For realizing sustainable development of the cities, it is necessary to estimate of the flow of material cycles in society. Since a few countries have sufficient data to support stock analysis, a more flexible method with high adaptability is required for material stock and flow analysis in global scale. In this research, as a pioneer step, the correlation between PALSAR data and area of building has been estimated for Aichi Prefecture. Summing the size of aggregation larger than satellite resolution can reduce the noises that were induced by surrounding pixels. It was observed that a strong correlation can be estimated by omitting the forest area with the aid of using land use/land cover data.