The method of urban fringe recognition based on nighttime light data
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,in-troduces wavelet analysis method to detect the mutation points of the urbanization characteristic.It analy-zes 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 ur-ban 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 reliabili-ty 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.
urban fringenighttime light datamutation detectiondouble spatial clusteringrecognition and extraction
万方数据
维普
