A methodology for cloud masking uncalibrated lidar signals

Most lidar processing algorithms, such as those included in EARLINET’s Single Calculus Chain, can be applied only to cloud-free atmospheric scenes. In this paper, we present a methodology for masking clouds in uncalibrated lidar signals. First, we construct a reference dataset based on manual inspec...

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Bibliographic Details
Published inEPJ Web of Conferences Vol. 176; p. 5048
Main Authors Binietoglou, Ioannis, D’Amico, Giuseppe, Baars, Holger, Belegante, Livio, Marinou, Eleni
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2018
Subjects
Clouds
Inspection
Lidar
Masking
Masks
Signal processing
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Summary:Most lidar processing algorithms, such as those included in EARLINET’s Single Calculus Chain, can be applied only to cloud-free atmospheric scenes. In this paper, we present a methodology for masking clouds in uncalibrated lidar signals. First, we construct a reference dataset based on manual inspection and then train a classifier to separate clouds and cloud-free regions. Here we present details of this approach together with an example cloud masks from an EARLINET station.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/201817605048