DOI: 10.1016/j.jag.2016.09.006
Scopus记录号: 2-s2.0-85018194362
论文题名: Automated mapping of impervious surfaces in urban and suburban areas: Linear spectral unmixing of high spatial resolution imagery
作者: Yang J ; , He Y
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 54 起始页码: 53
结束页码: 64
语种: 英语
英文关键词: Greenspace
; High spatial resolution imagery
; Impervious surface
; Linear spectral unmixing
; Shadow
; Suburban
; Urban
Scopus关键词: greenspace
; imagery
; manmade structure
; mapping
; remote sensing
; spatial resolution
; suburban area
; urban area
; WorldView
; Canada
; Ontario [Canada]
; Toronto
英文摘要: Quantifying impervious surfaces in urban and suburban areas is a key step toward a sustainable urban planning and management strategy. With the availability of fine-scale remote sensing imagery, automated mapping of impervious surfaces has attracted growing attention. However, the vast majority of existing studies have selected pixel-based and object-based methods for impervious surface mapping, with few adopting sub-pixel analysis of high spatial resolution imagery. This research makes use of a vegetation-bright impervious-dark impervious linear spectral mixture model to characterize urban and suburban surface components. A WorldView-3 image acquired on May 9th, 2015 is analyzed for its potential in automated unmixing of meaningful surface materials for two urban subsets and one suburban subset in Toronto, ON, Canada. Given the wide distribution of shadows in urban areas, the linear spectral unmixing is implemented in non-shadowed and shadowed areas separately for the two urban subsets. The results indicate that the accuracy of impervious surface mapping in suburban areas reaches up to 86.99%, much higher than the accuracies in urban areas (80.03% and 79.67%). Despite its merits in mapping accuracy and automation, the application of our proposed vegetation-bright impervious-dark impervious model to map impervious surfaces is limited due to the absence of soil component. To further extend the operational transferability of our proposed method, especially for the areas where plenty of bare soils exist during urbanization or reclamation, it is still of great necessity to mask out bare soils by automated classification prior to the implementation of linear spectral unmixing. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79952
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography and Planning, University of Toronto, 100 St. George Street, Toronto, ON, Canada; Department of Geography, University of Toronto Mississauga, 3359 Mississauga Rd North, Mississauga, ON, Canada
Recommended Citation:
Yang J,, He Y. Automated mapping of impervious surfaces in urban and suburban areas: Linear spectral unmixing of high spatial resolution imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,54