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Quantifying annual changes in built-up area in complex urban-rural landscapes from analyses of PALSAR and Landsat images
Qin, Yuanwei1; Xiao, Xiangming1,2; Dong, Jinwei1; Chen, Bangqian2,3; Liu, Fang4; Zhang, Geli1; Zhang, Yao1; Wang, Jie1; Wu, Xiaocui1
2017-02-01
Source PublicationISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
Volume124Pages:89-105
Corresponding AuthorXiao, Xiangming(xiangming.xiao@ou.edu)
AbstractBuilt-up area supports human settlements and activities, and its spatial distribution and temporal dynamics have significant impacts on ecosystem services and global environment change. To date, most of urban remote sensing has generated the maps of impervious surfaces, and limited effort has been made to explicitly identify the area, location and density of built-up in the complex and fragmented landscapes based on the freely available datasets. In this study, we took the lower Yangtze River Delta (Landsat Path/ Row: 118/038), China, where extensive urbanization and industrialization have occurred, as a case study site. We analyzed the structure and optical features of typical land cover types from (1) the HH and HV gamma-naught imagery from the Advanced Land Observation Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR), and (2) time series Landsat imagery. We proposed a pixel- and rule-based decision tree approach to identify and map built-up area at 30-m resolution from 2007 to 2010, using PALSAR HH gamma-naught and Landsat annual maximum Normalized Difference Vegetation Index (NDVl(max))(.) The accuracy assessment showed that the resultant annual maps of built-up had rela-tively high user (87-93%) and producer accuracies (91-95%) from 2007 to 2010. The built-up area was 2805 km(2) in 2010, about 16% of the total land area of the study site. The annual maps of built-up in 2007-2010 show relatively small changes in the urban core regions, but large outward expansion along the peri-urban regions. The average annual increase of built-up area& was about 80 km2 per year from 2007 to 2010. Our annual maps of built-up in the lower Yangtze River Delta clearly complement the existing maps of impervious surfaces in the region. This study provides a promising new approach to identify and map built-up area, which is critical to investigate the interactions between human activities and ecosystem services in urban-rural systems. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
KeywordBuilt-up Impervious surface Urban-rural area Landsat PALSAR Shanghai
DOI10.1016/j.isprsjprs.2016.12.011
WOS KeywordIMAGING SPECTRORADIOMETER DATA ; MULTITEMPORAL MODIS IMAGES ; PADDY RICE AGRICULTURE ; POLARIMETRIC SAR DATA ; NIGHTTIME LIGHT DATA ; IMPERVIOUS SURFACE ; SPATIAL-RESOLUTION ; TIME-SERIES ; VEGETATION INDEXES ; URBANIZATION DYNAMICS
Indexed BySCI
Language英语
Funding ProjectNational Aeronautics and Space Administration (NASA) Land Cover and Land Use Change program[NNX11AJ35G] ; National Aeronautics and Space Administration (NASA) Land Cover and Land Use Change program[NNX14AD78G] ; National Science Foundation (NSF) EPSCoR program[OIA-1301789] ; National Institutes of Health (NIH)[1R01AI101028-01A1]
Funding OrganizationNational Aeronautics and Space Administration (NASA) Land Cover and Land Use Change program ; National Science Foundation (NSF) EPSCoR program ; National Institutes of Health (NIH)
WOS Research AreaPhysical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000394082400007
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64716
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXiao, Xiangming
Affiliation1.Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK 73019 USA
2.Fudan Univ, Inst Biodivers Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Shanghai 200433, Peoples R China
3.Minist Agr, Chinese Acad Trop Agr Sci, Danzhou Invest & Expt Stn Trop Cops, RRI,Danzhou City CATAS, Hainan 571737, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Qin, Yuanwei,Xiao, Xiangming,Dong, Jinwei,et al. Quantifying annual changes in built-up area in complex urban-rural landscapes from analyses of PALSAR and Landsat images[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2017,124:89-105.
APA Qin, Yuanwei.,Xiao, Xiangming.,Dong, Jinwei.,Chen, Bangqian.,Liu, Fang.,...&Wu, Xiaocui.(2017).Quantifying annual changes in built-up area in complex urban-rural landscapes from analyses of PALSAR and Landsat images.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,124,89-105.
MLA Qin, Yuanwei,et al."Quantifying annual changes in built-up area in complex urban-rural landscapes from analyses of PALSAR and Landsat images".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 124(2017):89-105.
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