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About

Paolo Allasia is an Italian geoscientist whose research sits at the intersection of geohazard monitoring, landslide dynamics, and advanced sensing technologies. His work focuses on developing and integrating innovative measurement systems — including robotized inclinometers, robotic total stations (RTS), digital image correlation, and UAV-based platforms — to achieve precise, multi-dimensional characterization of landslide behavior. Allasia's most influential contribution, cited 26 times, advances deep-seated ground deformation measurement through automated inclinometer systems, addressing a critical gap left by the rapid growth of remote sensing techniques. His 2022 work (24 citations) on fusing RTS with digital image correlation demonstrates his commitment to comprehensive 3D kinematic analysis of slope instabilities. A recurring theme across his portfolio is multi-sensor integration for near-real-time monitoring, exemplified by his UAV-based study of Ponzano landslide (19 citations). Beyond technical innovation, Allasia's research carries strong societal relevance. His 2023 study highlights how intensive monitoring can support the coexistence of mountain communities with slow-moving landslides, addressing both geological risk and socio-economic vulnerability in marginal territories. His cumulative body of work positions him as a leading voice in operational landslide monitoring methodology.