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Updated: Jul 16, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

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SAFETRANS: a system for 3D visibility estimation and cloud cover detection.

H X de Lastic, O Soupiona, V Kostopoulos

|September 14, 2023

Summary

This study introduces a new lidar-based system for estimating airport visibility and cloud cover. The system offers improved accuracy and capabilities over current equipment, enhancing aviation safety.

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Published on: May 1, 2018

Area of Science:

Atmospheric Science
Aviation Safety Technology
Remote Sensing

Background:

Accurate visibility estimation is crucial for aviation safety.
Current airport visibility and cloud cover monitoring systems have limitations.
The SAFETRANS research program aims to advance aviation safety technologies.

Purpose of the Study:

To develop and implement a lidar-based system for real-time visibility estimation.
To create a system that functions as both a visibility meter and a ceilometer.
To enhance accuracy and capabilities compared to existing standardized equipment.

Main Methods:

Development of novel algorithms for visibility estimation and cloud cover detection using lidar data.
Integration of the lidar system with standard airport equipment.
Field testing of the system in various Greek airports under diverse atmospheric conditions.

Main Results:

The lidar-based system demonstrated high accuracy in visibility estimation.
The system successfully provided simultaneous measurements of visibility and cloud cover.
Field tests confirmed the system's improved capabilities and reliability in real-world airport environments.

Conclusions:

The developed lidar system is a viable and effective tool for enhancing airport visibility and cloud cover monitoring.
The system offers significant advantages in accuracy and functionality over current standardized equipment.
This technology has the potential to improve aviation safety through more reliable real-time atmospheric data.