| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8866587 | Remote Sensing of Environment | 2018 | 11 Pages |
Abstract
Results show that satellite products underestimate rainfall with respect to ground observations. However, by adjusting the rainfall thresholds, satellite products are able to identify landslide occurrence, even though with less accuracy than ground-based rainfall observations. Among the four satellite rainfall products, CMORPH and SM2RASC are performing the best, even though differences are small. This result is to be attributed to the high spatial/temporal resolution of CMORPH, and the good accuracy of SM2RSC. Overall, we believe that satellite rainfall estimates might be an important additional data source for developing continental or global landslide warning systems.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
M.T. Brunetti, M. Melillo, S. Peruccacci, L. Ciabatta, L. Brocca,