Clouds affect Earth's energy balance, with high-altitude cirrus clouds contributing to atmospheric warming. While active satellite sensors are the most accurate for detecting cirrus clouds, they are not ideal for long-term studies. This study compares Moderate Resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data, testing six MODIS methods, one MODIS-based test, and two International Satellite Cloud Climatology Project (ISCCP) tests. The all tests consolidation (ATC) was the most effective, achieving 72.98 % accuracy during daytime and 59.50 % at night, making it relatively accurate for creating a cirrus mask.