Articles | Volume 15, issue 1
https://doi.org/10.5194/tc-15-369-2021
© Author(s) 2021. 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-15-369-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jan 2021
Research article |
| 27 Jan 2021
| 27 Jan 2021
Snow depth time series retrieval by time-lapse photography: Finnish and Italian case studies
Marco Bongio
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Politecnico di
Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
Finnish Meteorological Institute, Erik Palménin aukio 1, P.O. Box 503, 00101 Helsinki, Finland
Cemal Melih Tanis
Finnish Meteorological Institute, Erik Palménin aukio 1, P.O. Box 503, 00101 Helsinki, Finland
Carlo De Michele
Department of Civil and Environmental Engineering, Politecnico di
Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
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Total article views: 2,083 (including HTML, PDF, and XML)
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Cited
16 citations as recorded by crossref.
- Snowfall events in the Cantabrian Mountains of northwestern Spain: WRF multiphysics ensemble assessment based on ground and multi-satellite observations A. Melón-Nava et al. 10.1016/j.atmosres.2023.106719
- Multifeature GNSS-R Snow Depth Retrieval Using GA-BP Neural Network W. Liu et al. 10.1109/LGRS.2023.3291404
- Virtual snow stakes: a new method for snow depth measurement at remote camera stations K. Strickfaden et al. 10.1002/wsb.1481
- Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland A. Caparó Bellido & B. Rundquist 10.3390/rs13112045
- Marginal snowpacks: The basis for a global definition and existing research needs J. López-Moreno et al. 10.1016/j.earscirev.2024.104751
- Timelapse images datasets (2017–2022) from Livingston and Deception Islands, Antarctica, to study snow cover and weather conditions at the PERMATHERMAL monitoring network M. de Pablo 10.1016/j.dib.2023.109970
- GNSS-IR Snow Depth Retrieval Based on the PSO-NFP Method With Multi-GNSS Constellations X. Yuan et al. 10.1109/TGRS.2024.3492495
- Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape H. Proulx et al. 10.5194/tc-17-3435-2023
- Accuracy of Copernicus Altimeter Water Level Data in Italian Rivers Accounting for Narrow River Sections C. Deidda et al. 10.3390/rs13214456
- Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes C. Fyffe et al. 10.1038/s43247-025-02379-x
- The use of terrestrial monoscopic time-lapse cameras for surveying glacier flow velocity N. Dematteis et al. 10.1016/j.coldregions.2024.104185
- Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022 J. Koehler et al. 10.3390/rs14236091
- Use of Webcams in Support of Operational Snow Monitoring C. Tanis et al. 10.3390/geosciences13030092
- Antarstick: Extracting Snow Height From Time‐Lapse Photography M. Lang et al. 10.1111/cgf.15088
- Combining TerraSAR-X and time-lapse photography for seasonal sea ice monitoring: the case of Deception Bay, Nunavik S. Dufour-Beauséjour et al. 10.5194/tc-14-1595-2020
- A low-cost method for monitoring snow characteristics at remote field sites R. Tutton & R. Way 10.5194/tc-15-1-2021
14 citations as recorded by crossref.
- Snowfall events in the Cantabrian Mountains of northwestern Spain: WRF multiphysics ensemble assessment based on ground and multi-satellite observations A. Melón-Nava et al. 10.1016/j.atmosres.2023.106719
- Multifeature GNSS-R Snow Depth Retrieval Using GA-BP Neural Network W. Liu et al. 10.1109/LGRS.2023.3291404
- Virtual snow stakes: a new method for snow depth measurement at remote camera stations K. Strickfaden et al. 10.1002/wsb.1481
- Semi-Automatic Fractional Snow Cover Monitoring from Near-Surface Remote Sensing in Grassland A. Caparó Bellido & B. Rundquist 10.3390/rs13112045
- Marginal snowpacks: The basis for a global definition and existing research needs J. López-Moreno et al. 10.1016/j.earscirev.2024.104751
- Timelapse images datasets (2017–2022) from Livingston and Deception Islands, Antarctica, to study snow cover and weather conditions at the PERMATHERMAL monitoring network M. de Pablo 10.1016/j.dib.2023.109970
- GNSS-IR Snow Depth Retrieval Based on the PSO-NFP Method With Multi-GNSS Constellations X. Yuan et al. 10.1109/TGRS.2024.3492495
- Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape H. Proulx et al. 10.5194/tc-17-3435-2023
- Accuracy of Copernicus Altimeter Water Level Data in Italian Rivers Accounting for Narrow River Sections C. Deidda et al. 10.3390/rs13214456
- Thin and ephemeral snow shapes melt and runoff dynamics in the Peruvian Andes C. Fyffe et al. 10.1038/s43247-025-02379-x
- The use of terrestrial monoscopic time-lapse cameras for surveying glacier flow velocity N. Dematteis et al. 10.1016/j.coldregions.2024.104185
- Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022 J. Koehler et al. 10.3390/rs14236091
- Use of Webcams in Support of Operational Snow Monitoring C. Tanis et al. 10.3390/geosciences13030092
- Antarstick: Extracting Snow Height From Time‐Lapse Photography M. Lang et al. 10.1111/cgf.15088
2 citations as recorded by crossref.
Latest update: 18 Jun 2025
Short summary
The capability of time-lapse photography to retrieve snow depth time series was tested. We demonstrated that this method can be efficiently used in three different case studies: two in the Italian Alps and one in a forested region of Finland, with an accuracy comparable to the most common methods such as ultrasonic sensors or manual measurements. We hope that this simple method based only on a camera and a graduated stake can enable snow depth measurements in dangerous and inaccessible sites.
The capability of time-lapse photography to retrieve snow depth time series was tested. We...
