Articles | Volume 25, issue 6
https://doi.org/10.5194/hess-25-3267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jun 2021
Research article |
| 16 Jun 2021
| 16 Jun 2021
Satellite rainfall products outperform ground observations for landslide prediction in India
Maria Teresa Brunetti
CORRESPONDING AUTHOR
CNR IRPI, Via Madonna Alta 126, 06128, Perugia, Italy
Massimo Melillo
CNR IRPI, Via Madonna Alta 126, 06128, Perugia, Italy
Stefano Luigi Gariano
CNR IRPI, Via Madonna Alta 126, 06128, Perugia, Italy
Luca Ciabatta
CNR IRPI, Via Madonna Alta 126, 06128, Perugia, Italy
Luca Brocca
CNR IRPI, Via Madonna Alta 126, 06128, Perugia, Italy
Giriraj Amarnath
International Water Management Institute, Colombo, Sri Lanka
Silvia Peruccacci
CNR IRPI, Via Madonna Alta 126, 06128, Perugia, Italy
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Latest update: 25 Dec 2024
Short summary
Satellite and rain gauge data are tested to predict landslides in India, where the annual toll of human lives and loss of property urgently demands the implementation of strategies to prevent geo-hydrological instability. For this purpose, we calculated empirical rainfall thresholds for landslide initiation. The validation of thresholds showed that satellite-based rainfall data perform better than ground-based data, and the best performance is obtained with an hourly temporal resolution.
Satellite and rain gauge data are tested to predict landslides in India, where the annual toll...
