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Yiyun Li
Researcher at South China Normal University
Publications - 16
Citations - 223
Yiyun Li is an academic researcher from South China Normal University. The author has contributed to research in topics: Lidar & Mercury (element). The author has an hindex of 7, co-authored 16 publications receiving 153 citations. Previous affiliations of Yiyun Li include Texas A&M University.
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Journal ArticleDOI
Insect abundance over Chinese rice fields in relation to environmental parameters, studied with a polarization-sensitive CW near-IR lidar system
Shiming Zhu,Elin Malmqvist,Wansha Li,Samuel Jansson,Yiyun Li,Zheng Duan,Katarina Svanberg,Katarina Svanberg,Hongqiang Feng,Ziwei Song,Guangyu Zhao,Guangyu Zhao,Mikkel Brydegaard,Sune Svanberg,Sune Svanberg +14 more
TL;DR: In this paper, a continuous-wave lidar system was used to monitor the flying insect diurnal activity and also the influence of changes in weather conditions, e.g., the occurrence of rain.
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Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene
Ziwei Song,Bao-Xin Zhang,Hongqiang Feng,Shiming Zhu,Lingna Hu,Mikkel Brydegaard,Yiyun Li,Samuel Jansson,Elin Malmqvist,Katarina Svanberg,Katarina Svanberg,Guangyu Zhao,Joakim Bood,Sune Svanberg,Sune Svanberg,Dun-Song Li +15 more
TL;DR: An overview of lidar remote sensing applied to the Chinese scene showed that the insect species were abundant, that insects detected by the lidar system were attracted to light and that light rain increased the insect activity.
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Mobile lidar system for environmental monitoring
TL;DR: In this article, a mobile optical remote sensing system utilizing light detection and ranging (lidar) technology has been constructed and adapted for multidisciplinary environmental monitoring tasks on the Chinese scene.
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Laser spectroscopy applied to environmental, ecological, food safety, and biomedical research
Sune Svanberg,Guangyu Zhao,Hao Zhang,Jing Huang,Ming Lian,Tianqi Li,Shiming Zhu,Yiyun Li,Zheng Duan,Huiying Lin,Katarina Svanberg +10 more
TL;DR: Air pollution and vegetation monitoring by lidar techniques, as well as agricultural pest insect monitoring and classification by elastic scattering and fluorescence spectroscopy, and medical diagnostics of sinusitis and otitis are described.
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Optical characterization of agricultural pest insects: a methodological study in the spectral and time domains
Yiyun Li,H. Zhang,Zheng Duan,M. Lian,Guangyu Zhao,X. H. Sun,J. D. Hu,L. N. Gao,H. Q. Feng,Sune Svanberg,Sune Svanberg +10 more
TL;DR: In this paper, an optical system based on the combination of close-range remote sensing and reflectance spectroscopy was developed to study the optical characteristics of different flying insects, collected in Southern China.