Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.18088684 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of 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>