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...

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Bibliographic Details
Published in:Hydrology and earth system sciences 2021-06, Vol.25 (6), p.3267-3279
Main Authors: Brunetti, Maria Teresa, Melillo, Massimo, Gariano, Stefano Luigi, Ciabatta, Luca, Brocca, Luca, Amarnath, Giriraj, Peruccacci, Silvia
Format: Article
Language:English
Subjects:
Comparative analysis
Comparative studies
Daily
Daily rainfall
Developing countries
Early warning systems
Emergency communications systems
Empirical analysis
Estimates
Global precipitation
India
Landslide warnings
Landslides
Landslides & mudslides
LDCs
Precipitation
Predictions
Rain
Rain and rainfall
Rain gauges
Rainfall
Rainfall forecasting
Rainfall measurement
Remote sensing
Resolution
Satellite observation
Satellites
Temporal resolution
Topography
Warning systems
Weather forecasting
Wind
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Summary: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 space and time, particularly satellite rainfall products that have improved in terms of accuracy and resolution in recent times. Surprisingly, only a few studies have investigated the capability and effectiveness of these products in landslide prediction in reducing the impact of this hazard on the population.
ISSN:1607-7938
1027-5606
1607-7938
DOI:10.5194/hess-25-3267-2021