Ensemble of global landslide susceptibility
<p>This ensemble of global landslide susceptibility maps at a 36-km spatial resolution on the EASEv2 grid has been created through a combination of blocked random cross validation and predictor variable perturbation. In total, the ensemble has 2500 members, each obtained from a logistic regression equation with 5 predictor variables. Note that these predictor variables vary between ensemble members, as do the logistic regression parameters (study design of data-driven predictor variable selection with cross validation). For details, please see Felsberg, A., Poesen, J., Bechtold, M., Vanmaercke, M., and De Lannoy, G. J. M. (2022): Estimating global landslide susceptibility and its uncertainty through ensemble modelling, Natural Hazards and Earth System Sciences.</p> <p>Provided are the individual ensemble member maps (FelsbergEtAl2022_LSS_ensMemb_all.nc4c), as well as the ensemble average and standard deviation maps (FelsbergEtAl2022_LSS_ensavg.nc4c, FelsbergEtAl2022_LSS_ensstd.nc4c). More details can be found in the README.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- July 23, 2022
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.6893229
Scored with release 0.9.0
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