In these images, neighboring cells often have the same values since the soil, forest, or property areas often cover many contiguous cells. A number of other data compression programs are available for computers. These programs use different methods of compression, but nearly all depend on the principle that most files have lots of repetition. If values are repeated, they can be stored more compactly. In some images, however, data values are not repeated across adjacent cells very often.
Satellite images are a prime example.
There, each cell gives the brightness represented on the ground. These values are usually at least slightly different for adjacent cells. Hence satellite images are poor candidates for run-length encoding. Brazil4 is a satellite image, and you saw the results of using packed binary on this image above. Elevation data also give poor results in packing.