Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements

Twotailored configurations of the Robust Satellite Technique (RST) multi-temporal approach, for airborne volcanic ash and desert dust detection, have been tested in the framework of the European Natural Airborne Disaster Information and Coordination System for Aviation (EUNADICS-AV) project. The two...

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Published in:Remote Sensing
Main Authors: Falconieri A., Papagiannopoulos N., Marchese F., Filizzola C., Trippetta S., Pergola N., Pappalardo G., Tramutoli V., Mona L.
Other Authors: Falconieri, A., Papagiannopoulos, N., Marchese, F., Filizzola, C., Trippetta, S., Pergola, N., Pappalardo, G., Tramutoli, V., Mona, L.
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/11563/144591
https://doi.org/10.3390/rs12071172
https://www.mdpi.com/2072-4292/12/7/1172
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author Falconieri A.
Papagiannopoulos N.
Marchese F.
Filizzola C.
Trippetta S.
Pergola N.
Pappalardo G.
Tramutoli V.
Mona L.
author2 Falconieri, A.
Papagiannopoulos, N.
Marchese, F.
Filizzola, C.
Trippetta, S.
Pergola, N.
Pappalardo, G.
Tramutoli, V.
Mona, L.
author_facet Falconieri A.
Papagiannopoulos N.
Marchese F.
Filizzola C.
Trippetta S.
Pergola N.
Pappalardo G.
Tramutoli V.
Mona L.
author_sort Falconieri A.
collection Unknown
container_issue 7
container_start_page 1172
container_title Remote Sensing
container_volume 12
description Twotailored configurations of the Robust Satellite Technique (RST) multi-temporal approach, for airborne volcanic ash and desert dust detection, have been tested in the framework of the European Natural Airborne Disaster Information and Coordination System for Aviation (EUNADICS-AV) project. The two algorithms, running on Spinning Enhanced Visible Infra-Red Imager (SEVIRI) data, were previously assessed over wide areas by comparison with independent satellite-based aerosol products. In this study, we present results of a first validation analysis of the above mentioned satellite-based ash/dust products using independent, ground-based observations coming from the European Aerosol Research Lidar Network (EARLINET). The aim is to assess the capabilities of RST-based ash/dust products in providing useful information even at local scale and to verify their applicability as a "trigger" to timely activate EARLINET measurements during airborne hazards. The intense Saharan dust event of May 18-23 2008-which affected both the Mediterranean Basin and Continental Europe-and the strong explosive eruptions of Eyjafjallajökull (Iceland) volcano of April-May 2010, were analyzed as test cases. Our results show that both RST-based algorithms were capable of providing reliable information about the investigated phenomena at specific sites of interest, successfully detecting airborne ash/dust in different geographic regions using both nighttime and daytime SEVIRI data. However, the validation analysis also demonstrates that ash/dust layers remain undetected by satellite in the presence of overlying meteorological clouds and when they are tenuous (i.e., with an integrated backscatter coefficient less than ~0.001 sr-1 and with aerosol backscatter coefficient less than ~1 × 10-6 m-1sr-1). This preliminary analysis confirms that the continuity of satellite-based observations can be used to timely "trigger" ground-based LIDAR measurements in case of airborne hazard events. Finally, this work confirms that advanced satellite-based ...
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volume:12
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spelling ftunivbasilicata:oai:iris.unibas.it:11563/144591 2025-06-15T14:30:55+00:00 Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements Falconieri A. Papagiannopoulos N. Marchese F. Filizzola C. Trippetta S. Pergola N. Pappalardo G. Tramutoli V. Mona L. Falconieri, A. Papagiannopoulos, N. Marchese, F. Filizzola, C. Trippetta, S. Pergola, N. Pappalardo, G. Tramutoli, V. Mona, L. 2020 http://hdl.handle.net/11563/144591 https://doi.org/10.3390/rs12071172 https://www.mdpi.com/2072-4292/12/7/1172 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000537709600122 volume:12 issue:7 firstpage:1172 numberofpages:19 journal:REMOTE SENSING http://hdl.handle.net/11563/144591 doi:10.3390/rs12071172 info:eu-repo/semantics/openAccess Ash cloud Dust outbreak EARLINET RST SEVIRI info:eu-repo/semantics/article 2020 ftunivbasilicata https://doi.org/10.3390/rs12071172 2025-05-27T03:38:53Z Twotailored configurations of the Robust Satellite Technique (RST) multi-temporal approach, for airborne volcanic ash and desert dust detection, have been tested in the framework of the European Natural Airborne Disaster Information and Coordination System for Aviation (EUNADICS-AV) project. The two algorithms, running on Spinning Enhanced Visible Infra-Red Imager (SEVIRI) data, were previously assessed over wide areas by comparison with independent satellite-based aerosol products. In this study, we present results of a first validation analysis of the above mentioned satellite-based ash/dust products using independent, ground-based observations coming from the European Aerosol Research Lidar Network (EARLINET). The aim is to assess the capabilities of RST-based ash/dust products in providing useful information even at local scale and to verify their applicability as a "trigger" to timely activate EARLINET measurements during airborne hazards. The intense Saharan dust event of May 18-23 2008-which affected both the Mediterranean Basin and Continental Europe-and the strong explosive eruptions of Eyjafjallajökull (Iceland) volcano of April-May 2010, were analyzed as test cases. Our results show that both RST-based algorithms were capable of providing reliable information about the investigated phenomena at specific sites of interest, successfully detecting airborne ash/dust in different geographic regions using both nighttime and daytime SEVIRI data. However, the validation analysis also demonstrates that ash/dust layers remain undetected by satellite in the presence of overlying meteorological clouds and when they are tenuous (i.e., with an integrated backscatter coefficient less than ~0.001 sr-1 and with aerosol backscatter coefficient less than ~1 × 10-6 m-1sr-1). This preliminary analysis confirms that the continuity of satellite-based observations can be used to timely "trigger" ground-based LIDAR measurements in case of airborne hazard events. Finally, this work confirms that advanced satellite-based ... Article in Journal/Newspaper Iceland Unknown Remote Sensing 12 7 1172
spellingShingle Ash cloud
Dust outbreak
EARLINET
RST
SEVIRI
Falconieri A.
Papagiannopoulos N.
Marchese F.
Filizzola C.
Trippetta S.
Pergola N.
Pappalardo G.
Tramutoli V.
Mona L.
Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements
title Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements
title_full Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements
title_fullStr Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements
title_full_unstemmed Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements
title_short Validation of ash/dust detections from SEVIRI data using ACTRIS/EARLINET ground-based LIDAR measurements
title_sort validation of ash/dust detections from seviri data using actris/earlinet ground-based lidar measurements
topic Ash cloud
Dust outbreak
EARLINET
RST
SEVIRI
topic_facet Ash cloud
Dust outbreak
EARLINET
RST
SEVIRI
url http://hdl.handle.net/11563/144591
https://doi.org/10.3390/rs12071172
https://www.mdpi.com/2072-4292/12/7/1172