<![CDATA[Compression is an important part of management for remote sensing images. Various methods were developed to produce the best compression results. This paper proposes a hybrid method that combines the methods of PCA, DCT, DWT, and LZW to produce the smallest file size with the best PSNR value on Landsat-8 images. The stages carried out in this study include; determine random cloud-free datasets at maximum zoom, specify n_component using PCA, the compression process in bands 6, 5, and 2; comparison of compression techniques (time consumption - PSNR - file size), as well as visual inspection of compression results. The experimental results show that the file size of Landsat-8 image dataset using the hybrid method ranges from 22-55 kB with a processing time of less than 2 seconds using the python programming language. However, the PSNR value produced is still below the other methods with a range of 48-51%.]]>
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