Articles | Volume 14, issue 3
https://doi.org/10.5194/tc-14-935-2020
© Author(s) 2020. 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-14-935-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Use of Sentinel-1 radar observations to evaluate snowmelt dynamics in alpine regions
Institute for Earth Observation, Eurac Research, Viale Druso, 1 39100 Bolzano, Italy
Giacomo Bertoldi
Institute for Alpine Environment, Eurac Research, Viale Druso, 1 39100 Bolzano, Italy
Valentina Premier
Institute for Earth Observation, Eurac Research, Viale Druso, 1 39100 Bolzano, Italy
Mattia Callegari
Institute for Earth Observation, Eurac Research, Viale Druso, 1 39100 Bolzano, Italy
Christian Brida
Institute for Alpine Environment, Eurac Research, Viale Druso, 1 39100 Bolzano, Italy
Kerstin Hürkamp
Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Radiation Medicine, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
Jochen Tschiersch
Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Radiation Medicine, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
Marc Zebisch
Institute for Earth Observation, Eurac Research, Viale Druso, 1 39100 Bolzano, Italy
Claudia Notarnicola
Institute for Earth Observation, Eurac Research, Viale Druso, 1 39100 Bolzano, Italy
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- Proof-of-Concept for a Ground-Based Dual-Receiver Radar Architecture to Estimate Snowpack Parameters for Wet Snow P. Espin-Lopez et al. 10.1109/TGRS.2021.3103834
- Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
- Monitoring Wet Snow Over an Alpine Region Using Sentinel-1 Observations F. Karbou et al. 10.3390/rs13030381
- Identifying snowfall elevation patterns by assimilating satellite-based snow depth retrievals M. Girotto et al. 10.1016/j.scitotenv.2023.167312
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37 citations as recorded by crossref.
- Prediction of Snowmelt Days Using Binary Logistic Regression in the Umbria-Marche Apennines (Central Italy) M. Gentilucci & G. Pambianchi 10.3390/w14091495
- Synthetic Aperture Radar Monitoring of Snow in a Reindeer-Grazing Landscape I. Carlsson et al. 10.3390/rs16132329
- Retrieval of snow layer and melt pond properties on Arctic sea ice from airborne imaging spectrometer observations S. Rosenburg et al. 10.5194/amt-16-3915-2023
- Interpreting Sentinel-1 SAR Backscatter Signals of Snowpack Surface Melt/Freeze, Warming, and Ripening, through Field Measurements and Physically-Based SnowModel J. Lund et al. 10.3390/rs14164002
- Sentinel-1 based soil freeze/thaw estimation in boreal forest environments J. Cohen et al. 10.1016/j.rse.2020.112267
- 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
- Monitoring Large-Scale Inland Water Dynamics by Fusing Sentinel-1 SAR and Sentinel-3 Altimetry Data and by Analyzing Causal Effects of Snowmelt Y. Tsai et al. 10.3390/rs12233896
- 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
- SnowWarp: An open science and open data tool for daily monitoring of snow dynamics G. Laurin et al. 10.1016/j.envsoft.2022.105477
- 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
- Tower-based C-band radar measurements of an alpine snowpack I. Brangers et al. 10.5194/tc-18-3177-2024
- Spatio‐temporal wet snow dynamics from model simulations and remote sensing: A case study from the Rofental, Austria E. Rottler et al. 10.1002/hyp.15279
- Glacier melt detection at different sites of Greenland ice sheet using dual-polarized Sentinel-1 images G. Li et al. 10.1080/10095020.2023.2252034
- Wet Snow Detection From Satellite SAR Images by Machine Learning With Physical Snowpack Model Labeling M. Gallet et al. 10.1109/JSTARS.2023.3342990
- Detection of Wet Snow by Weakly Supervised Deep Learning Change Detection Algorithm with Sentinel-1 Data H. Gong et al. 10.3390/rs16193575
- GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep elevation gradient A. Capelli et al. 10.5194/tc-16-505-2022
- 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
- Snowmelt characterization from optical and synthetic-aperture radar observations in the La Joie Basin, British Columbia S. Darychuk et al. 10.5194/tc-17-1457-2023
- Snow Water Equivalent Monitoring—A Review of Large-Scale Remote Sensing Applications S. Schilling et al. 10.3390/rs16061085
- Snowmelt Dynamics in a Temperate Glacier Using Sentinel-1 SAR Images: A Case Study on Saint-Sorlin Glacier, French Alps C. Turbé et al. 10.1109/JSTARS.2024.3384030
- Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps H. Lievens et al. 10.5194/tc-16-159-2022
- Dynamical System Approach for Wet Snow Retrieval in Mountains Using Sentinel-1 SAR Images G. James et al. 10.1109/TGRS.2024.3431191
- Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments V. Premier et al. 10.5194/tc-17-2387-2023
- A Multi-Sensor Approach to Characterize Winter Water-Level Drawdown Patterns in Lakes A. Kumar et al. 10.3390/rs16060947
- Insights into Segmentation Methods Applied to Remote Sensing SAR Images for Wet Snow Detection A. Guiot et al. 10.3390/geosciences13070193
- Capturing the Onset of Mountain Snowmelt Runoff Using Satellite Synthetic Aperture Radar E. Gagliano et al. 10.1029/2023GL105303
- On the Evaluation of the SAR-Based Copernicus Snow Products in the French Alps F. Karbou et al. 10.3390/geosciences12110420
- Snow Moving to Higher Elevations: Analyzing Three Decades of Snowline Dynamics in the Alps Z. Hu et al. 10.1029/2019GL085742
- Improved records of glacier flow instabilities using customized NASA autoRIFT (CautoRIFT) applied to PlanetScope imagery J. Liu et al. 10.5194/tc-18-3571-2024
- Capability assessment of Sentinel-1 data for estimation of snow hydrological potential in the Khanabad watershed in the Hindu Kush Himalayas of Afghanistan A. Mahmoodzada et al. 10.1016/j.rsase.2022.100758
- 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
- Sentinel-1 time series for mapping snow cover depletion and timing of snowmelt in Arctic periglacial environments: case study from Zackenberg and Kobbefjord, Greenland S. Buchelt et al. 10.5194/tc-16-625-2022
- Proof-of-Concept for a Ground-Based Dual-Receiver Radar Architecture to Estimate Snowpack Parameters for Wet Snow P. Espin-Lopez et al. 10.1109/TGRS.2021.3103834
- Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
- Monitoring Wet Snow Over an Alpine Region Using Sentinel-1 Observations F. Karbou et al. 10.3390/rs13030381
- Identifying snowfall elevation patterns by assimilating satellite-based snow depth retrievals M. Girotto et al. 10.1016/j.scitotenv.2023.167312
- Identification of Seasonal Snow Phase Changes from C-band SAR Time Series with Dynamic Thresholds G. Beltramone et al. 10.1109/JSTARS.2023.3281149
Latest update: 07 Nov 2024
Short summary
In this paper, we use for the first time the synthetic aperture radar (SAR) time series acquired by Sentinel-1 to monitor snowmelt dynamics in alpine regions. We found that the multitemporal SAR allows the identification of the three phases that characterize the melting process, i.e., moistening, ripening and runoff, in a spatial distributed way. We believe that the presented investigation could have relevant applications for monitoring and predicting the snowmelt progress over large regions.
In this paper, we use for the first time the synthetic aperture radar (SAR) time series acquired...