DAG-CLD: cloud detection for DAG

Mohammad Shameoni Niaei; Cahit Yeşilyaprak; Gülşah Tümüklü Özyer

doi:10.1117/12.2562346

13 December 2020 DAG-CLD: cloud detection for DAG

Mohammad Shameoni Niaei, Cahit Yeşilyaprak, Gülşah Tümüklü Özyer

Proceedings Volume 11452, Software and Cyberinfrastructure for Astronomy VI; 114523J (2020) https://doi.org/10.1117/12.2562346
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Conference Poster

Abstract

We present a software package utilizing machine learning methods to detect cloud coverage based on All Sky Camera images. The code will use different methods for nighttime and daytime cloud detection and with machine learning the accuracy of the results is improved. This piece of software will be one of the methods to be used in the Eastern Anatolia Observatory(DAG)'s 4m class telescope. For this purpose, we used Python3 and other related modules.

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Mohammad Shameoni Niaei, Cahit Yeşilyaprak, and Gülşah Tümüklü Özyer "DAG-CLD: cloud detection for DAG", Proc. SPIE 11452, Software and Cyberinfrastructure for Astronomy VI, 114523J (13 December 2020); https://doi.org/10.1117/12.2562346

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