Satellite rainfall products outperform ground observations for landslide prediction in India
Landslides are among the most dangerous natural hazards, particularly in developing countries, where ground observations for operative early warning systems are lacking. In these areas, remote sensing can represent an important detection and monitoring process to predict landslide occurrence in spac...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Copernicus GmbH
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/114014 |
Similar Items: Satellite rainfall products outperform ground observations for landslide prediction in India
- Exploiting a constellation of satellite soil moisture sensors for accurate rainfall estimation
- Accuracy of satellite and reanalysis rainfall estimates over Africa: a multi-scale assessment of eight products for continental applications
- Calibration and resolution effects on model performance for predicting shallow landslide locations in Taiwan
- Landslide hazard assessment on the Ugandan footslopes of Mount Elgon: The worst is yet to come
- A review of the applications of ASCAT [ Advanced SCATterometer] soil moisture products
- Tree Roots Anchoring and Binding Soil Reducing Landslide Risk in Indonesian Agroforestry