A methodology for cloud masking uncalibrated lidar signals
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Date
2018
Volume
176
Issue
Journal
EPJ Web of Conferences
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Book Title
Publisher
Les Ulis : EDP Sciences
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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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Citation
Binietoglou, I., D’Amico, G., Baars, H., Belegante, L., & Marinou, E. (2018). A Methodology for Cloud Masking Uncalibrated Lidar Signals (Les Ulis : EDP Sciences; D. Nicolae, A. Makoto, A. Vassilis, D. Balis, A. Behrendt, A. Comeron, et al., Eds.) [D. Nicolae, A. Makoto, A. Vassilis, D. Balis, A. Behrendt, A. Comeron, et al., Eds.]. Les Ulis : EDP Sciences. https://doi.org//10.1051/epjconf/201817605048
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CC BY 4.0 Unported