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Geo-spatial data on village locations, their size, population and other parameters is scarcely available to decision makers in many developing countries. In this paper, we demonstrate an automatic "crawler" which can segment nucleated villages from satellite imagery freely available in public domain geographic information systems such as Google Earth TM . Our approach is to use frequency and color features to generate a number of weak classifiers, which are then combined through Adaboost todoi:10.5244/c.23.83 dblp:conf/bmvc/MurtazaKR09 fatcat:eiwlkwma2vfvzi3qxnczrhl4tm