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Author

M. Lillo‐Saavedra

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Open access 2026

Rainfall-Induced Landslide Detection in the Central–Southern Andes of Chile Using Integrated SAR, Optical, and Machine-Learning Approaches in Google Earth Engine

Overall, normalized difference vegetation index percentage change combined with RF provided the most robust performance for operational landslide probability mapping.

Luis Gajardo, Edilia Jaque-Castillo, M. Lillo-Saavedra et al. · 0 citations
Jul 2026

Detecting rainfall-induced landslides with Sentinel-1 SAR: Evidence from the Andes

Rainfall-induced landslides are among the main geodynamic processes reshaping the Earth’s surface and causing human and material losses worldwide. In Chile, their spatial analysis remains constrained by the scarcity of systematic inventories, particularly in the Andean Cordillera. In this context, this study presents a...

Luis Alberto Gajardo Pino, Edilia Jaque-Castillo, M. Lillo‐Saavedra · 0 citations

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