Abstract: Bases on the synthetical analyses of efficient and noiseless data compression methods of satellite image, a 2D-differential pulse code modulation (DPCM) predictor along with a reflex-type entropy encoder has been utilized to compress meteorological satellite image data for various gray scales noiselessly. Higher compression rate and faster execution speed obtained by the method have demonstrated its value to practice.