Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/amt-18-5637-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-5637-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Research article
 | 
21 Oct 2025
Research article |  | 21 Oct 2025

Cloud fraction estimation using random forest classifier on sky images

Sougat Kumar Sarangi, Chandan Sarangi, Niravkumar Patel, Bomidi Lakshmi Madhavan, Shantikumar Singh Ningombam, Belur Ravindra, and Madineni Venkat Ratnam

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Short summary
This study introduces a new approach to measure cloud cover from image data taken by ground-based sky observations. Our method used diverse sky images taken from various locations across the globe to train our machine learning model. We achieved a very high accuracy in detecting cloud cover, even in polluted areas. Our model surpasses traditional methods by running efficiently with minimal computational needs.
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