Estimation of biogenic volatile organic compound (BVOC) emissions in forest ecosystems using drone-based lidar, photogrammetry, and image recognition technologies
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Guotong Wu
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Suping Situ
Foshan Ecological and Environmental Monitoring Station of Guangdong Province, Foshan, China
Shengjie Zhu
Department of Environmental Science, Guangdong Polytechnic of Environmental Protection Engineering, Foshan, China
Qi Zhang
Tianjin Academy of Eco-environmental Science, Tianjin, China
Yibo Huangfu
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
Weihua Chen
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong–Hong Kong–Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou, China
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Total article views: 3,585 (including HTML, PDF, and XML)
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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.
