UDTR — Radar mondial des droits de la Nature

Development of an open-source analytical Digital Twin framework for environmental modelling and management

Identification

Clé publique

doi:10.5194/isprs-archives-l-4-w1-2026-227-2026

Auteurs

Luke Parkinson · Matthew D. Wilson

Année déclarée

2026

Langue déclarée

en

Type source

article

Première détection

2026-11-09T19:04:47.777372+00:00

Dernière observation des métadonnées

2026-11-09T19:04:47.777372+00:00

Dernière vérification HTTP

Non effectuée

Institutions déclarées par la source

University of Canterbury

Pays d’affiliation déclarés

NZ

Résumé documentaire — langue originale

Abstract. Environmental Digital Twins are dynamic virtual representations of physical environments that support real-time monitoring, scenario modelling, and community decision-making, that hold significant promise for addressing complex environmental challenges. Yet the development of each new system typically requires substantial duplicated engineering effort, and open-source frameworks specifically designed for environmental applications remain scarce. We present the Environmental Digital Data Intelligence Engine (EDDIE), a free and open-source framework (AGPL-3.0) for building environmental Digital Twins, developed at the Geospatial Research Institute Toi Hangarau. EDDIE assembles proven free and open-source geospatial (FOSS4G) components including PostGIS, GeoServer, TerriaJS, and a Python processing stack into a modular, containerised architecture. A plugin-based module system allows domain-specific environmental models to be registered and orchestrated within a shared infrastructure, while OGC-standard service interfaces (WPS, WFS, WMS) ensure interoperability with external tools and other Digital Twin instances. EDDIE underpins three operational applications: the Flood Resilience Digital Twin (FReDT), which automates compound flood inundation modelling under climate change scenarios; the Ōtākaro Digital Twin, an environmental monitoring and modelling platform for the Ōtākaro/Avon River developed with hapū Ngāi Tūāhuriri and Christchurch City Council; and Te Awarua Kai Ora, a community hydrodynamic modelling and story-mapping platform for Te Awarua / Porirua Harbour. We describe the EDDIE architecture, present performance benchmarks for FReDT, and discuss EDDIE’s potential as a reusable community framework for the open environmental Digital Twin ecosystem.

Identifiants

OPENALEX

W7204644334

DOI

10.5194/isprs-archives-l-4-w1-2026-227-2026

Repères documentaires

Famille documentaire

Doctrine

Types déclarés par les sources

article

Entités naturelles mentionnées

Fleuve / rivière · Écosystème

Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.

Sources

OpenAlex · Document 1 · Document 2

• DOI · https://doi.org/10.5194/isprs-archives-l-4-w1-2026-227-2026
• OpenAlex · https://openalex.org/W7204644334

Statut documentaire

Pertinence à examiner

Bibliothèque

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