Real-time atmospheric characterization using drone swarms as sensor platforms

Karel Desnijder; Abdoulrahamane Sani Ali; Marijke Vandewal

doi:10.1117/12.3031729

18 November 2024 Real-time atmospheric characterization using drone swarms as sensor platforms

Karel Desnijder, Abdoulrahamane Sani Ali, Marijke Vandewal

Proceedings Volume 13194, Environmental Effects on Light Propagation and Adaptive Systems VII; 1319402 (2024) https://doi.org/10.1117/12.3031729
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

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.

Citation Download Citation

Karel Desnijder, Abdoulrahamane Sani Ali, and Marijke Vandewal "Real-time atmospheric characterization using drone swarms as sensor platforms", Proc. SPIE 13194, Environmental Effects on Light Propagation and Adaptive Systems VII, 1319402 (18 November 2024); https://doi.org/10.1117/12.3031729

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