2020
DOI: 10.3390/rs12071172
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Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements

Abstract: Two tailored 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 … Show more

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“…In contrast, ground-based lidars have a high temporal resolution that can provide continuous data with long-term fixed-point observations of the vertical distribution characteristics of dust transportation (Guo et al, 2017;Liu et al, 2019). Many ground-based lidar networks were built in different regions in the world (Baars et al, 2019;Falconieri et al, 2020;Granados-Munoz et al, 2016;Osborne et al, 2019;Papagiannopoulos et al, 2020) (e.g., EARLINET, LALINET, MPLNET, and UK lidar network), which provide convenient tracking and observation long-distance dust aerosols. China's ground-based lidar observation network is being established (Jun et al, 2002;Qin et al, 2016;Yang et al, 2019;Zhang et al, 2019;Zhou et al, 2018).…”
mentioning
confidence: 99%
“…In contrast, ground-based lidars have a high temporal resolution that can provide continuous data with long-term fixed-point observations of the vertical distribution characteristics of dust transportation (Guo et al, 2017;Liu et al, 2019). Many ground-based lidar networks were built in different regions in the world (Baars et al, 2019;Falconieri et al, 2020;Granados-Munoz et al, 2016;Osborne et al, 2019;Papagiannopoulos et al, 2020) (e.g., EARLINET, LALINET, MPLNET, and UK lidar network), which provide convenient tracking and observation long-distance dust aerosols. China's ground-based lidar observation network is being established (Jun et al, 2002;Qin et al, 2016;Yang et al, 2019;Zhang et al, 2019;Zhou et al, 2018).…”
mentioning
confidence: 99%