Quantifying highly dynamic urban landscapes: Integrating object-based image analysis with Landsat time series data

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Quantifying highly dynamic urban landscapes: Integrating object-based image analysis with Landsat time series data
	Yu, Wenjuan; Zhou, Weiqi; Jing, Chuanbao; Zhang, Yujia; Qian, Yuguo
刊名	LANDSCAPE ECOLOGY
	2020-07
卷号	36 期号:7 页码:1845-1861
关键词	Spatial heterogeneity Land cover change Remote sensing Change detection Frequency Time of change
ISSN号	0921-2973
英文摘要	Context Urban landscapes are highly dynamic with changes frequently occurring at short time intervals. Although the Landsat data archive allows the use of high-density time-series data to quantify such dynamics, the approaches that can fully address the spatial and temporal complexity of the urban landscape are still lacking. Objectives A new approach is presented for accurately quantifying urban landscape dynamics. Information regarding when and where a change occurs, what type of change exists, and how often it happens are incorporated. Methods The new approach integrates object-based image analysis and time-series change detection techniques by using all available Landsat images for several decades. This approach was tested on the rapidly urbanizing city of Shenzhen, China from 1986 to 2017. Results Land cover changes in both long- and short-time intervals can be proficiently detected with an overall accuracy of 90.65% and a user's accuracy of 92.18% and 82.40% for No change and Change, respectively. The frequency and time of change can be explicitly displayed while incorporating the advantages of object-based image analysis and time-series change detection. The efficiency of the change analysis can be greatly increased because the object-based analysis greatly reduces the number of analyzed units. Conclusion The new approach can accurately and efficiently detect the land cover change for quantifying urban landscape dynamics. Integrating the object and the remotely sensed time-series data has the potential to link the physical and socio-economic properties together for facilitating sustainable landscape planning.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/44414]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	Yu, Wenjuan,Zhou, Weiqi,Jing, Chuanbao,et al. Quantifying highly dynamic urban landscapes: Integrating object-based image analysis with Landsat time series data[J]. LANDSCAPE ECOLOGY,2020,36(7):1845-1861.
APA	Yu, Wenjuan,Zhou, Weiqi,Jing, Chuanbao,Zhang, Yujia,&Qian, Yuguo.(2020).Quantifying highly dynamic urban landscapes: Integrating object-based image analysis with Landsat time series data.LANDSCAPE ECOLOGY,36(7),1845-1861.
MLA	Yu, Wenjuan,et al."Quantifying highly dynamic urban landscapes: Integrating object-based image analysis with Landsat time series data".LANDSCAPE ECOLOGY 36.7(2020):1845-1861.