IGSNRR OpenIR
Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data
Jia, Yuanxin1,2; Ge, Yong1; Ling, Feng3; Guo, Xian1; Wang, Jianghao1; Wang, Le4; Chen, Yuehong5; Li, Xiaodong3
2018-03-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:3Pages:21
Corresponding AuthorGe, Yong(gey@lreis.ac.cn)
AbstractLand 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.
Keywordland use mapping remote sensing imagery mobile phone positioning data decision fusion
DOI10.3390/rs10030446
WOS KeywordCOVER CLASSIFICATION ; CELLULAR-AUTOMATA ; SENSED DATA ; AREAS ; MODEL ; EXTRACTION ; TEXTURE ; METRICS ; FUSION ; GROWTH
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation for Distinguished Young Scholars of China ; National Science Foundation of China ; Key Programs of the National Science Foundation of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000428280100092
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54963
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGe, Yong
Affiliation1.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
Recommended Citation
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.
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