气候变化领域集成服务门户(CCPortal): A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations

CCPortal

DOI	10.1016/j.rse.2021.112293
	A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations
	Jing C.; Zhou W.; Qian Y.; Yu W.; Zheng Z.
发表日期	2021
ISSN	00344257
卷号	255
英文摘要	High-frequency and complex transitions are two important characteristics of urban land cover changes (ULCCs). However, the change magnitude and duration of ULCCs have rarely been discussed in the context of high-frequency ULCCs. Moreover, previous models for quantifying high-frequency changes commonly required numerous clear-sky observations. Such requirement is difficult to be satisfied in widespread cloud-prone cities. Considering these characteristics of ULCCs and data availability, we developed a novel approach that can comprehensively quantify ULCCs with relatively limited data. The approach successfully integrated two commonly used approaches in change detection, namely temporal segmentation and trajectory classification. In addition, sparse clear-sky observations were used in the time series of fractional land cover (TSFLC). Specifically, we first conducted classifications for each year, and then extracted the TSFLC from each block. Second, we used temporal segmentation to segment the TSFLC based on the local change trend. Third, we classified the segments of time series by trajectory classification, and recorded the change information. The proposed approach can provide comprehensive details for ULCCs including the frequency of changes during the observation time, the transition, the change time, and the change magnitude for each change. The approach quantifies multiple changes with a slightly higher accuracy (93.33%) than that of previous approaches for only one change (91.00%). The categories/ transitions of ULCC were also quantified, with an accuracy of 81.67%. Moreover, the approach effectively monitored ULCCs in a cloud-prone city and successfully captured and analyzed two common transitions, block construction and urban renewal. The present approach offers a new perspective for providing complete and accurate ULCC information with scarce clear-sky observations. © 2021 Elsevier Inc.
英文关键词	Change Detection; Land Use/Land Cover; Shenzhen; Time Series; Urban Dynamics; Urban Landscape; Urban Renewal
语种	英语
scopus关键词	Time series; Block construction; Change detection; Complex transitions; Data availability; High frequency HF; Multiple changes; Temporal segmentations; Trajectory classification; Classification (of information); accuracy assessment; clear sky; integrated approach; land cover; land use change; Landsat; quantitative analysis; time series; urban area; urban renewal
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178953
作者单位	State Key laboratory of urban and regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Beijing Urban Ecosystem Research Station, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
推荐引用方式 GB/T 7714	Jing C.,Zhou W.,Qian Y.,et al. A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations[J],2021,255.
APA	Jing C.,Zhou W.,Qian Y.,Yu W.,&Zheng Z..(2021).A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations.Remote Sensing of Environment,255.
MLA	Jing C.,et al."A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations".Remote Sensing of Environment 255(2021).