Debris flow detection and velocity estimation using deep convolutional neural network and image processing
Author:
Funder
korea agency for infrastructure technology advancement
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s10346-022-01931-6.pdf
Reference40 articles.
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2. Arattano M, Marchi L, Cavalli M (2012) Analysis of debris-flow recordings in an instrumented basin: confirmations and new findings. NNat Haz Earth Syst Sci 12:679–686. https://doi.org/10.5194/nhess-12-679-2012
3. Arattano M, Marchi L (2000) Video-derived velocity distribution along a debris flow surge. Phys Chem Earth Part B 25:781–784. https://doi.org/10.1016/S1464-1909(00)00101-5
4. Arattano M, Marchi L (2008) Systems and sensors for debris-flow monitoring and warning. Sensors 8:2436–2452. https://doi.org/10.3390/s8042436
5. Berger C, McArdell BW, Schlunegger F (2011) Sediment transfer patterns at the Illgraben catchment, Switzerland: implications for the time scales of debris flow activities. Geomorphology 125:421–432. https://doi.org/10.1016/j.geomorph.2010.10.019
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