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
Viewed
Total article views: 3,142 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,393
662
87
3,142
101
131
HTML: 2,393
PDF: 662
XML: 87
Total: 3,142
BibTeX: 101
EndNote: 131
Views and downloads (calculated since 04 Mar 2024)
Cumulative views and downloads
(calculated since 04 Mar 2024)
Total article views: 2,366 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,945
372
49
2,366
55
82
HTML: 1,945
PDF: 372
XML: 49
Total: 2,366
BibTeX: 55
EndNote: 82
Views and downloads (calculated since 08 Jul 2024)
Cumulative views and downloads
(calculated since 08 Jul 2024)
Total article views: 776 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
448
290
38
776
46
49
HTML: 448
PDF: 290
XML: 38
Total: 776
BibTeX: 46
EndNote: 49
Views and downloads (calculated since 04 Mar 2024)
Cumulative views and downloads
(calculated since 04 Mar 2024)
Viewed (geographical distribution)
Total article views: 3,142 (including HTML, PDF, and XML)
Thereof 3,054 with geography defined
and 88 with unknown origin.
Total article views: 2,366 (including HTML, PDF, and XML)
Thereof 2,314 with geography defined
and 52 with unknown origin.
Total article views: 776 (including HTML, PDF, and XML)
Thereof 740 with geography defined
and 36 with unknown origin.
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.
