High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy

Simone Lolli; Luciano Alparone; Muhammad Bilal; Andrea Garzelli; Gemine Vivone

doi:10.1117/12.2325853

High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy

Simone Lolli^*
, Luciano Alparone
, Muhammad Bilal
, Andrea Garzelli
, Gemine Vivone

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Natural and anthropogenic aerosol emissions play a fundamental role both in directly modulating the incoming solar radiation and affecting air quality in the planetary boundary layer. Likewise, their indirect effects impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is of crucial importance to assess aerosol spatial and temporal variability to reduce the uncertainty in forecasting future scenarios by the climatological models. In this study we developed an image based robust methodology that permits to retrieve the atmospheric path radiance and then the Aerosol Optical Depth (AOD) using satellite high-resolution spatial images paired with the Fu-Liou-Gu radiative transfer model. We applied our methodology to study aerosol variability in the PO valley (Northern Italy), one of the most polluted region in Europe.

Original language	English
Title of host publication	Remote Sensing of Clouds and the Atmosphere XXIII
Editors	Adolfo Comeron, Evgueni I. Kassianov, Richard H. Picard, Klaus Schafer, Konradin Weber
Publisher	SPIE
ISBN (Electronic)	9781510621558
DOIs	https://doi.org/10.1117/12.2325853
State	Published - 2018
Externally published	Yes
Event	Remote Sensing of Clouds and the Atmosphere XXIII 2018 - Berlin, Germany Duration: 12 Sep 2018 → 13 Sep 2018

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10786
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing of Clouds and the Atmosphere XXIII 2018
Country/Territory	Germany
City	Berlin
Period	12/09/18 → 13/09/18

Bibliographical note

Publisher Copyright:
© 2018 SPIE.

Keywords

Aerosol optical depth
Aerosols
Air quality
Atmospheric path-radiance
Change analysis
Fu-Liou-Gu
Google earth engine
Image fusion
Po Valley
Radiative transfer model

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2325853

Cite this

Lolli, S., Alparone, L., Bilal, M., Garzelli, A., & Vivone, G. (2018). High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy. In A. Comeron, E. I. Kassianov, R. H. Picard, K. Schafer, & K. Weber (Eds.), Remote Sensing of Clouds and the Atmosphere XXIII Article 1078606 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10786). SPIE. https://doi.org/10.1117/12.2325853

Lolli, Simone ; Alparone, Luciano ; Bilal, Muhammad et al. / High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy. Remote Sensing of Clouds and the Atmosphere XXIII. editor / Adolfo Comeron ; Evgueni I. Kassianov ; Richard H. Picard ; Klaus Schafer ; Konradin Weber. SPIE, 2018. (Proceedings of SPIE - The International Society for Optical Engineering).

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title = "High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy",

abstract = "Natural and anthropogenic aerosol emissions play a fundamental role both in directly modulating the incoming solar radiation and affecting air quality in the planetary boundary layer. Likewise, their indirect effects impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is of crucial importance to assess aerosol spatial and temporal variability to reduce the uncertainty in forecasting future scenarios by the climatological models. In this study we developed an image based robust methodology that permits to retrieve the atmospheric path radiance and then the Aerosol Optical Depth (AOD) using satellite high-resolution spatial images paired with the Fu-Liou-Gu radiative transfer model. We applied our methodology to study aerosol variability in the PO valley (Northern Italy), one of the most polluted region in Europe.",

keywords = "Aerosol optical depth, Aerosols, Air quality, Atmospheric path-radiance, Change analysis, Fu-Liou-Gu, Google earth engine, Image fusion, Po Valley, Radiative transfer model",

author = "Simone Lolli and Luciano Alparone and Muhammad Bilal and Andrea Garzelli and Gemine Vivone",

note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Remote Sensing of Clouds and the Atmosphere XXIII 2018 ; Conference date: 12-09-2018 Through 13-09-2018",

year = "2018",

doi = "10.1117/12.2325853",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Adolfo Comeron and Kassianov, \{Evgueni I.\} and Picard, \{Richard H.\} and Klaus Schafer and Konradin Weber",

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}

Lolli, S, Alparone, L, Bilal, M, Garzelli, A & Vivone, G 2018, High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy. in A Comeron, EI Kassianov, RH Picard, K Schafer & K Weber (eds), Remote Sensing of Clouds and the Atmosphere XXIII., 1078606, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10786, SPIE, Remote Sensing of Clouds and the Atmosphere XXIII 2018, Berlin, Germany, 12/09/18. https://doi.org/10.1117/12.2325853

High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy. / Lolli, Simone; Alparone, Luciano; Bilal, Muhammad et al.
Remote Sensing of Clouds and the Atmosphere XXIII. ed. / Adolfo Comeron; Evgueni I. Kassianov; Richard H. Picard; Klaus Schafer; Konradin Weber. SPIE, 2018. 1078606 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10786).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy

AU - Lolli, Simone

AU - Alparone, Luciano

AU - Bilal, Muhammad

AU - Garzelli, Andrea

AU - Vivone, Gemine

PY - 2018

Y1 - 2018

N2 - Natural and anthropogenic aerosol emissions play a fundamental role both in directly modulating the incoming solar radiation and affecting air quality in the planetary boundary layer. Likewise, their indirect effects impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is of crucial importance to assess aerosol spatial and temporal variability to reduce the uncertainty in forecasting future scenarios by the climatological models. In this study we developed an image based robust methodology that permits to retrieve the atmospheric path radiance and then the Aerosol Optical Depth (AOD) using satellite high-resolution spatial images paired with the Fu-Liou-Gu radiative transfer model. We applied our methodology to study aerosol variability in the PO valley (Northern Italy), one of the most polluted region in Europe.

AB - Natural and anthropogenic aerosol emissions play a fundamental role both in directly modulating the incoming solar radiation and affecting air quality in the planetary boundary layer. Likewise, their indirect effects impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is of crucial importance to assess aerosol spatial and temporal variability to reduce the uncertainty in forecasting future scenarios by the climatological models. In this study we developed an image based robust methodology that permits to retrieve the atmospheric path radiance and then the Aerosol Optical Depth (AOD) using satellite high-resolution spatial images paired with the Fu-Liou-Gu radiative transfer model. We applied our methodology to study aerosol variability in the PO valley (Northern Italy), one of the most polluted region in Europe.

KW - Aerosol optical depth

KW - Aerosols

KW - Air quality

KW - Atmospheric path-radiance

KW - Change analysis

KW - Fu-Liou-Gu

KW - Google earth engine

KW - Image fusion

KW - Po Valley

KW - Radiative transfer model

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M3 - Conference contribution

AN - SCOPUS:85058407877

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing of Clouds and the Atmosphere XXIII

A2 - Comeron, Adolfo

A2 - Kassianov, Evgueni I.

A2 - Picard, Richard H.

A2 - Schafer, Klaus

A2 - Weber, Konradin

PB - SPIE

T2 - Remote Sensing of Clouds and the Atmosphere XXIII 2018

Y2 - 12 September 2018 through 13 September 2018

ER -

Lolli S, Alparone L, Bilal M, Garzelli A, Vivone G. High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy. In Comeron A, Kassianov EI, Picard RH, Schafer K, Weber K, editors, Remote Sensing of Clouds and the Atmosphere XXIII. SPIE. 2018. 1078606. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2325853

High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this