Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data

doi:10.3390/rs10030446

	Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data
	Jia, Yuanxin 1,2; Ge, Yong 1; Ling, Feng 3; Guo, Xian 1; Wang, Jianghao 1; Wang, Le 4; Chen, Yuehong 5; Li, Xiaodong 3
刊名	REMOTE SENSING
	2018-03-01
卷号	10 期号:3 页码:21
关键词	land use mapping remote sensing imagery mobile phone positioning data decision fusion
ISSN号	2072-4292
DOI	10.3390/rs10030446
通讯作者	Ge, Yong(gey@lreis.ac.cn)
英文摘要	Land use is of great importance for urban planning, environmental monitoring, and transportation management. Several methods have been proposed to obtain land use maps of urban areas, and these can be classified into two categories: remote sensing methods and social sensing methods. However, remote sensing and social sensing approaches have specific disadvantages regarding the description of social and physical features, respectively. Therefore, an appropriate fusion strategy is vital for large-area land use mapping. To address this issue, we propose an efficient land use mapping method that combines remote sensing imagery (RSI) and mobile phone positioning data (MPPD) for large areas. We implemented this method in two steps. First, a support vector machine was adopted to classify the RSI and MPPD. Then, the two classification results were fused using a decision fusion strategy to generate the land use map. The proposed method was applied to a case study of the central area of Beijing. The experimental results show that the proposed method improved classification accuracy compared with that achieved using MPPD alone, validating the efficacy of this new approach for identifying land use. Based on the land use map and MPPD data, activity density in key zones during daytime and nighttime was analyzed to illustrate the volume and variation of people working and living across different regions.
资助项目	National Natural Science Foundation for Distinguished Young Scholars of China[41725006] ; National Science Foundation of China[41421001] ; Key Programs of the National Science Foundation of China[41531174]
WOS关键词	COVER CLASSIFICATION ; CELLULAR-AUTOMATA ; SENSED DATA ; AREAS ; MODEL ; EXTRACTION ; TEXTURE ; METRICS ; FUSION ; GROWTH
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000428280100092
资助机构	National Natural Science Foundation for Distinguished Young Scholars of China ; National Science Foundation of China ; Key Programs of the National Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54962]
专题	中国科学院地理科学与资源研究所
通讯作者	Ge, Yong
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430077, Hubei, Peoples R China 4.SUNY Buffalo, Dept Geog, Buffalo, NY 14261 USA 5.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Jia, Yuanxin,Ge, Yong,Ling, Feng,et al. Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data[J]. REMOTE SENSING,2018,10(3):21.
APA	Jia, Yuanxin.,Ge, Yong.,Ling, Feng.,Guo, Xian.,Wang, Jianghao.,...&Li, Xiaodong.(2018).Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data.REMOTE SENSING,10(3),21.
MLA	Jia, Yuanxin,et al."Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data".REMOTE SENSING 10.3(2018):21.