Comparative analysis and landslide susceptibility mapping of Hunza and Nagar Districts, Pakistan
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-10865-1.pdf
Reference56 articles.
1. Aditian A, Kubota T, Shinohara Y (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology 318:101–111. https://doi.org/10.1016/j.geomorph.2018.06.006
2. Ahmed B, Rahman MS, Sammonds P, Islam R, Uddin K (2020) Application of geospatial technologies in developing a dynamic landslide early warning system in a humanitarian context: the Rohingya refugee crisis in Cox’s Bazar, Bangladesh. Geomat Nat Haz Risk 11(1):446–468
3. Ali S, Biermanns P, Haider R, Reicherter K (2019) Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan. Nat Hazards Earth Syst Sci 19(5):999–1022. https://doi.org/10.5194/nhess-19-999-2019
4. Arabameri A, Pourghasemi HR (2019) 13—spatial modeling of gully erosion using linear and quadratic discriminant analyses in GIS and R. In H. R. Pourghasemi & C. Gokceoglu (Eds.), Spatial Modeling in GIS and R for Earth and Environmental Sciences (pp. 299–321). Elsevier. https://doi.org/10.1016/B978-0-12-815226-3.00013-2
5. Bacha AS, Shafique M, van der Werff H (2018) Landslide inventory and susceptibility modelling using geospatial tools, in Hunza-Nagar valley, northern Pakistan. J Mt Sci 15(6):1354–1370. https://doi.org/10.1007/s11629-017-4697-0
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