Articles | Volume 12, issue 2
https://doi.org/10.5194/tc-12-627-2018
https://doi.org/10.5194/tc-12-627-2018
Brief communication
 | 
21 Feb 2018
Brief communication |  | 21 Feb 2018

Brief Communication: Mapping river ice using drones and structure from motion

Knut Alfredsen, Christian Haas, Jeffrey A. Tuhtan, and Peggy Zinke

Related authors

Evaluating different machine learning methods to simulate runoff from extensive green roofs
Elhadi Mohsen Hassan Abdalla, Vincent Pons, Virginia Stovin, Simon De-Ville, Elizabeth Fassman-Beck, Knut Alfredsen, and Tone Merete Muthanna
Hydrol. Earth Syst. Sci., 25, 5917–5935, https://doi.org/10.5194/hess-25-5917-2021,https://doi.org/10.5194/hess-25-5917-2021, 2021
Short summary
Hydrological impacts of climate change on small ungauged catchments – results from a global climate model–regional climate model–hydrologic model chain
Aynalem T. Tsegaw, Marie Pontoppidan, Erle Kristvik, Knut Alfredsen, and Tone M. Muthanna
Nat. Hazards Earth Syst. Sci., 20, 2133–2155, https://doi.org/10.5194/nhess-20-2133-2020,https://doi.org/10.5194/nhess-20-2133-2020, 2020
Short summary
Estimating radar precipitation in cold climates: the role of air temperature within a non-parametric framework
Kuganesan Sivasubramaniam, Ashish Sharma, and Knut Alfredsen
Hydrol. Earth Syst. Sci., 22, 6533–6546, https://doi.org/10.5194/hess-22-6533-2018,https://doi.org/10.5194/hess-22-6533-2018, 2018
Short summary
Should radar precipitation depend on incident air temperature? A new estimation algorithm for cold climates
Kuganesan Sivasubramaniam, Ashish Sharma, and Knut Alfredsen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-662,https://doi.org/10.5194/hess-2017-662, 2017
Manuscript not accepted for further review
Short summary
Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework
A. S. Gragne, A. Sharma, R. Mehrotra, and K. Alfredsen
Hydrol. Earth Syst. Sci., 19, 3695–3714, https://doi.org/10.5194/hess-19-3695-2015,https://doi.org/10.5194/hess-19-3695-2015, 2015
Short summary

Related subject area

Freshwater Ice
Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China
Qian Yang, Xiaoguang Shi, Weibang Li, Kaishan Song, Zhijun Li, Xiaohua Hao, Fei Xie, Nan Lin, Zhidan Wen, Chong Fang, and Ge Liu
The Cryosphere, 17, 959–975, https://doi.org/10.5194/tc-17-959-2023,https://doi.org/10.5194/tc-17-959-2023, 2023
Short summary
Mechanisms and effects of under-ice warming water in Ngoring Lake of Qinghai–Tibet Plateau
Mengxiao Wang, Lijuan Wen, Zhaoguo Li, Matti Leppäranta, Victor Stepanenko, Yixin Zhao, Ruijia Niu, Liuyiyi Yang, and Georgiy Kirillin
The Cryosphere, 16, 3635–3648, https://doi.org/10.5194/tc-16-3635-2022,https://doi.org/10.5194/tc-16-3635-2022, 2022
Short summary
Tricentennial trends in spring ice break-ups on three rivers in northern Europe
Stefan Norrgård and Samuli Helama
The Cryosphere, 16, 2881–2898, https://doi.org/10.5194/tc-16-2881-2022,https://doi.org/10.5194/tc-16-2881-2022, 2022
Short summary
Climate warming shortens ice durations and alters freeze and break-up patterns in Swedish water bodies
Sofia Hallerbäck, Laurie S. Huning, Charlotte Love, Magnus Persson, Katarina Stensen, David Gustafsson, and Amir AghaKouchak
The Cryosphere, 16, 2493–2503, https://doi.org/10.5194/tc-16-2493-2022,https://doi.org/10.5194/tc-16-2493-2022, 2022
Short summary
Sunlight penetration dominates the thermal regime and energetics of a shallow ice-covered lake in arid climate
Wenfeng Huang, Wen Zhao, Cheng Zhang, Matti Leppäranta, Zhijun Li, Rui Li, and Zhanjun Lin
The Cryosphere, 16, 1793–1806, https://doi.org/10.5194/tc-16-1793-2022,https://doi.org/10.5194/tc-16-1793-2022, 2022
Short summary

Cited articles

Ansari, S., Rennie, C., Seidou, O., Malenchak, J., and Zare, S.: Automated monitoring of river ice processes using shore-based imagery, Cold Reg. Sci. Technol., 142, 1–16, https://doi.org/10.1016/j.coldregions.2017.06.011, 2017.
Arif, M., Gülch, E., Tuhtan, J., Thumser, P., and Haas, C.: An investigation of image processing techniques for substrate classification based on dominant grain size using RGB images from UAV, Int. J. Remote Sens., 38, 2639–2661, https://doi.org/10.1080/01431161.2016.1249309, 2016.
Beltaos, S.: River ice jams, Water Resources Publishers LLC, Highlands Ranch, Colorado, 372 pp., 1995.
Beltaos, S. and Kääb, A.: Estimating river discharge during ice breakup from near-simultaneous satellite imagery, Cold Reg. Sci. Technol., 98, 35–46, 2014.
Brooks, R. N., Prowse, T., and O'Connel, I. J.: Quantifying Northern Hemisphere freshwater ice, Geophys. Res. Lett., 40, 1128–1131, https://doi.org/10.1002/grl.50238, 2013.
Download
Short summary
The formation and breakup of ice on rivers in winter may have impacts on everything from built infrastructure to river ecology. Collecting data on river ice is challenging both technically and because since access to the ice may not always be safe. Here we use a low cost drone to map river ice using aerial imagery and a photogrammetry. Through this we can assess ice volumes, ice extent and ice formation and how ice can affect processes in the river and the utilisation of rivers in winter.