A methodology for cloud masking uncalibrated lidar signals
National Institute for R&D for Optoelectronics, Romania,
2 National Observatory of Athens, Greece
3 Consiglio Nazionale delle Ricerche - Istituto di Metodologie per l’Analisi Ambientale, Italy
4 Leibniz Institute for Tropospheric Research (TROPOS), Germany
Published online: 13 April 2018
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).