DOI: 10.1016/j.jag.2014.03.019
Scopus记录号: 2-s2.0-84904463301
论文题名: Assessing the effects of land use spatial structure on urban heatislands using HJ-1B remote sensing imagery in Wuhan, China
作者: Wu H ; , Ye L ; -P ; , Shi W ; -Z ; , Clarke K ; C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 32, 期: 1 起始页码: 67
结束页码: 78
语种: 英语
英文关键词: Fractal analysis
; HJ-1B
; Land use spatial structure
; Landscape metrics
; Urban heat island
; Vegetation indexes
Scopus关键词: environmental management
; fractal analysis
; heat island
; land use change
; landscape structure
; remote sensing
; satellite imagery
; spatial distribution
; spatial variation
; surface temperature
; urban planning
; urbanization
; vegetation index
; China
; Hubei
; Wuhan
英文摘要: Urban heat islands (UHIs) have attracted attention around the world because they profoundly affectbiological diversity and human life. Assessing the effects of the spatial structure of land use on UHIs isessential to better understanding and improving the ecological consequences of urbanization. This paperpresents the radius fractal dimension to quantify the spatial variation of different land use types aroundthe hot centers. By integrating remote sensing images from the newly launched HJ-1B satellite system,vegetation indexes, landscape metrics and fractal dimension, the effects of land use patterns on the urbanthermal environment in Wuhan were comprehensively explored. The vegetation indexes and landscapemetrics of the HJ-1B and other remote sensing satellites were compared and analyzed to validate theperformance of the HJ-1B. The results have showed that land surface temperature (LST) is negativelyrelated to only positive normalized difference vegetation index (NDVI) but to Fv across the entire rangeof values, which indicates that fractional vegetation (Fv) is an appropriate predictor of LST more than NDVIin forest areas. Furthermore, the mean LST is highly correlated with four class-based metrics and threelandscape-based metrics, which suggests that the landscape composition and the spatial configurationboth influence UHIs. All of them demonstrate that the HJ-1B satellite has a comparable capacity for UHIstudies as other commonly used remote sensing satellites. The results of the fractal analysis show thatthe density of built-up areas sharply decreases from the hot centers to the edges of these areas, whilethe densities of water, forest and cropland increase. These relationships reveal that water, like forestand cropland, has a significant effect in mitigating UHIs in Wuhan due to its large spatial extent andhomogeneous spatial distribution. These findings not only confirm the applicability and effectiveness ofthe HJ-1B satellite system for studying UHIs but also reveal the impacts of the spatial structure of landuse on UHIs, which is helpful for improving the planning and management of the urban environment. © 2014 Elsevier B.V. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79746
Appears in Collections: 气候变化事实与影响
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作者单位: School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong; Department of Geography, University of California, Santa Barbara, Santa Barbara 93106, United States
Recommended Citation:
Wu H,, Ye L,-P,et al. Assessing the effects of land use spatial structure on urban heatislands using HJ-1B remote sensing imagery in Wuhan, China[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,32(1)