Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4065-2024
https://doi.org/10.5194/amt-17-4065-2024
Research article
 | 
08 Jul 2024
Research article |  | 08 Jul 2024

Estimation of biogenic volatile organic compound (BVOC) emissions in forest ecosystems using drone-based lidar, photogrammetry, and image recognition technologies

Xianzhong Duan, Ming Chang, Guotong Wu, Suping Situ, Shengjie Zhu, Qi Zhang, Yibo Huangfu, Weiwen Wang, Weihua Chen, Bin Yuan, and Xuemei Wang

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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Cited articles

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Accurately estimating biogenic volatile organic compound (BVOC) emissions in forest ecosystems has been challenging. This research presents a framework that utilizes drone-based lidar, photogrammetry, and image recognition technologies to identify plant species and estimate BVOC emissions. The largest cumulative isoprene emissions were found in the Myrtaceae family, while those of monoterpenes were from the Rubiaceae family.
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