Landslide Susceptibility Mapping in Terms of the Slope-Unit or Raster-Unit, Which is Better?
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12583-021-1407-1.pdf
Reference48 articles.
1. Alvioli, M., Marchesini, I., Reichenbach, P., et al., 2016. Automatic Delineation of Geomorphological Slope Units with R. Slope Units V1.0 and Their Optimization for Landslide Susceptibility Modeling. Geoscientific Model Development, 9(11): 3975–3991. https://doi.org/10.5194/gmd-9-3975-2016
2. Arnone, E., Francipane, A., Scarbaci, A., et al., 2016. Effect of Raster Resolution and Polygon-Conversion Algorithm on Landslide Susceptibility Mapping. Environmental Modelling & Software, 84: 467–481. https://doi.org/10.1016/j.envsoft.2016.07.016
3. Bornaetxea, T., Rossi, M., Marchesini, I., et al., 2018. Effective Surveyed Area and Its Role in Statistical Landslide Susceptibility Assessments. Natural Hazards and Earth System Sciences, 18(9): 2455–2469. https://doi.org/10.5194/nhess-18-2455-2018
4. Budimir, M. E. A., Atkinson, P. M., Lewis, H. G., 2015. A Systematic Review of Landslide Probability Mapping Using Logistic Regression. Landslides, 12(3): 419–436. https://doi.org/10.1007/s10346-014-0550-5
5. Cama, M., Conoscenti, C., Lombardo, L., et al., 2016. Exploring Relationships between Grid Cell Size and Accuracy for Debris-Flow Susceptibility Models: A Test in the Giampilieri Catchment (Sicily, Italy). Environmental Earth Sciences, 75(3): 1–21. https://doi.org/10.1007/s12665-015-5047-6
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