Impact of Atmospheric Turbulence on Data Quality During BVLOS UAV Missions in Antarctic Conditions

This article presents an analysis of the impact of atmospheric turbulence on the quality of images obtained during photogrammetric missions in Antarctica using a fixed-wing UAV operating in BVLOS mode. Image quality was evaluated primarily by the degree of blurring, which served as the main assessment criterion. In the Antarctic region, turbulence is a frequent phenomenon and can occur even under very light wind conditions, which formed the basis of this study. Autopilot log data were used to conduct a series of analyses, resulting in maps of areas where turbulence symptoms were recorded. In parallel, the quality of images captured during the mission was examined, producing a map of blurring levels assessed on a five-point scale. The study shows that UAV image blurring is mainly caused by sudden camera movements, mechanical vibrations from the propulsion system, and atmospheric turbulence that disrupts flight stability and overloads image stabilization. Additional factors such as low-light conditions, fog, haze, precipitation, glare, and moving shadows further reduce image clarity.

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Publication Details

Journal
Drones
Published
2026-03-09
DOI
https://doi.org/10.3390/drones10030187
Primary Topic
Satellite Image Processing and Photogrammetry
Type
article
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article

Impact of Atmospheric Turbulence on Data Quality During BVLOS UAV Missions in Antarctic Conditions

Mirosław Rodzewicz, Anna Zmarz
Drones
Satellite Image Processing and Photogrammetry
article

Impact of Atmospheric Turbulence on Data Quality During BVLOS UAV Missions in Antarctic Conditions

Mirosław Rodzewicz, Anna Zmarz
article en

Abstract

This article presents an analysis of the impact of atmospheric turbulence on the quality of images obtained during photogrammetric missions in Antarctica using a fixed-wing UAV operating in BVLOS mode. Image quality was evaluated primarily by the degree of blurring, which served as the main assessment criterion. In the Antarctic region, turbulence is a frequent phenomenon and can occur even under very light wind conditions, which formed the basis of this study. Autopilot log data were used to conduct a series of analyses, resulting in maps of areas where turbulence symptoms were recorded. In parallel, the quality of images captured during the mission was examined, producing a map of blurring levels assessed on a five-point scale. The study shows that UAV image blurring is mainly caused by sudden camera movements, mechanical vibrations from the propulsion system, and atmospheric turbulence that disrupts flight stability and overloads image stabilization. Additional factors such as low-light conditions, fog, haze, precipitation, glare, and moving shadows further reduce image clarity.

DronesVol. 10(3)
Institute of Power Engineering (PL), University of Warsaw (PL)
Life below water
Openalex Percentile: Top 31%
Satellite Image Processing and Photogrammetry
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Impact of Atmospheric Turbulence on Data Quality During BVLOS UAV Missions in Antarctic Conditions — Mirosław Rodzewicz, Anna Zmarz · Drones (2026) | TGRS Research Map | TGRS