The invention relates to a method and a
system for estimating
population density in urban built-up areas coordinated by spatial
big data. The method comprises the following steps: obtaining a buildingrange based on an object-oriented classification method by utilizing high-resolution optical
remote sensing data; dividing urban blocks through a spatial topology
algorithm by utilizing spatial
big data of an urban fine road network, and dividing the urban blocks into residential areas and non-residential areas by combination with spatial
big data of points of interest; obtaining building heightby utilizing
remote sensing optical three-dimensional
imaging data; constructing a
population density
estimation model by utilizing a multiple
regression analysis method according to the building height and the building range and by combination with
population statistical data; and inputting the building range and the building height as input variables into the
population density estimation model,performing calculation to obtain
population density, and then, assigning the
population density to
regular grid space corresponding to urban built-up areas by utilizing a spatial statistical analysismethod. The method and the
system can precisely and accurately realize
estimation of the population density in the built-up urban areas, are more suitable for requirements of
urban planning, disasterprevention and reduction and business decision for fine
population data, and are beneficial to further popularization and application.