Low-complexity methods to mitigate the impact of environmental variables on low-cost UAS-based atmospheric carbon dioxide measurements

This article assesses the individual and joint impact of pressure, temperature, and relative humidity on the accuracy of atmospheric CO2 measurements collected by unmanned aerial systems (UASs) using low-cost commercial non-dispersive infrared (NDIR) sensors. We build upon previous experimental resu...

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Bibliographic Details
Published in:Atmospheric measurement techniques 2022-10, Vol.15 (19), p.5599-5618
Main Authors: Britto Hupsel de Azevedo, Gustavo, Doyle, Bill, Fiebrich, Christopher A, Schvartzman, David
Format: Article
Language:English
Subjects:
Accuracy
Aircraft
Atmospheric carbon dioxide
Carbon dioxide
Carbon dioxide measurements
Complexity
Economic aspects
Environmental aspects
Environmental impact
Experiments
Humidity
Infrared detectors
Laboratories
Low cost
Methods
Relative humidity
Sensors
Unmanned aerial vehicles
Variables
Vertical profiles
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Summary:This article assesses the individual and joint impact of pressure, temperature, and relative humidity on the accuracy of atmospheric CO2 measurements collected by unmanned aerial systems (UASs) using low-cost commercial non-dispersive infrared (NDIR) sensors. We build upon previous experimental results in the literature and present a new dataset with increased gradients for each environmental variable to match the abrupt changes found in UAS-based atmospheric vertical profiles. As a key contribution, we present a low-complexity correction procedure to mitigate the impact of these variables and reduce errors in this type of atmospheric CO2 measurement. Our findings support the use of low-cost NDIR sensors for UAS-based atmospheric CO2 measurements as a complementary in situ tool for many scientific applications.
ISSN:1867-8548
1867-1381
1867-8548
DOI:10.5194/amt-15-5599-2022