POSSIBLE CONTRIBUTIONS OF CITIZEN SCIENCE FOR LANDSLIDE HAZARD ASSESSMENT

7 citations as recorded by crossref.

1. A CitSci app for landslide data collection S. Kocaman & C. Gokceoglu
2. A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey R. Can et al.
3. Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost) T. Kavzoglu & A. Teke
4. Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR) C. Juang et al.
5. Derivation of earthquake-induced landslide distribution using aerial photogrammetry: the January 24, 2020, Elazig (Turkey) earthquake G. Karakas et al.
6. How to Include Crowd-Sourced Photogrammetry in a Geohazard Observatory—Case Study of the Giant’s Causeway Coastal Cliffs M. Jaud et al.
7. Review article: Natural hazard risk assessments at the global scale P. Ward et al.