Measures (MEASURES)

Projects

iMpatto dElle frAne SU REti infraStrutturali

ASI

Client: ASI

Partners: CNR-IRPI, CNR-IREA, Università di Pavia, Autorità di distretto dell'Appennino Meridionale, CUGRI

23/10/2025 - 22/10/2027

Involved offices: Torino, Perugia

Internal contact person: Daniele Giordan

Email: daniele.giordan@cnr.it

The MEASURES project, developed within the ASI Innovation for Downstream Preparation for Public Administrations (I4DP_PA) program, aims to implement an advanced technical–operational service for analysing the interaction between slow-moving landslide phenomena and infrastructure networks. Through the synergistic integration of Earth Observation (EO) data — including displacement measurements derived from multi-temporal SAR interferometry (DInSAR) and multispectral optical sensors — with thematic geodatabases and landslide inventories (IFFI, PAI), the project seeks to overcome the current fragmentation of data by providing a high-TRL (Technology Readiness Level) Decision Support System (DSS).

The system is structured on two functional levels: a baseline configuration for large-scale qualitative analysis and an advanced configuration for quantitative, site-specific characterisation of expected damage to critical infrastructure.

The project aims to develop a demonstrative technical–operational service, implemented as a WebGIS tool, capable of identifying infrastructure segments interacting with slow-moving landslide phenomena, namely those most likely to interfere with linear infrastructures and transportation networks

Expected objectives: The MEASURES tool will be released in two versions: a baseline version, which will provide a large-scale qualitative analysis of the territory by integrating satellite data with in situ measurements available in existing archives and inventories, and an advanced version, which will make use of satellite data with high spectral resolution (multi/hyperspectral sensors) and will be capable of delivering a more quantitative and detailed analysis of the expected level of damage to infrastructure.

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