气候变化领域集成服务门户(CCPortal): Atmospheric boundary layer height estimation from aerosol lidar: A new approach based on morphological image processing techniques

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DOI	10.5194/acp-21-4249-2021
	Atmospheric boundary layer height estimation from aerosol lidar: A new approach based on morphological image processing techniques
	Vivone G.; D'Amico G.; Summa D.; Lolli S.; Amodeo A.; Bortoli D.; Pappalardo G.
发表日期	2021
ISSN	1680-7316
起始页码	4249
结束页码	4265
卷号	21 期号:6
英文摘要	The atmospheric boundary layer (ABL) represents the lowermost part of the atmosphere directly in contact with the Earth's surface. The estimation of its depth is of crucial importance in meteorology and for anthropogenic pollution studies. ABL height (ABLH) measurements are usually far from being adequate, both spatially and temporally. Thus, different remote sensing sources can be of great help in growing both the spatial and temporal ABLH measurement capabilities. To this aim, aerosol backscatter profiles are widely used as a proxy to retrieve the ABLH. Hence, the scientific community is making remarkable efforts in developing automatic ABLH retrieval algorithms applied to lidar observations. In this paper, we propose a ABLH estimation algorithm based on image processing techniques applied to the composite image of the total attenuated backscatter coefficient. A pre-processing step is applied to the composite total backscatter image based on morphological filters to properly set-up and adjust the image to detect edges. As final step, the detected edges are post-processed through both mathematical morphology and an object-based analysis. The performance of the proposed approach is assessed on real data acquired by two different lidar systems, deployed in Potenza (Italy) and Évora (Portugal), belonging to the European Aerosol Research Lidar Network (EARLINET). The proposed approach has shown higher performance than the benchmark consisting of some state-of-The-Art ABLH estimation methods. © 2021 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	algorithm; atmospheric pollution; boundary layer; estimation method; height determination; image processing; lidar; spatiotemporal analysis; Basilicata; Evora [Portugal]; Italy; Portugal; Potenza
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/247047
作者单位	Consiglio Nazionale Delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy; Engineering School, University of Basilicata, Potenza, Italy; Department of Physics, Kent State University (Florence Campus), 800 E Summit St, Kent, OH 44240, United States; Ict Institute of Earth Sciences and Dept. of Physics, School of Sciences and Technology and Iifa, Univ. of Évora, Évora, 7000-671, Portugal; EaRSLab Earth Remote Sensing Laboratory, Univ. of Évora, Évora, 7000-671, Portugal
推荐引用方式 GB/T 7714	Vivone G.,D'Amico G.,Summa D.,et al. Atmospheric boundary layer height estimation from aerosol lidar: A new approach based on morphological image processing techniques[J],2021,21(6).
APA	Vivone G..,D'Amico G..,Summa D..,Lolli S..,Amodeo A..,...&Pappalardo G..(2021).Atmospheric boundary layer height estimation from aerosol lidar: A new approach based on morphological image processing techniques.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(6).
MLA	Vivone G.,et al."Atmospheric boundary layer height estimation from aerosol lidar: A new approach based on morphological image processing techniques".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.6(2021).