Urban population estimation with remote sensing based on classified density method

Population data is great significance for government departments to make policies. Census data is high accuracy but it cost more time and a lot of money. Apply remote sensing to population estimation is very effective and costs less. In this article, zoning land use density method which originated from built area. The method of land use density was used to establish the estimation model for population density estimation, which could calculate the population density of various types and then estimate the population of the study area. The computing work of this method is less and the mathematical model can avoid the influence of random sampling error.