GIG OpenIR  > 中科院广州地化所(2009-)  > 期刊论文
Xu, Jianhui1,2,3; Zhao, Yi1,4,5; Zhong, Kaiwen1,2,3; Zhang, Feifei6; Liu, Xulong1,2,3; Sun, Caige1,2,3
Measuring spatio-temporal dynamics of impervious surface in Guangzhou, China, from 1988 to 2015, using time-series Landsat imagery
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
Corresponding AuthorZhong, Kaiwen(zkw@gdas.ac.cn)
ISSN0048-9697
2018-06-15
Volume627Pages:264-281
DOI10.1016/j.scitotenv.2018.01.155
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS IDWOS:000431848500027
Funding OrganizationGDAS' Special Project of Science and Technology Development ; Guangdong Innovative and Entrepreneurial Research Team Program ; Guangdong Academy of Sciences ; Science and Technology Planning Project of Guangdong Province
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.gig.ac.cn/handle/344008/36781
Collection中科院广州地化所(2009-)_期刊论文
Corresponding AuthorZhong, Kaiwen
Affiliation1.Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China
2.Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Guangdong, Peoples R China
3.Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Guangdong, Peoples R China
4.Guangzhou Inst Geochem, Guangzhou 510640, Guangdong, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Guangdong Univ Educ, Dept Comp Sci, Guangzhou 510310, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Xu, Jianhui,Zhao, Yi,Zhong, Kaiwen,et al. Measuring spatio-temporal dynamics of impervious surface in Guangzhou, China, from 1988 to 2015, using time-series Landsat imagery[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,627:264-281.
APA Xu, Jianhui,Zhao, Yi,Zhong, Kaiwen,Zhang, Feifei,Liu, Xulong,&Sun, Caige.(2018).Measuring spatio-temporal dynamics of impervious surface in Guangzhou, China, from 1988 to 2015, using time-series Landsat imagery.SCIENCE OF THE TOTAL ENVIRONMENT,627,264-281.
MLA Xu, Jianhui,et al."Measuring spatio-temporal dynamics of impervious surface in Guangzhou, China, from 1988 to 2015, using time-series Landsat imagery".SCIENCE OF THE TOTAL ENVIRONMENT 627(2018):264-281.
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