Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters

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

doi:10.1117/12.2574277

Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters

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

^*Corresponding author for this work

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

1 Scopus citations

Abstract

Natural and anthropogenic aerosol atmospheric emissions play a fundamental role in directly modulating the incoming solar radiation and affecting the air quality. Likewise, aerosols indirectly impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is crucial to assess aerosol spatial and temporal variability to reduce the associated uncertainty of global climate models in correctly forecasting future scenarios and it will enable application of mitigation strategies. In this manuscript, for the first time, we developed a simple aerosol optical depth (AOD) retrieval algorithm in the blue wavelength range that does not use either look-up-tables or radiative transfer models.

Original language	English
Title of host publication	Remote Sensing of Clouds and the Atmosphere XXV
Editors	Adolfo Comeron, Evgueni I. Kassianov, Klaus Schafer, Richard H. Picard, Konradin Weber, Upendra N. Singh
Publisher	SPIE
ISBN (Electronic)	9781510638754
DOIs	https://doi.org/10.1117/12.2574277
State	Published - 2020
Externally published	Yes
Event	Remote Sensing of Clouds and the Atmosphere XXV 2020 - Virtual, Online, United Kingdom Duration: 21 Sep 2020 → 25 Sep 2020

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11531
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing of Clouds and the Atmosphere XXV 2020
Country/Territory	United Kingdom
City	Virtual, Online
Period	21/09/20 → 25/09/20

Bibliographical note

Publisher Copyright:
© 2020 SPIE.

Keywords

Aerosol
Aerosol optical depth
Dark object
Kalman filter
Satellite

ASJC Scopus subject areas

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

Access to Document

10.1117/12.2574277

Cite this

Lolli, S., Vivone, G., Arienzo, A., Garzelli, A., Alparone, L., & Bilal, M. (2020). Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters. In A. Comeron, E. I. Kassianov, K. Schafer, R. H. Picard, K. Weber, & U. N. Singh (Eds.), Remote Sensing of Clouds and the Atmosphere XXV Article 115310W (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11531). SPIE. https://doi.org/10.1117/12.2574277

Lolli, Simone ; Vivone, Gemine ; Arienzo, Alberto et al. / Head : A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters. Remote Sensing of Clouds and the Atmosphere XXV. editor / Adolfo Comeron ; Evgueni I. Kassianov ; Klaus Schafer ; Richard H. Picard ; Konradin Weber ; Upendra N. Singh. SPIE, 2020. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{1dc5f86c35e64b86aa10052c52c4a003,

title = "Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters",

abstract = "Natural and anthropogenic aerosol atmospheric emissions play a fundamental role in directly modulating the incoming solar radiation and affecting the air quality. Likewise, aerosols indirectly impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is crucial to assess aerosol spatial and temporal variability to reduce the associated uncertainty of global climate models in correctly forecasting future scenarios and it will enable application of mitigation strategies. In this manuscript, for the first time, we developed a simple aerosol optical depth (AOD) retrieval algorithm in the blue wavelength range that does not use either look-up-tables or radiative transfer models.",

keywords = "Aerosol, Aerosol optical depth, Dark object, Kalman filter, Satellite",

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

note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; Remote Sensing of Clouds and the Atmosphere XXV 2020 ; Conference date: 21-09-2020 Through 25-09-2020",

year = "2020",

doi = "10.1117/12.2574277",

language = "English",

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

publisher = "SPIE",

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

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Lolli, S, Vivone, G, Arienzo, A, Garzelli, A, Alparone, L & Bilal, M 2020, Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters. in A Comeron, EI Kassianov, K Schafer, RH Picard, K Weber & UN Singh (eds), Remote Sensing of Clouds and the Atmosphere XXV., 115310W, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11531, SPIE, Remote Sensing of Clouds and the Atmosphere XXV 2020, Virtual, Online, United Kingdom, 21/09/20. https://doi.org/10.1117/12.2574277

Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters. / Lolli, Simone; Vivone, Gemine; Arienzo, Alberto et al.
Remote Sensing of Clouds and the Atmosphere XXV. ed. / Adolfo Comeron; Evgueni I. Kassianov; Klaus Schafer; Richard H. Picard; Konradin Weber; Upendra N. Singh. SPIE, 2020. 115310W (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11531).

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

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AU - Lolli, Simone

AU - Vivone, Gemine

AU - Arienzo, Alberto

AU - Garzelli, Andrea

AU - Alparone, Luciano

AU - Bilal, Muhammad

PY - 2020

Y1 - 2020

N2 - Natural and anthropogenic aerosol atmospheric emissions play a fundamental role in directly modulating the incoming solar radiation and affecting the air quality. Likewise, aerosols indirectly impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is crucial to assess aerosol spatial and temporal variability to reduce the associated uncertainty of global climate models in correctly forecasting future scenarios and it will enable application of mitigation strategies. In this manuscript, for the first time, we developed a simple aerosol optical depth (AOD) retrieval algorithm in the blue wavelength range that does not use either look-up-tables or radiative transfer models.

AB - Natural and anthropogenic aerosol atmospheric emissions play a fundamental role in directly modulating the incoming solar radiation and affecting the air quality. Likewise, aerosols indirectly impact cloud lifetime, atmospheric column thermodynamics and precipitation patterns. For this reason, it is crucial to assess aerosol spatial and temporal variability to reduce the associated uncertainty of global climate models in correctly forecasting future scenarios and it will enable application of mitigation strategies. In this manuscript, for the first time, we developed a simple aerosol optical depth (AOD) retrieval algorithm in the blue wavelength range that does not use either look-up-tables or radiative transfer models.

KW - Aerosol

KW - Aerosol optical depth

KW - Dark object

KW - Kalman filter

KW - Satellite

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BT - Remote Sensing of Clouds and the Atmosphere XXV

A2 - Comeron, Adolfo

A2 - Kassianov, Evgueni I.

A2 - Schafer, Klaus

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A2 - Weber, Konradin

A2 - Singh, Upendra N.

PB - SPIE

Y2 - 21 September 2020 through 25 September 2020

ER -

Lolli S, Vivone G, Arienzo A, Garzelli A, Alparone L, Bilal M. Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters. In Comeron A, Kassianov EI, Schafer K, Picard RH, Weber K, Singh UN, editors, Remote Sensing of Clouds and the Atmosphere XXV. SPIE. 2020. 115310W. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2574277

Head: A robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this