Table 1 Overview of previous studies on LSM from global to national scale.
Scale | Landslide Datasets | Resolution (m) | Approach |
|---|---|---|---|
Global | 3,000 | 1000 | Weighted linear combination24 |
Global | 555 | 27,800 | Weighted linear combination49 |
Global | 62,898 | 1000 | Heuristic fuzzy19 |
Global | 14,290 | 1000 | Machine Learning5 |
Continental | 613,724 | 90 | Empirical slope-relief threshold model7 |
China | 1,200 | 1,000 | Artificial Neural Networks50 |
China | 452 | 1,000 | Maximum Entropy Model51 |
China | 246,593 | 40 | Random Forest52 |
Europe | 102,000 | 1000 | AHP & Frequency ratio53 |
Georgia | 1,350 | 100 | Weighted linear combination54 |
Iran | 4,069 | 85 | Deep learning55 |
Africa | 18,050 | 1,000 | Logistic regression56 |
Caribbean | 318 | 1,000 | Fuzzy overlay16 |
South Korea | 6348 | 30 | Ensemble machine learning57 |
South Korea | 4215 | 100 | Machine Learning58 |
India | 49,105 point and 105,224 polygons | 100 | Machine Learning48 |
