Urban poverty area identification using high resolution satellite imagery: A preliminary correlation study

The study of urban poverty using high resolution satellite imagery and environmental data set has been widely used in many countries since early year 2000 to estimate, detect and identify the poor areas. By using remote sensing approach the identification of poor area can be pre-predicted without intensively to go to the ground. Due to high life expenses at urban area in Malaysia recently, the investigation of urban poverty in dense areas becomes much important especially in identifying the squatter and low cost houses which are expected to be settlement for people who are at low level income. This paper is going to discuss approaches being used in our pilot study to determine urban poverty areas which identified by correlation studies on high resolution IKONOS satellite imagery. The expected end result will be verified through multiple analyses via Remote Sensing and statistical approach.