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M. Koeva

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Open access Sep 2026

A Smart Near-Real-Time Urban Groundwater Digital Twin-Based Information System for Monitoring, Forecasting, and Pump Control

In response to climate variability challenges, urban planners and water authorities increasingly rely on near-real-time urban groundwater information systems that integrate sensor data, predictive modelling, and geospatial analytics. Within smart-city frameworks, Digital Twins (DTs) provide solutions for integrating th...

Luis Rodrigoandrés Morales Ortega, M. Koeva, L. O. Olde Scholtenhuis et al. · 0 citations
Open access Sep 2026

AI-Empowered Urban Digital Twins: Integrating Geospatial and Legal Data for Spatial Planning and Governance

Urban planning increasingly requires accessible ways to connect regulatory frameworks with clear spatial visualisation and machine-assisted guidance. However, the integration of legal and geospatial information into platforms that support decision-making, communication, and participation remains limited. In particular,...

M. Koeva, D. Petrova-Antonova, S. Zlatanova et al. · 0 citations
Open access Sep 2026

From Planning Question to Spatial Database: A Geospatial Data Scheme-Aware Importer for Urban Digital Twins

Urban Digital Twins (UDTs) promise cross-sector, evidence-based planning support, yet a foundational challenge persists: ingesting heterogeneous, multi-source geospatial data into a unified, queryable spatial database. This paper presents a manual methodology for translating spatial planning questions and an open-sourc...

Iván Cárdenas-León, M. Koeva, P. Nourian et al. · 0 citations
Review Open access Aug 2026

Automatic surface extraction and web visualization workflow for large laser scanner point clouds with open-source solutions

The results demonstrate that the proposed strategy provides a scalable and flexible solution for the rapid online representation of large laser scanner datasets, supporting surface recognition, low-cost accessibility, and future semantic enrichment within web-based geospatial and Digital Twin applications.

M. La Guardia, Mauro Lo Brutto, M. Koeva et al. · 0 citations

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