- Much work has been performed on defining metrics for evaluating clutter in infrared imagery. The metrics on specific images with targets present has been fairly successful at predicting target acquisition performance for human observers. To be most useful, it would be advisable to have generalized metrics, which don't depend on having the infrared images available or the exact position of the target known. Ideally, one would like to designate the geographical area and the type of target and still be able to estimate the effect of the clutter. In this work, we consider such a possibility. Based on satellite imagery, we calculate the physical characteristics, e.g. the plant coverage, for certain geographical areas. We then relate these characteristics to the infrared metrics that have been calculated for certain selected spots. From these results, we can generalize the relationship between the satellite data and the infrared clutter and determine the clutter content for areas for which full infrared imagery does not exist. Examples will be brought from several areas in Israel with contrasting climate and foliage.