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《Remote Sensing Technology and Application》 2017-06
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IBI and CA Model based Extraction of Urban Built-up Area and Its Application:A Case Study in Shanghai

Wang Shuai;Xu Hanqiu;Tang Fei;College of Environment and Resources;Institute of Remote Sensing Information Engineering;Fuzhou University;Island Research Center,State Oceanic Administration;  
At present,the automatic extraction of urban built-up area is still a problem.Taking Shanghai city as an example,this research uses the binary image,which was derived from an IBI(index-based built-up index)image,as the geographical cellular automaton initial input data.This was then imported to the extended cellular automata model for further processing.After a series of processing such as thresholding,corrosion and connectivity test,the urban built-up area was simulated and can be extracted.Based on this method,the urban built-up area of Shanghai in five different years between 1987 and 2015 was extracted using multi-temporal Landsat images of Shanghai.In addition,the urban growth intensity index,the concentric buffers analysis and radar chart analysis were calculated and used to analysis spatiotemporal pattern of Shanghai urban expansion in the 28 study years.The result shows that the built-up area of Shanghai was expanded from 195 km~2 in 1987 to 1759 km2 in 2015,which is eight times as large as that in 1987.In the period between 1987 and 2002,the urban built-up area expanded mainly along the North-South axis of the Huangpu River.However,after 2002 the expansion rate was increased more quickly,and the direction of the expansion was shifted to an east to west direction.Generally speaking,Shanghai has experienced a rapid urban expansion in the recent three decades.
【Fund】: 国家自然科学基金项目“星—地协同多源遥感数据不透水面辨识机理与反演模型研究”(41501469)
【CateGory Index】: F299.27;TP391.41
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