Unveiling Potential Industry Analytics Provided by Unmanned Aircraft System Remote Identification: A Case Study Using Aeroscope

The rapid proliferation of unmanned aircraft systems (UAS), commonly known as drones, across various industries, government applications, and recreational use necessitates a deeper understanding of their utilization and market trends. This research leverages UAS detection technology—specifically DJI’s Aeroscope—to track serial numbers and predict product usage, market penetration, and population estimation. By analyzing three years of data from Aeroscope sensors deployed around a major airport in the Southern United States, this study provides valuable insights into UAS operational patterns and platform lifespans. The findings reveal trends in platform utilization, the impact of new product releases, and the decline in legacy platform use. This offers critical data for informed decision-making in market trends, product development, and resource allocation.

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Publication Details

Journal
Drones
Published
2024-08-16
DOI
https://doi.org/10.3390/drones8080402
Citations
3
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
3.90
Controls
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article

Unveiling Potential Industry Analytics Provided by Unmanned Aircraft System Remote Identification: A Case Study Using Aeroscope

Scott R. Winter, Stephen Rice, Ryan J. Wallace, Sang-A Lee
3 citations
Drones
Air Traffic Management and Optimization
3.90
article

Unveiling Potential Industry Analytics Provided by Unmanned Aircraft System Remote Identification: A Case Study Using Aeroscope

Scott R. Winter, Stephen Rice, Ryan J. Wallace, Sang-A Lee
article en
3 citations

Abstract

The rapid proliferation of unmanned aircraft systems (UAS), commonly known as drones, across various industries, government applications, and recreational use necessitates a deeper understanding of their utilization and market trends. This research leverages UAS detection technology—specifically DJI’s Aeroscope—to track serial numbers and predict product usage, market penetration, and population estimation. By analyzing three years of data from Aeroscope sensors deployed around a major airport in the Southern United States, this study provides valuable insights into UAS operational patterns and platform lifespans. The findings reveal trends in platform utilization, the impact of new product releases, and the decline in legacy platform use. This offers critical data for informed decision-making in market trends, product development, and resource allocation.

DronesVol. 8(8)
Embry–Riddle Aeronautical University (US)
Openalex Percentile: Top 6%
Air Traffic Management and Optimization
3.90
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Unveiling Potential Industry Analytics Provided by Unmanned Aircraft System Remote Identification: A Case Study Using Aeroscope — Scott R. Winter, Stephen Rice, et al. · Drones (2024) | TGRS Research Map | TGRS