OPTIMUM SPATIAL RESOLUTION OF MSS DATA FOR LAND COVER CLASSIFICATION IN RESIDENTIAL AREA

Abstract

In this research we assign the components of urban residential areas in detail to the land cover categories. The percentage of mixels and the variance of individual classes are documented as a function of spatial resolution of remotely sensed data. We assess the effect of these factors on the ability to classify the types of land cover material using a pixelwise maximum likelihood method, in order to clarify the optimum spatial resolution for land cover classification in residential area.