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Title: Atmospheric boundary layer height estimation from aerosol lidar: A new approach based on morphological image processing techniques
Authors: Vivone, Gemine
D'amico, Giuseppe
Summa, Donato
Lolli, Simone
Amodeo, Aldo
Bortoli, Daniele
Pappalardo, Gelsomina
Keywords: algorithm
atmospheric pollution
boundary layer
estimation method
height determination
image processing
spatiotemporal analysis
Issue Date: 19-Mar-2021
Publisher: Copernicus GmbH
Citation: Gemine Vivone, Giuseppe D'Amico, Donato Summa, Simone Lolli, Aldo Amodeo, Daniele Bortoli, and Gelsomina Pappalardo (2021), Atmospheric Boundary Layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques, Atmospheric Chemistry and Physics, 21 (6), pp. 4249-4265
Abstract: 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.
Type: article
Appears in Collections:FIS - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
ICT - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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