Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12665-024-11442-3.pdf
Reference69 articles.
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3. Arnone E, Francipane A, Scarbaci A, Puglisi C, Noto LV (2016) Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping. Environ Modell Softw 84:467–481. https://doi.org/10.1016/j.envsoft.2016.07.016
4. Bell R, Petschko H, Röhrs M, Dix A (2012) Assessment of landslide age, landslide persistence and human impact using airborne laser scanning digital terrain models. Geogr Ann Ser B 94(1):135–156. https://doi.org/10.1111/j.1468-0459.2012.00454.x
5. Bien TX, Iqbal M, Jamal A et al (2023) Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas. Stoch Environ Res Risk Assess. https://doi.org/10.1007/s00477-023-02521-1
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