Olga Roussou
Biographic Data
| ID | 9965941 |
|---|---|
| NAME | Olga Roussou |
| GIVEN NAMES | Olga |
| FAMILY NAME | Roussou |
| SIGNATURE | ROUSSOU O |
| AFFILIATIONS | University of the Aegean |
| ORCID | 0009-0008-7619-3124 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Distinguishing Sensor Errors from Environmental Events
Low-cost environmental sensors in smart cities play a critical role in monitoring the environment, offering real-time information for urban management. The reliability of smart sensors remains uncertain, since sensors may report outliers when malfunctioning, or due to anomalies in the environment or extreme occurrences, which might skew the analysis if not treated carefully. The study seeks to support the distinction between likely sensor anomali…
Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data
Geoinformatics plays an essential role during the recovery phase of a post-earthquake situation. The aim of this paper is to present the methodology followed and the results obtained by the utilization of Unmanned Aircraft Systems (UASs) 4K-video footage processing and the automation of geo-information methods targeted at both monitoring the demolition process and mapping the demolished buildings. The field campaigns took place on the traditional…
No prominent works on this page.
Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data
Geoinformatics plays an essential role during the recovery phase of a post-earthquake situation. The aim of this paper is to present the methodology followed and the results obtained by the utilization of Unmanned Aircraft Systems (UASs) 4K-video footage processing and the automation of geo-information methods targeted at both monitoring the demolition process and mapping the demolished buildings. The field campaigns took place on the traditional…
Distinguishing Sensor Errors from Environmental Events
Low-cost environmental sensors in smart cities play a critical role in monitoring the environment, offering real-time information for urban management. The reliability of smart sensors remains uncertain, since sensors may report outliers when malfunctioning, or due to anomalies in the environment or extreme occurrences, which might skew the analysis if not treated carefully. The study seeks to support the distinction between likely sensor anomali…
3D Surveying and Cultural Heritage (1 work) · Air Quality Monitoring and Forecasting (1 work) · Anomaly detection (1 work) · Anomaly Detection Techniques and Applications (1 work) · Archaeological Research and Protection (1 work) · Artificial Intelligence (1 work) · Civil engineering (1 work) · Computer Science (1 work) · Demolition (1 work) · Engineering (1 work)