| With the accelerating process of urbanization, city population gradually expand, land resources become increasingly scarce, and making the city construction in a limitated range. Using the traditional method to calculate the floor area ratio is more complex, and need to carry out field measurements, so great labour power and material resources consumpted, and the date update cycle is long, what’s more it doesn’t apply to large areas. At the same time, it is influenced by the bottom area and height of the buildings, so there are many limitations to the actual operations. With the continuous development of remote sensing technology, the appearance of high resolution images make the estimation of the floor area ratio become possible. Compared with the traditional measurement methods, remote sensing measurements have many advantages, such as timesaving, large coverage, strong feasibility, and save much labour power, make full use of remote sensing data.This paper based on the remote sensing data, according to different building types using different methods to estimate the floor area ratio. For multi-story and high-rise buildings, by extracting the shadows of buildings, combined with the actual survey data, analysis the relationship between survey area and buildings’ total shadow area, then establish a regression model to calculate the floor area ratio of the whole research area. For the cottage area, due to the height of the building is very low, it is difficult to extract the shadow area, so it is unable to estimate the floor area ratio according to the shadow area. So I intend to summarize a general rule from the actual survey data, and apply to the whole study area. By inspection, it is proof that estimating the floor area ratio using this method is fast and high-precision. And the calculation results can provide decision support services for city planning and city development, it also has a certain theoretical value. |
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