DOI: 10.1016/j.jag.2017.09.015
Scopus记录号: 2-s2.0-85036577332
论文题名: Monitoring the trajectory of urban nighttime light hotspots using a Gaussian volume model
作者: Zheng Q ; , Jiang R ; , Wang K ; , Huang L ; , Ye Z ; , Gan M ; , Ji B
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 65 起始页码: 24
结束页码: 34
语种: 英语
英文关键词: Gaussian volume model
; Global radiance calibrated DMSP-OLS
; Hotspot
; Nighttime light imagery
; Urbanization
Scopus关键词: Gaussian method
; human activity
; image classification
; image resolution
; light intensity
; nightglow
; satellite imagery
; spatial analysis
; urban area
; urbanization
英文摘要: Urban nighttime light hotspot is an ideal representation of the spatial heterogeneity of human activities within a city, which is sensitive to regional urban expansion pattern. However, most of previous studies related to nighttime light imageries focused on extracting urban extent, leaving the spatial variation of radiance intensity insufficiently explored. With the help of global radiance calibrated DMSP-OLS datasets (NTLgrc), we proposed an innovative framework to explore the spatio-temporal trajectory of polycentric urban nighttime light hotspots. Firstly, NTLgrc was inter-annually calibrated to improve the consistency. Secondly, multi-resolution segmentation and region-growing SVM classification were employed to remove blooming effect and to extract potential clusters. At last, the urban hotspots were identified by a Gaussian volume model, and the resulting parameters were used to quantitatively depict hotspot features (i.e., intensity, morphology and centroid dynamics). The result shows that our framework successfully captures hotspots in polycentric urban area, whose Ra 2 are over 0.9. Meanwhile, the spatio-temporal dynamics of the hotspot features intuitively reveal the impact of the regional urban growth pattern and planning strategies on human activities. Compared to previous studies, our framework is more robust and offers an effective way to describe hotspot pattern. Also, it provides a more comprehensive and spatial-explicit understanding regarding the interaction between urbanization pattern and human activities. Our findings are expected to be beneficial to governors in term of sustainable urban planning and decision making. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79902
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, China; Key Laboratory of Agricultural Remote Sensing and Information System of Zhejiang Province, Hangzhou, Zhejiang, China; Center for Forest Resource Monitoring of Zhejiang Province, Hangzhou, Zhejiang, China
Recommended Citation:
Zheng Q,, Jiang R,, Wang K,et al. Monitoring the trajectory of urban nighttime light hotspots using a Gaussian volume model[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,65