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Reference47 articles.
1. Alidoost F, Samadzadegan F (2013) Statistical evaluation of fitting accuracy of global and local digital elevation models in Iran. Int Archiv Photogramm, Remote Sens Spatial Inf Sci 40:19–24
2. Al-Rawabdeh A, Moussa A, Foroutan M et al (2017) Time series UAV image-based point clouds for landslide progression evaluation applications. Sensors (switzerland). https://doi.org/10.3390/s17102378
3. Ardi ND, Iryanti M, Asmoro CP et al (2018) mapping landslide potential area using fault fracture density analysis on unmanned aerial vehicle (UAV) image. IOP Conf Ser Earth Environ Sci. https://doi.org/10.1088/1755-1315/145/1/012010
4. Balamurugan G, Ramesh V, Touthang M (2016) Landslide susceptibility zonation mapping using frequency ratio and fuzzy gamma operator models in part of NH-39, Manipur, India. Nat Hazards 84:465–488. https://doi.org/10.1007/s11069-016-2434-6
5. Briceño S, Basabe P, Bonnard C, McInnes R, Jakeways J, Fairbank H, Mathie E (2007) Landslides and climate change: A world perspective, but a complex question. Landslides and Climate Change-Challenges and Solutions, Taylor and Francis Group, London