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Density slicing is a digital data interpretation method used in analysis of remotely sensed imagery to enhance the information gathered from an individual brightness band. Density slicing is done by dividing the range of brightnesses in a single band into intervals, then assigning each interval to a colour. . For example, in a black-and-white thermal image the temperature values in the image can be split into bands of 2°C, and each band represented by a colour of the spectrum. Therefore the temperature information in the image can be analysed more easily because the differences between the colours are greater than the black and white and therefore it is easier to analyse the data contained in the image.
Density slicing is sometimes referred to as "double threshold".
- J. B. Campbell, "Introduction to Remote Sensing", 3rd ed., Taylor & Francis, p. 153