Kinematic observations of the mountain cryosphere using in-situ GNSS instruments 2010-2021

Fuente: PANGAEA
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Dettagli Bibliografici
Autori principali: Beutel, Jan, Biri, Andreas, Buchli, Ben, Cicoira, Alessandro, Delaloye, Reynald, Da Forno, Reto, Gaertner-Roer, Isabelle, Gruber, Stephan, Gsell, Tonio, Hasler, Andreas, Lim, Roman, Limpach, Philippe, Mayoraz, Raphael, Meyer, Matthias, Noetzli, Jeannette, Phillips, Marcia, Pointner, Eric, Raetzo, Hugo, Scapozza, Cristian, Strozzi, Tazio, Thiele, Lothar, Vieli, Andreas, Vonder Muehll, Daniel, Weber, Samuel, Wirz, Vanessa
Natura: Dataset Open Access
Lingua:en
Pubblicazione: PANGAEA 2022
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author Beutel, Jan
Biri, Andreas
Buchli, Ben
Cicoira, Alessandro
Delaloye, Reynald
Da Forno, Reto
Gaertner-Roer, Isabelle
Gruber, Stephan
Gsell, Tonio
Hasler, Andreas
Lim, Roman
Limpach, Philippe
Mayoraz, Raphael
Meyer, Matthias
Noetzli, Jeannette
Phillips, Marcia
Pointner, Eric
Raetzo, Hugo
Scapozza, Cristian
Strozzi, Tazio
Thiele, Lothar
Vieli, Andreas
Vonder Muehll, Daniel
Weber, Samuel
Wirz, Vanessa
author_facet Beutel, Jan
Biri, Andreas
Buchli, Ben
Cicoira, Alessandro
Delaloye, Reynald
Da Forno, Reto
Gaertner-Roer, Isabelle
Gruber, Stephan
Gsell, Tonio
Hasler, Andreas
Lim, Roman
Limpach, Philippe
Mayoraz, Raphael
Meyer, Matthias
Noetzli, Jeannette
Phillips, Marcia
Pointner, Eric
Raetzo, Hugo
Scapozza, Cristian
Strozzi, Tazio
Thiele, Lothar
Vieli, Andreas
Vonder Muehll, Daniel
Weber, Samuel
Wirz, Vanessa
collection Datos científicos de ciencias marinas y ambientales
contents This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 meter a.s.l and comprises 229'669 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates. All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://git.uibk.ac.at/informatik/neslab/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_948334
institution PANGAEA
language en
publishDate 2022
publisher PANGAEA
record_format pangaea
spellingShingle Kinematic observations of the mountain cryosphere using in-situ GNSS instruments 2010-2021
Beutel, Jan
Biri, Andreas
Buchli, Ben
Cicoira, Alessandro
Delaloye, Reynald
Da Forno, Reto
Gaertner-Roer, Isabelle
Gruber, Stephan
Gsell, Tonio
Hasler, Andreas
Lim, Roman
Limpach, Philippe
Mayoraz, Raphael
Meyer, Matthias
Noetzli, Jeannette
Phillips, Marcia
Pointner, Eric
Raetzo, Hugo
Scapozza, Cristian
Strozzi, Tazio
Thiele, Lothar
Vieli, Andreas
Vonder Muehll, Daniel
Weber, Samuel
Wirz, Vanessa
Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 meter a.s.l and comprises 229'669 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates. All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://git.uibk.ac.at/informatik/neslab/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch.
title Kinematic observations of the mountain cryosphere using in-situ GNSS instruments 2010-2021
topic Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
url https://doi.org/10.1594/PANGAEA.948334