A methodology for cloud masking uncalibrated lidar signals

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Date
2018
Authors
Binietoglou, Ioannis
D’Amico, Giuseppe
Baars, Holger
Belegante, Livio
Marinou, Eleni
Volume
176
Issue
Journal
EPJ Web of Conferences
Series Titel
Book Title
Publisher
Les Ulis : EDP Sciences
Abstract

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.

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License
CC BY 4.0 Unported