Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29671
Title: Assessing the effects of land use spatial structure on urban heatislands using HJ-1B remote sensing imagery in Wuhan, China
Authors: Wu, H
Ye, LP
Shi, WZ 
Clarke, KC
Keywords: Fractal analysis
HJ-1B
Land use spatial structure
Landscape metrics
Urban heat island
Vegetation indexes
Issue Date: 2014
Publisher: Elsevier
Source: International journal of applied earth observation and geoinformation, 2014, v. 32, no. 1, p. 67-78 How to cite?
Journal: International journal of applied earth observation and geoinformation 
Abstract: 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.
URI: http://hdl.handle.net/10397/29671
ISSN: 1569-8432
EISSN: 1872-826X
DOI: 10.1016/j.jag.2014.03.019
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

29
Last Week
0
Last month
0
Citations as of Jul 20, 2017

WEB OF SCIENCETM
Citations

21
Last Week
0
Last month
2
Citations as of Jul 19, 2017

Page view(s)

38
Last Week
0
Last month
Checked on Jul 16, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.