Real-time atmospheric characterization using drone swarms as sensor platforms

This study investigates the deployment of drone swarms as sensor platforms for the real-time characterization of atmospheric properties, including turbulence, humidity, and aerosols, particularly along slant paths or in challenging environments. Utilizing swarms of sensor-equipped drones allows for the measurement of environmental parameters along specific paths, enabling the acquisition of real-time, localized atmospheric data at various points along these paths. To measure turbulence, the Differential Temperature Method is used, complemented by small, lightweight, off-the-shelf sensors for assessing other atmospheric properties. This approach facilitates a detailed understanding of atmospheric conditions, leveraging the mobility and versatility of drone swarms to gather data in real-time.

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Publication Details

Published
2024-11-19
DOI
https://doi.org/10.1117/12.3031729
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.38
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article

Real-time atmospheric characterization using drone swarms as sensor platforms

Karel Desnijder, Marijke Vandewal, A. W. Ali
1 citations
Meteorological Phenomena and Simulations
0.38
article

Real-time atmospheric characterization using drone swarms as sensor platforms

Karel Desnijder, Marijke Vandewal, A. W. Ali
article en
1 citations

Abstract

This study investigates the deployment of drone swarms as sensor platforms for the real-time characterization of atmospheric properties, including turbulence, humidity, and aerosols, particularly along slant paths or in challenging environments. Utilizing swarms of sensor-equipped drones allows for the measurement of environmental parameters along specific paths, enabling the acquisition of real-time, localized atmospheric data at various points along these paths. To measure turbulence, the Differential Temperature Method is used, complemented by small, lightweight, off-the-shelf sensors for assessing other atmospheric properties. This approach facilitates a detailed understanding of atmospheric conditions, leveraging the mobility and versatility of drone swarms to gather data in real-time.

Royal Military Academy (BE)
Affordable and clean energy
Openalex Percentile: Top 38%
Meteorological Phenomena and Simulations
0.38
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