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Numerical investigation of the mixed-mode failure of snow
Mulak, D., & Gaume, J. (2019). Numerical investigation of the mixed-mode failure of snow. Computational Particle Mechanics, 6, 439-447. https://doi.org/10.1007/s40571-019-00224-5
Subaquatic digital elevation models from UAV-imagery
Mulsow, C., Kenner, R., Bühler, Y., Stoffel, A., & Maas, H. G. (2018). Subaquatic digital elevation models from UAV-imagery. In F. Remondino, I. Toschi, & T. Fuse (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Vol. XLII-2. ISPRS TC II Mid-term Symposium "Towards Photogrammetry 2020" (pp. 739-744). https://doi.org/10.5194/isprs-archives-XLII-2-739-2018
Методы дистанционного зондирования и численного моделирования для изучения селевых потоков в бассейнах рек Ахангаран и Тегермеч. Remote sensing techniques and numerical simulation of debris flows in the Akhangaran and Tegermech Rivers basins, using RAMMS
Semakova, E., Alimov, Y., Sichugova, L., Semakov, D., & Graf, C. (2018). Методы дистанционного зондирования и численного моделирования для изучения селевых потоков в бассейнах рек Ахангаран и Тегермеч. Remote sensing techniques and numerical simulation of debris flows in the Akhangaran and Tegermech Rivers basins, using RAMMS software. In S. S. Chernomorets & G. V. Gavardashvili (Eds.), Debris flows: disasters, risk, forecast, protection. Proceedings of the 5th international conference (pp. 571-575). Tbilisi: Publishing House "Universal".
An alternative approach to transverse and profile terrain curvature
Krebs, P., Stocker, M., Pezzatti, G. B., & Conedera, M. (2015). An alternative approach to transverse and profile terrain curvature. International Journal of Geographical Information Science, 29(4), 643-666. https://doi.org/10.1080/13658816.2014.995102
Accuracy assessment of digital surface models based on worldview-2 and ADS80 stereo remote sensing data
Hobi, M. L., & Ginzler, C. (2012). Accuracy assessment of digital surface models based on worldview-2 and ADS80 stereo remote sensing data. Sensors, 12(5), 6347-6368. https://doi.org/10.3390/s120506347