UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection

doi:10.3390/app12010184

	UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection
	Zhao, Ming 2,3; Fang, Zhiyuan 1,2,3; Yang, Hao 1,2,3; Cheng, Liangliang 1,2,3,4; Chen, Jianfeng 1,2,3; Xie, Chenbo 2,3
刊名	APPLIED SCIENCES-BASEL
	2022
卷号	12
关键词	UAVC Raman-Mie Lidar overlap factor low-altitude aerosol
DOI	10.3390/app12010184
通讯作者	Chen, Jianfeng(jianfengchen1212@mail.ustc.edu.cn) ; Xie, Chenbo(cbxie@aiofm.ac.cn)
英文摘要	A method to calibrate the overlap factor of Lidar is proposed, named unmanned aerial vehicle correction (UAVC), which uses unmanned aerial vehicles (UAVs) to detect the vertical distribution of particle concentrations. The conversion relationship between the particulate matter concentration and the aerosol extinction coefficient is inverted by the high-altitude coincidence of the vertical detection profiles of the UAV and Lidar. Using this conversion relationship, the Lidar signal without the influence of the overlap factor can be inverted. Then, the overlap factor profile is obtained by comparing the signal with the original Lidar signal. A 355 nm Raman-Mie Lidar and UAV were used to measure overlap factors under different weather conditions. After comparison with the Raman method, it is found that the overlap factors calculated by the two methods are in good agreement. The changing trend of the extinction coefficient at each height is relatively consistent, after comparing the inversion result of the corrected Lidar signal with the ground data. The results show that after the continuously measured Lidar signal is corrected by the overlap factor measured by this method, low-altitude aerosol information can be effectively obtained.
资助项目	Civil Aerospace Technology Pre-Research Project[D040103] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA17040524] ; Key Program of the 13th Five-Year Plan, CASHIPS[KP-2019-05]
WOS关键词	YANGTZE-RIVER DELTA ; FORM-FACTOR ; AEROSOLS ; RAMAN ; CLIMATE ; EPISODE ; CHINA
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000741250800001
资助机构	Civil Aerospace Technology Pre-Research Project ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Program of the 13th Five-Year Plan, CASHIPS
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/127253]
专题	中国科学院合肥物质科学研究院
通讯作者	Chen, Jianfeng; Xie, Chenbo
作者单位	1.Grad Sch USTC, Scinece Isl Branch, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China 3.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China 4.Hefei Normal Univ, Anhui Prov Key Lab Simulat & Design Elect Informa, Hefei 230601, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Ming,Fang, Zhiyuan,Yang, Hao,et al. UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection[J]. APPLIED SCIENCES-BASEL,2022,12.
APA	Zhao, Ming,Fang, Zhiyuan,Yang, Hao,Cheng, Liangliang,Chen, Jianfeng,&Xie, Chenbo.(2022).UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection.APPLIED SCIENCES-BASEL,12.
MLA	Zhao, Ming,et al."UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection".APPLIED SCIENCES-BASEL 12(2022).