MARIA Geometric Risk Index (MARIA-GRI)

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Autore principale: Martínez González, MªÁngeles
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2025
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author Martínez González, MªÁngeles
author_facet Martínez González, MªÁngeles
contents <p><strong>MARIA–GRI: A Geometric Risk Indicator for Early Flood Instability Detection from Earth Observation Data</strong></p> <p>Flood impacts often escalate not because data are missing, but because local instabilities grow faster than current alert systems can react. Most operational warnings rely on thresholds (e.g., level or discharge), detecting overflow only after critical conditions are already forming.</p> <p>MARIA–GRI introduces a geometric risk indicator derived from EO-based velocity fields. Instead of predicting how high the water will be, GRI measures how the flow begins to deform and misalign, revealing pockets where instability concentrates before visible failure. These signals provide additional lead time for targeted, localized intervention.</p> <p>The indicator combines strain intensity with alignment-sensitive terms, remaining model-agnostic and complementary to hydrological forecasts. Initial tests suggest that GRI can highlight early “pre-failure” zones around bridges, culverts, coastal barriers and urban drainage networks.</p> <p>This repository documents the conceptual framework, preliminary validation roadmap, and potential integration paths with EO platforms and digital-twin environments. MARIA–GRI aims to evolve into an operational layer supporting civil-protection agencies with interpretable, near-real-time risk insights.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18088684
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle MARIA Geometric Risk Index (MARIA-GRI)
Martínez González, MªÁngeles
Flood risk; Earth Observation; Geometric indicators; Navier–Stokes; Hydrodynamics; Early warning; Civil protection; Digital twins; Remote sensing; Disaster resilience
<p><strong>MARIA–GRI: A Geometric Risk Indicator for Early Flood Instability Detection from Earth Observation Data</strong></p> <p>Flood impacts often escalate not because data are missing, but because local instabilities grow faster than current alert systems can react. Most operational warnings rely on thresholds (e.g., level or discharge), detecting overflow only after critical conditions are already forming.</p> <p>MARIA–GRI introduces a geometric risk indicator derived from EO-based velocity fields. Instead of predicting how high the water will be, GRI measures how the flow begins to deform and misalign, revealing pockets where instability concentrates before visible failure. These signals provide additional lead time for targeted, localized intervention.</p> <p>The indicator combines strain intensity with alignment-sensitive terms, remaining model-agnostic and complementary to hydrological forecasts. Initial tests suggest that GRI can highlight early “pre-failure” zones around bridges, culverts, coastal barriers and urban drainage networks.</p> <p>This repository documents the conceptual framework, preliminary validation roadmap, and potential integration paths with EO platforms and digital-twin environments. MARIA–GRI aims to evolve into an operational layer supporting civil-protection agencies with interpretable, near-real-time risk insights.</p>
title MARIA Geometric Risk Index (MARIA-GRI)
topic Flood risk; Earth Observation; Geometric indicators; Navier–Stokes; Hydrodynamics; Early warning; Civil protection; Digital twins; Remote sensing; Disaster resilience
url https://doi.org/10.5281/zenodo.18088684