基于夜间灯光数据的城市边缘区识别方法

The method of urban fringe recognition based on nighttime light data

精确界定城市边缘区的空间范围对土地可持续利用、资源配置、城市规划具有重大意义。本文采用夜间灯光数据作为基础数据,引入小波分析法对城市化特征值进行突变检测,分析城市化特征值空间序列的形态特征,从而得到城市边缘区突变点群。本文分析现有城市边缘区边界提取方法的不足,基于突变理论和双重空间聚类的方法,实现城市边缘区空间范围提取,然后通过选取江阴市为实验样区,将提取结果与对比实验的结果进行叠加分析、景观多样性指数和夜间灯光起伏度的指数进行分析,验证了结果的正确性和本文方法的可靠性。

Precisely defining the spatial contents of urban fringe is of great significance to sustainable land use,resource allocation,and urban planning.This paper uses nighttime light data as the basic data,introduces wavelet analysis method to detect the mutation points of the urbanization characteristic.It analyzes the morphological characteristics based on the spatial sequence of the urbanization characteristic,and generates the mutation point cluster in the urban fringe.By analyzing the shortcomings of the existing urban fringe boundary extraction methods,it develops a new method of urban fringe extraction based on the catastrophe theory and the double spatial clustering method.It also verifies the accuracy and the reliability of the proposed method by taking Jiangyin City as the study area,and superimposing with the results of comparative experiments,as well as the analyzing of landscape diversity indices and nighttime light index fluctuation.