Articles | Volume 16, issue 2
https://doi.org/10.5194/tc-16-625-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-625-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2022
Research article |
| 18 Feb 2022
| 18 Feb 2022
Sentinel-1 time series for mapping snow cover depletion and timing of snowmelt in Arctic periglacial environments: case study from Zackenberg and Kobbefjord, Greenland
Sebastian Buchelt
CORRESPONDING AUTHOR
Department Physical Geography, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany
Kirstine Skov
Department of Bioscience, Arctic Research Center, Aarhus University, 4000 Roskilde, Denmark
Kerstin Krøier Rasmussen
Asiaq, Nuuk, Greenland
Tobias Ullmann
Department Physical Geography, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany
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Cited
15 citations as recorded by crossref.
- Himalayan alpine ecohydrology: An urgent scientific concern in a changing climate R. Leng et al. 10.1007/s13280-022-01792-2
- Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models B. Cluzet et al. 10.5194/tc-18-5753-2024
- Multi-Sensor Analysis of Snow Seasonality and a Preliminary Assessment of SAR Backscatter Sensitivity to Arctic Vegetation: Limits and Capabilities L. Stendardi et al. 10.3390/rs14081866
- Monitoring of thermal conditions and snow dynamics at periglacial block accumulations in a low mountain range in central Germany T. Wiegand & C. Kneisel 10.1002/esp.5998
- Characterizing Snow Dynamics in Semi-Arid Mountain Regions with Multitemporal Sentinel-1 Imagery: A Case Study in the Sierra Nevada, Spain P. Torralbo et al. 10.3390/rs15225365
- Constraining Mountain Streamflow Constituents by Integrating Citizen Scientist Acquired Geochemical Samples and Sentinel‐1 SAR Wet Snow Time‐Series for the Shimshal Catchment in the Karakoram Mountains of Pakistan J. Lund et al. 10.1029/2022WR032171
- Applying Machine Learning and Time-Series Analysis on Sentinel-1A SAR/InSAR for Characterizing Arctic Tundra Hydro-Ecological Conditions M. Merchant et al. 10.3390/rs14051123
- Deciphering Small-Scale Seasonal Surface Dynamics of Rock Glaciers in the Central European Alps Using DInSAR Time Series S. Buchelt et al. 10.3390/rs15122982
- Identification of Seasonal Snow Phase Changes from C-band SAR Time Series with Dynamic Thresholds G. Beltramone et al. 10.1109/JSTARS.2023.3281149
- Seasonal snow cover indicators in coastal Greenland from in situ observations, a climate model, and reanalysis J. van der Schot et al. 10.5194/tc-18-5803-2024
- Ground-Based Oblique-View Photogrammetry and Sentinel-1 Spaceborne RADAR Reflectivity Snow Melt Processes Assessment on an Arctic Glacier J. Friedt et al. 10.3390/rs15071858
- Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images Y. Antropova et al. 10.1016/j.rse.2022.113305
- Capturing Snowmelt Runoff Onset Date under Different Land Cover Types Using Synthetic Aperture Radar: Case Study of Sierra Nevada Mountains, USA B. Gao & W. Ma 10.3390/app14156844
- Sensitivity of Sentinel-1 C-band SAR backscatter, polarimetry and interferometry to snow accumulation in the Alps J. Jans et al. 10.1016/j.rse.2024.114477
- Synthetic Aperture Radar Monitoring of Snow in a Reindeer-Grazing Landscape I. Carlsson et al. 10.3390/rs16132329
15 citations as recorded by crossref.
- Himalayan alpine ecohydrology: An urgent scientific concern in a changing climate R. Leng et al. 10.1007/s13280-022-01792-2
- Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models B. Cluzet et al. 10.5194/tc-18-5753-2024
- Multi-Sensor Analysis of Snow Seasonality and a Preliminary Assessment of SAR Backscatter Sensitivity to Arctic Vegetation: Limits and Capabilities L. Stendardi et al. 10.3390/rs14081866
- Monitoring of thermal conditions and snow dynamics at periglacial block accumulations in a low mountain range in central Germany T. Wiegand & C. Kneisel 10.1002/esp.5998
- Characterizing Snow Dynamics in Semi-Arid Mountain Regions with Multitemporal Sentinel-1 Imagery: A Case Study in the Sierra Nevada, Spain P. Torralbo et al. 10.3390/rs15225365
- Constraining Mountain Streamflow Constituents by Integrating Citizen Scientist Acquired Geochemical Samples and Sentinel‐1 SAR Wet Snow Time‐Series for the Shimshal Catchment in the Karakoram Mountains of Pakistan J. Lund et al. 10.1029/2022WR032171
- Applying Machine Learning and Time-Series Analysis on Sentinel-1A SAR/InSAR for Characterizing Arctic Tundra Hydro-Ecological Conditions M. Merchant et al. 10.3390/rs14051123
- Deciphering Small-Scale Seasonal Surface Dynamics of Rock Glaciers in the Central European Alps Using DInSAR Time Series S. Buchelt et al. 10.3390/rs15122982
- Identification of Seasonal Snow Phase Changes from C-band SAR Time Series with Dynamic Thresholds G. Beltramone et al. 10.1109/JSTARS.2023.3281149
- Seasonal snow cover indicators in coastal Greenland from in situ observations, a climate model, and reanalysis J. van der Schot et al. 10.5194/tc-18-5803-2024
- Ground-Based Oblique-View Photogrammetry and Sentinel-1 Spaceborne RADAR Reflectivity Snow Melt Processes Assessment on an Arctic Glacier J. Friedt et al. 10.3390/rs15071858
- Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images Y. Antropova et al. 10.1016/j.rse.2022.113305
- Capturing Snowmelt Runoff Onset Date under Different Land Cover Types Using Synthetic Aperture Radar: Case Study of Sierra Nevada Mountains, USA B. Gao & W. Ma 10.3390/app14156844
- Sensitivity of Sentinel-1 C-band SAR backscatter, polarimetry and interferometry to snow accumulation in the Alps J. Jans et al. 10.1016/j.rse.2024.114477
- Synthetic Aperture Radar Monitoring of Snow in a Reindeer-Grazing Landscape I. Carlsson et al. 10.3390/rs16132329
Latest update: 06 Feb 2025
Short summary
In this paper, we present a threshold and a derivative approach using Sentinel-1 synthetic aperture radar time series to capture the small-scale heterogeneity of snow cover (SC) and snowmelt. Thereby, we can identify start of runoff and end of SC as well as perennial snow and SC extent during melt with high spatiotemporal resolution. Hence, our approach could support monitoring of distribution patterns and hydrological cascading effects of SC from the catchment scale to pan-Arctic observations.
In this paper, we present a threshold and a derivative approach using Sentinel-1 synthetic...
