. The locations correspond to the most common glide-snow avalanche paths.

en: README

en: README.txt explaining the dataset and columns of tables in more detail.

en: Glide-snow avalanche activity

en: Table that contains all glide-snow avalanche events that were detected in time-lapse photographs (season 2008/09 to 2021/22). The columns are explained in the README.txt

en: Glide distances for opening glide-cracks

en: This folder contains all glide-cracks where glide-distances were extracted from time-lapse photographs. Glide-distances were calculated in x-direction (width) and y-direction (downslope, length) by georeferencing the images.

en:
This dataset includes the processed data of the glide-snow avalanche activity and dynamics on Dorfberg (Davos, Switzerland) covering seasons 2008/09 to 2021/22. This dataset was described in the research article:

Fees, A., van Herwijnen A., Altenbach, M., Lombardo, M., Schweizer, J.: Glide-snow avalanche characteristics at different time-scales extracted from time-lapse photography, Annals of Glaciology, 91

We extracted the dynamics of opening glide-cracks and the glide-snow avalanche activity from time-lapse photographs. Glide-snow avalanches were separated into surface and interface events using the liquid water content which was simulated with SNOWPACK at 10 virtual stations on Dorfberg.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

glide-snow-avalanche

display_name: glide-snow-avalanche

snowpack-simulation

display_name: snowpack-simulation

time-lapse-photography

display_name: time-lapse-photography

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Glide-snow avalanche activity on Dorfberg, Davos, Switzerland


forest-canopy-layer

title_for_slug: forest-canopy-layer

en: nfi forest-management mountain-forest lidar forest-canopy forest-structure

en: QGIS QML file with stored layer style definitions for the ForestCanopyLayer.tif.

format: OCTET

media_type: image/tiff

en: Forest Canopy Layer (class 1: single-layered; class 2: probably single-layered; class 3: probably multi-layered; class 4: multi-layered).

format: TIFF

en: Validation data from the Independent Forester Assessment (IFA). x- /y-coordinate (CH1903+ LV03) and layer (1: single-layered; 2: multi-layered; -999: NA).

en: This dataset provides a LiDAR-based classification of the forest canopy layer for selected Swiss cantons. Combining an area-based and tree-centred approach, forest areas are categorised into four canopy layering classes that differentiate between single-layered and multi-layered canopies.

forest-canopy

display_name: forest-canopy

forest-management

display_name: forest-management

forest-structure

display_name: forest-structure

lidar

display_name: lidar

mountain-forest

display_name: mountain-forest

nfi

display_name: nfi

en: Forest Canopy Layer


maintainer: Tobias Wechsler

en: datensatz schweiz speed2zero kleinstwasserkraftwerke wasserkraft

en: .XLSX-Datei der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en: .XLSX-Datei von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en: Shapefile der Einzugsgebiete (2 km² ), in denen sich die jeweiligen Kleinstwasserkraftwerke befinden (erstellt von Yasser Haddad. ETH).

en: Die 1'682 erfassten Kleinstwasserkraftwerke im Datensatz CH-Kleinstwasserkraftwerke

en: Shapefile der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en: Shapefile von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en:
In der Schweiz werden Wasserkraftanlagen (WKA) mit einer Leistung von mehr als 300 kW systematisch erfasst und in der nationalen Wasserkraftstatistik (WASTA) zusammengetragen. Die WASTA bildet eine umfangreiche Datengrundlage für Analysen bezüglich Wasserkraft, auch im Kontext von Klimawandel, Biodiversitätsverlust und Energiewende. Nicht erfasst auf nationaler Ebene waren bis anhin die sogenannten Kleinstwasserkraftwerke, WKA mit einer Leistung von weniger als 300 kW. Kleinstwasserkraftwerke tragen zwar nicht wesentlich zur Schweizer Elektrizitätsversorgung bei, haben jedoch aufgrund ihrer hohen Anzahl Auswirkungen auf die Gewässerökologie, die mit den Klimawandel noch stärker unter Druck gerät.
Der neu erstellte Datensatz CH-Kleinstwasserkraftwerke umfasst 1'682 WKA mit einer Leistung von weniger als 300 kW. In den zwei Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW) sind zurzeit 2’388 WKA erfasst. Im Austausch mit den 26 Kantonen wurde jedoch klar, dass es sich nicht um eine vollständige Sammlung von Kleinstwasserkraftwerken handelt. Die 1'682 Kleinstwasserkraftwerke machen rund 70% aller erfassten WKA in der Schweiz aus, tragen jedoch mit weniger als 600 GWh/Jahr lediglich rund 1.5% zur schweizerischen Wasserkraftproduktion bei. In einem optimistischen Szenario, in dem die jährliche Produktionserwartung tendenziell überschätzt wird, liegt dieser Anteil um 0.3% höher. Von den erfassten 2’388 WKA erzeugen die 10% der grössten Anlagen über 90% der schweizerischen Wasserkraftproduktion. Der Datensatz CH-Kleinstwasserkraftwerke ist im Rahmen der ETH-Initiative SPEED2ZERO entstanden, die Klimadienstleistungen in den Bereichen Klimawandel, Biodiversitätsverlust und Energiewende erbringt (https://speed2zero.ethz.ch).
Hier verfügbare Datensätze:
- CH-Kleinstwasserkraftwerke - der hier vorgestellte Datensatz mit 1'682 Kleinstwasserkraftwerken
- EZG-Kleinstwasserkraftwerke - die Einzugsgebiete (2 km² ), in denen sich die 1'682 Kleinstwasserkraftwerke befinden (erstellt von Yasser Haddad. ETH)
- Metadaten - sämtliche Metadaten zum Datensatz CH-Kleinstwasserkraftwerke
- CH-WKA - eine Zusammenstellung sämtlicher 2'388 erfassten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW)

datensatz

display_name: datensatz

kleinstwasserkraftwerke

display_name: kleinstwasserkraftwerke

schweiz

display_name: schweiz

wasserkraft

display_name: wasserkraft

en: CH-Kleinstwasserkraftwerke - ein schweizweiter Datensatz zu Kleinstwasserkraftwerken


en: molecular-markers reproductive-matieral genetic-structure pinus-cembra afforestation

en: metadata and description of dataset

en: The dataset contains individual genotypes at 11 nuclear microsatellite markers of samples of Swiss stone pine (*Pinus cembra*). Samples were collected in 12 natural and presumably planted stands in the canton of Fribourg (Switzerland). The dataset is complemented by individual genotypes (same markers) from samples of a subset of 40 populations across the European Alps (taken from Gugerli et al., Journal of Biogeography 2023; https://doi.org/10.1111/jbi.14586; dataset archived at Dryad, https://doi.org/10.5061/dryad.866t1g1v6).

afforestation

display_name: afforestation

genetic-structure

display_name: genetic-structure

molecular-markers

display_name: molecular-markers

pinus-cembra

display_name: pinus-cembra

reproductive-matieral

display_name: reproductive-matieral

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Nuclear microsatellite genotypes of Pinus cembra


en: anemometer raclets wind-direction wind-velocity wind wind-speed

en: Sonic temperature

en: The data set contains values of temperature (°C) measured with the anemometer at a sampling frequency of 20 Hz.

en: Sonic time

en: The data set contains the time in YYYY-mm-dd HH:MM:SS.sss for the anemometer data. The time is given in UTC+1.

en: Sonic wind component v

en:
The data contains values for v direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic wind component u

en:
The data contains values for u direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic wind component w

en:
The data contains values for w direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: A Young 81000 sonic anemomenter was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849) to record three components of the wind velocity (u, v, w in [m s‾ ¹]) and air temperature (Ts in [°C]). The anemomenter was mounted in direction North at a height of 1.5 m above snow surface at the beginning. The time within each data set is given in UTC+1. Instrument specifications can be found [here](http://www.youngusa.com/Manuals/81000-90(I).pdf) .

anemometer

display_name: anemometer

raclets

display_name: raclets

wind

display_name: wind

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

wind-velocity

display_name: wind-velocity

en: Snow Drift Station - 3D Ultrasonic


en: soil-moisture snow-profile avalanche-activity avalanche glide-snow-avalanche

en: This file provides an overview of the dataset, the detailed measurement setup, and points out limitations.

en: This file contains the daily avalanche activity on Dorfberg as extracted from time-lapse photographs.

en: This file contains SNOWPACK simulations (snow height, air temperature, rain) at a virtual station in the reference location. The virtual station was interpolated between the Weissfluhjoch (WFJ2) and Klosters Madrisa (KLO2) IMIS Stations.

en: This file contains the aggregated data from manually recorded snow profiles in the reference location, 100m northwest of the Seewer Berg slope and in release areas of glide-snow avalanches in the Seewer Berg slope.

en: This file contains the coordinates of the reference location and the sensors in the Seewer Berg slope as a shapefile.

en: This file contains the release areas (polygon) of glide-snow avalanches as a shapefile.

en: This file contains all sensor recordings in the Seewer Berg slope (time interval: 15 minutes).

en: This file explains all provided datasets, variables and their units.

en: This file contains all soil measruements (liquid water content and matric potential) recorded at the reference location.

en:
This dataset consists of spatio-temporal soil measurements and local snow measurements which were recorded to investigate glide-snow avalanche release in the Seewer Berg slope (Davos, Switzerland) from Nov 2021 to June 2024. Investigations based on this dataset were published in the research article:
Fees A., Lombardo M., van Herwijnen A., Lehmann P., Schweizer J. (2025). The source, quantity, and spatial distribution of interfacial water during glide-snow avalanche release: experimental evidence from field monitoring. The Cryosphere
The dataset consists of:
- Soil measurements (temperature and liquid water content) at soil depths of -5cm, -10cm, and -20cm
- Matric potential at depths of -5cm, -10cm, and -20cm
- Manual snow profiles (Snow height, temperature, liquid water content, bulk density)
- Metadata and manual snow profiles on glide-snow avalanches that released in the Seewer Berg slope
- Snow height, air temperature and rain simulated with SNOWPACK.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

glide-snow-avalanche

display_name: glide-snow-avalanche

snow-profile

display_name: snow-profile

soil-moisture

display_name: soil-moisture

educ

en: Education, culture and sport

en: Spatio-temporal soil and local snow monitoring in a glide-snow avalanche prone slope above Davos Switzerland


maintainer: Matthias Haeni

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

en: Data plot of the forest station (NAB)

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

en: Site photo of the field station (NAF)

en: Site photo of the field station form the side.

en: Data plot of the field station (NAF)

en: Site photo of the forest station (NAB)

en: Site photo of the forest station from the side.

en: Forest station data (NAB)

en: Data file.

en: Site aerial photo (Nationalpark)

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

en: Field station data (NAF)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Nationalpark in Switzerland where one station is located within a natural coniferous forest stand (NAB) with mountain pine (_Pinus mugo_; 210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Nationalpark is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

envidat

en: EnviDat: the Environmental Data Portal

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

en: Nationalpark, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: intraspecific-variation cross-resistance defense-chemistry ash-dieback fraxinus invasive-species emerald-ash-borer

en: Raw data-Publication cross-resistance in ash-New Phytologist

en:
What are the research data files about: Raw data on perfomance (dry weight, development and mortality) of emerald ash borer larvae used in published bioassays. Raw data on ash dieback leasion lenghts. Raw data on untargeted and targeted specialized ash metabolites.
Which methods were used: Bioassays in greenhouses and climate chambers to collect data on emerald ash borer and ash dieback perfomance. Phytochemical analyses on ash phloem for quantifiying specialized metabolites
When and where was the data created / extracted: Summer 2020-2021

en:
 What are the research data files about: Raw data on perfomance (dry weight, development and mortality) of emerald ash borer larvae used in published bioassays. Raw data on ash dieback leasion lenghts. Raw data on untargeted and targeted specialized ash metabolites.

Which methods were used: Bioassays in greenhouses and climate chambers to collect data on emerald ash borer and ash dieback perfomance. Phytochemical analyses on ash phloem for quantifiying specialized metabolites.

When and where was the data created / extracted: Summer 2020-2021

ash-dieback

display_name: ash-dieback

cross-resistance

display_name: cross-resistance

defense-chemistry

display_name: defense-chemistry

emerald-ash-borer

display_name: emerald-ash-borer

fraxinus

display_name: fraxinus

intraspecific-variation

display_name: intraspecific-variation

invasive-species

display_name: invasive-species

educ

en: Education, culture and sport

en: Raw data-Publication cross-resistance in ash - New Phytologist


en: COST European Snow Booklet (ESB) - DORA Link

media_type: text/html

en: DORA Link of the COST European Snow Booklet (ESB).

en: COST European Snow Booklet (ESB)

en: Please find here the web version of the COST European Snow Booklet (ESB).

en: List of authors and list of the editorial board of the European Snow Booklet

en:
Here you can find the list of all lead authors of the different chapters of the European Snow Booklet (ESB).
In addition a list of the editorial board that reviewed the ESB is given.

en: European Snow Booklet public metadata

en:
The core of the European Snow Booklet (ESB), the country reports of 38 European countries, are based on information and metadata on snow measurements collected through a comprehensive survey, the ESB Questionnaire, between August 2017 and March 2018. The station metadata (for example location, elevation, measurement start date) from each country was provided by one or several institutions responsible for snow observations. By answering the questionnaire the contacts agreed that the information and metadata provided could be presented in the ESB. For cases where institutions indicated that information on station locations could be made publicly available, the metadata for the variables snow depth (HS), depth of snowfall (HN) and water equivalent of the snow cover (SWE), is additionally provided here for download (METADATA.xlsx).
Please note that not all institutions gave permission to publish their station metadata. This metadata has to be requested from the non-personal institution contacts provided in the METADATA.xlsx file. In some cases, however, no institutional contact is available and thus the contact of the country representative who filled in the questionnaire is used.
For current, updated station metadata we refer to the (non-personal) institutional contacts provided in METADATA.xlsx and/or the institution webpages. Note, however, that we cannot guarantee for completeness of the dataset for all countries because operational networks are prone to changes.

en:
The European Snow Booklet (ESB) is a book of reference for snow measurements that has been produced through collaboration with many European snow practitioners and snow scientists in the framework of the European Cooperation in Science and Technology (COST) Action ES1404 “A European network for a harmonised monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather prediction (HarmoSnow)”. The ESB provides a unique collection of information about operational snow observations in the European countries and the methods used to perform basic measurements of snow on the ground: snow depth (HS), depth of snowfall (HN), water equivalent of the snow cover (SWE) and presence of snow on the ground (PSG). Information and station metadata (for example location, elevation) for these basic snow variables were collected through a comprehensive survey, the ESB questionnaire between August 2017 and March 2018. Numerous institutions of 38 European countries provided detailed information describing the status of the operational snow observations and the methods used at the time of the survey. Based on the information provided, a country report was written for each European country. Similarities and differences among the countries, that is, the choice of snow variables to be measured, the measurement principles applied, the number of stations, or the spatial and elevational station distribution are pointed out. Thus the collection of country reports demonstrates the relevance of snow measurements for each country. Thus, the intention of the ESB is to foster better knowledge transfer regarding snow measurements between the snow science and operational communities and to improve the communication of information to the general public.

For detailed information on the European countries, we refer to the ESB, which can be downloaded here (envidat.ch). Please note that the ESB is not a living document and information and station metadata are from August 2017 till March 2018, except for Latvia (metadata updated in December 2018).

depth-of-snowfall

display_name: depth-of-snowfall

harmonisation-of-snow-measurements

display_name: harmonisation-of-snow-measurements

snow-depth

display_name: snow-depth

snow-measurement-methods

display_name: snow-measurement-methods

water-equivalent-of-the-snow-cover

display_name: water-equivalent-of-the-snow-cover

en: European Snow Booklet – an Inventory of Snow Measurements in Europe


radiosondes

maintainer: Jörg Wieder

title_for_slug: radiosondes

en: temperature wind-direction pressure raclets relative-humidity wind holoballoon radiosonde

en: Radiosond Sounding Files

en:
The "soundings" radiosond data contains information on ambient pressure (mbar), temperature (C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), and are ordered with respect to the height above ground (m AGL) with a step size of 20 m. The first line of each file idicates the geographic location and the start time (in UTC) of the ascent. If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosond Template Files

en:
The "template" files contain standard parameters, i.e. ambient pressure (mbar and Pa), temperature (°C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), as well as additional information, e.g. time (UTC and local time), dew point (°C), mixing ration (g/kg), density (kg m³), altitude (m MSL), height above ground (ft and m AGL), and geographic coordinates (longitude, latitude). If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosondes (Windsond, Sparv Embedded AB) were started in Davos Wolfgang (LON: 9.853594, LAT: 46.835577) to report height profiles of pressure, relative humidity and temperature at specific days. In addition to regular launches of radiosondes, sondes were attached to [HoloBalloon](https://www.envidat.ch/group/clouds-in-situ-raclets) to report the ambient conditions of the in-situ measurements. Further profiles of meteorological measures were recorded at [HoloGondel](https://www.envidat.ch/group/clouds-in-situ-raclets) which was installed at the gondola moving between Gotschnaboden and Gotschnagrat at 2285 m a.s.l.

holoballoon

display_name: holoballoon

pressure

display_name: pressure

raclets

display_name: raclets

radiosonde

display_name: radiosonde

wind

display_name: wind

wind-direction

display_name: wind-direction

envidat

en: EnviDat: the Environmental Data Portal

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

en: Radiosondes