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The accurate monitoring of ecosystem carbon flux is the key to scientific assessment of terrestrial carbon sequestration. There is a big challenge for the tower-based eddy covariance system to cover multiple ecosystem types in a region. We introduced a multi-rotor UAV-borne flux observation system, and evaluated its observational accuracy based on the comparison of carbon flux between the multi-rotor UAV-borne flux observation system and the tower-based eddy covariance system within an experiment conducted in the reed wetland of the Liaohe Delta from July 27 to 29, 2023. The results showed that the multi-rotor UAV-borne flux observation system could monitor ecosystem carbon flux well, and the observed carbon flux source area was basically consistent with the eddy covariance system. The half-hour ecosystem carbon flux was significantly correlated with the observation results of the eddy correlation system, with a correlation coefficient of 0.889 and a root mean square error of 0.881. Our results provided a scientific basis for using the multi-rotor UAV-borne flux observation system to monitor ecosystem-atmosphere flux exchange across different ecosystem types.
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http://dx.doi.org/10.13287/j.1001-9332.202504.003 | DOI Listing |
Ying Yong Sheng Tai Xue Bao
April 2025
1 State Key Laboratory of Severe Weather Meteorological Science and Technology (LaSW)/Hebei Gucheng Agricultural Meteorology National Observation and Research Station, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
The accurate monitoring of ecosystem carbon flux is the key to scientific assessment of terrestrial carbon sequestration. There is a big challenge for the tower-based eddy covariance system to cover multiple ecosystem types in a region. We introduced a multi-rotor UAV-borne flux observation system, and evaluated its observational accuracy based on the comparison of carbon flux between the multi-rotor UAV-borne flux observation system and the tower-based eddy covariance system within an experiment conducted in the reed wetland of the Liaohe Delta from July 27 to 29, 2023.
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