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  • 1
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    Ice Surface Velocity in the Eastern Arctic from Past Spaceborne Satellite SAR data (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Nearly complete mosaics of winter ice surface velocities for the 1990's over the Eastern Arctic (Novaya Zemlya, Franz-Josef-Land, Severnaya Zemlya and Svalbard) were compiled based on historical SAR data. Offset-tracking to JERS-1 SAR data of the time period 1992-1998 was mainly applied. Data gaps were complemented using SAR interferometry and offset-tracking of ERS-1/2 SAR data of the time period 1991-1997. Knowledge on ice surface velocity of glaciers and ice caps contributes to a better understanding of a wide range of processes related to glacier dynamics, mass change and response to climate. In order to study long-term variability of winter ice surface velocity from the 1990's to present, velocity maps computed with offset-tracking from 2008-2011 ALOS-1 PALSAR-1 and 2020-2021 Sentinel-1 data are also provided.
    Keywords: Arctic; Binary Object; Binary Object (File Size); Comment; Eastern_Arctic_SAR; ice velocity; Location; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); SAR
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Kinematic observations of the mountain cryosphere using in-situ GNSS instruments 2011-2020 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: 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 209'948 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.
    Keywords: Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Kinematic observations of the mountain cryosphere using in-situ GNSS instruments 2010-2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: 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.
    Keywords: Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
    Type: Dataset
    Format: text/tab-separated-values, 22 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Mapping the frost susceptibility of the ground from thaw-season InSAR surface displacements and extrapolated active layer thicknesses, Ilulissat, West-Greenland (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Interferometric Synthetic Aperture Radar (InSAR) images (L1 Single Look Complex data from ESA/Copernicus Sentinel-1) were acquired between May and September during the thawing seasons from 2015 to 2019, over the area of Ilulissat, West Greenland. Rasters of thaw-season ground surface displacements were obtained from the interferometric processing of the SAR scenes. The 2015-2019 average seasonal displacement (S) and long-term deformation rate (R) were derived by least-squares inversion from the surface displacement rasters. In addition, active layer thicknesses (ALT) probed in Ilulissat at the end of the summers of 2020 and 2021 were extrapolated using a vegetation map derived from a Random Forest classification of multi-temporal Sentinel-2 optical images. The average seasonal displacement and extrapolated ALT were finally used to estimate the amount of ice present in the active layer, indicating the frost susceptibility of the ground. This dataset first contains the yearly thaw-season surface displacement rasters in the radar line-of-sight (LOS) direction, and the derived average seasonal and long-term deformation rasters. Secondly, the ALT measurements and floristic data used as inputs and validation in the study are provided along with the land cover classification, extrapolated ALT and frost susceptibility index rasters.
    Keywords: Active Layer Thickness; Arctic infrastructure; Data type; DATE/TIME; Documentation file; File content; Ice content; Ilulissat_Mapping; Ilulissat, Greenland; InSAR; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; Permafrost; Raster graphic, GeoTIFF format; Text file
    Type: Dataset
    Format: text/tab-separated-values, 43 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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