Plume motion characterization in UAV aerial video and imagery

Mehrube Mehrubeoglu; Kirk Cammarata; Hua Zhang; Lifford McLauchlan

doi:10.1117/12.2665106

13 June 2023 Plume motion characterization in UAV aerial video and imagery

Mehrube Mehrubeoglu, Kirk Cammarata, Hua Zhang, Lifford McLauchlan

Proceedings Volume 12528, Real-Time Image Processing and Deep Learning 2023; 1252808 (2023) https://doi.org/10.1117/12.2665106
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Sediment plumes are generated from both natural and human activities in benthic environments, increasing the turbidity of the water and reducing the amount of sunlight reaching the benthic vegetation. Seagrasses, which are photosynthetic bioindicators of their environment, are threatened by chronic reductions in sunlight, impacting entire aquatic food chains. This research uses UAV aerial video and imagery to investigate the characteristics of sediment plumes generated by a model of anthropogenic disturbance. The extent, speed and motion of the plumes were assessed as these parameters may pertain to the potential impacts of plume turbidity on seagrass communities. In a case study using UAV video, the turbidity plume was observed to spread over 250 feet over 20 minutes of the UAV campaign. The directional speed of the plume was estimated to be between 10.4 and 10.6 ft/min. This was corroborated by observation of greatest plume turbidity and sediment load near the location of disturbance and diminishing with distance. Further temporal studies are necessary to determine long-term, if any, impacts of human activity-generated sediment plumes on seagrass beds.

Conference Presentation

Citation Download Citation

Mehrube Mehrubeoglu, Kirk Cammarata, Hua Zhang, and Lifford McLauchlan "Plume motion characterization in UAV aerial video and imagery", Proc. SPIE 12528, Real-Time Image Processing and Deep Learning 2023, 1252808 (13 June 2023); https://doi.org/10.1117/12.2665106

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