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: 3,339 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,519
722
98
3,339
107
140
HTML: 2,519
PDF: 722
XML: 98
Total: 3,339
BibTeX: 107
EndNote: 140
Views and downloads (calculated since 04 Mar 2024)
Cumulative views and downloads
(calculated since 04 Mar 2024)
Total article views: 2,509 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,057
394
58
2,509
60
89
HTML: 2,057
PDF: 394
XML: 58
Total: 2,509
BibTeX: 60
EndNote: 89
Views and downloads (calculated since 08 Jul 2024)
Cumulative views and downloads
(calculated since 08 Jul 2024)
Total article views: 830 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
462
328
40
830
47
51
HTML: 462
PDF: 328
XML: 40
Total: 830
BibTeX: 47
EndNote: 51
Views and downloads (calculated since 04 Mar 2024)
Cumulative views and downloads
(calculated since 04 Mar 2024)
Viewed (geographical distribution)
Total article views: 3,339 (including HTML, PDF, and XML)
Thereof 3,239 with geography defined
and 100 with unknown origin.
Total article views: 2,509 (including HTML, PDF, and XML)
Thereof 2,451 with geography defined
and 58 with unknown origin.
Total article views: 830 (including HTML, PDF, and XML)
Thereof 788 with geography defined
and 42 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.
