Study on land surface temperature vegetation cover relationship in urban region:a case in Shenzhen City
Received date: 2005-07-20
Revised date: 2006-03-17
Online published: 2006-06-15
Studies on urban heat islands(UHIs) have traditionally focused on relationship between vegetation fraction(Fv) and land surface temperature(Ts),which are important parameters to describe characters of ecosystem.The objectives of this study are:(1) to derive Ts and analyze their spatial variations using Landsat ETM+ thermal measurements;(2) to apply linear spectral mixture analysis to estimate Fv of urban vegetation abundance;and (3) to investigate the relationship between Ts and Fv derived vegetation abundance(using) conventional statistics and fractal analysis. Based on examination of a Landsat Enhanced Thematic Mapper Plus(ETM+) image of Shenzhen city,acquired on February 23,2004,the landscape classification of Shenzhen is conducted on supervised classification and interactive modification,and the applicability of Fv is investigated as an alternative indicator of vegetation abundance,and Ts is derived from ETM+ thermal infrared(TIR) data.To examine the spatial patterns of Ts and Fv,28 transects(profiles) are drawn across through the center of the city on the image.Since these transects pass over various landscapes with different environmental settings,an inquiry into the fractal characteristics of the profiles using the divider method will help to understand the factors shaping the city's thermal and vegetative landscape and lead to the development of UHIs.The use of fractals for analyzing TIR images will improve our understanding of the thermal behavior of different land cover types. Results demonstrate that Ts possessed a slightly stronger negative correlation with the Fv for all land cover types across the spatial resolution(30 to 960 m).Fractal analysis of image texture shows that the complexity of these images increased initially with pixel aggregation and peaked around 120 m,but decreased with further aggregation.Correlations reached the strongest at a resolution of 120 m,which is believed to be the operational scale of Ts and Fv.The spatial variability of texture in Ts is positively correlated with those in Fv.The interplay between thermal and vegetation dynamics in the context of different land cover types leads to the variations in spectral radiance and texture in Ts.It is suggested that the areal measure of vegetation abundance by unmixed vegetation fraction has a more direct correspondence with the radiative,thermal,and moisture properties of the Earth's surface that determines Ts.
Key words: land surface temperature; vegetation cover; Shenzhen
ZHANG Hsiao-fei, WANG Yang-lin, WU Jian-sheng, LI Wei-feng, LI Zheng-guo . Study on land surface temperature vegetation cover relationship in urban region:a case in Shenzhen City[J]. GEOGRAPHICAL RESEARCH, 2006 , 25(3) : 369 -377 . DOI: 10.11821/yj2006030001
[1] Forman R T T,Godron M. Landscape Ecology. New York:Willey,1986.
[2] Forman R T T1 Land Mo saics2t he Ecology of Landscapes and Regions1 Cambridge Universit y Press,1995.
[3] 邬建国.景观生态学———格局、过程、尺度与等级.北京:高等教育出版社,2000.
[4] Wu Jianguo,J elinski D E,L uck Matt,et al1 Multiscale analysis of landscape heterogeneit y:scale variance and pat2tern met rics1 Geographic Information Sciences,2000,6(1):6~19.
[5] 汤君友,杨山,赵锐.无锡市城镇用地变化及其环境效应研究.国土资源遥感,2002,(3):16~18.
[6] 周红妹,周成虎,葛伟强,等.基于遥感和GIS的城市热场分布规律研究.地理学报,2001,56(2):189~197.
[7] Weng Q. A remote sensing:GIS evaluation of urban expansion and it s impact on surface temperat ure in t he Zhu2jiang Delta,China. International Journal of Remote Sensing,2001,22:1999~2014.
[8] 李晓兵.国际土地利用—土地覆盖变化的环境影响研究.地球科学进展,1999,14(8):395~400.
[9] 朴世龙,方精云.最近.8年来中国植被覆盖的动态变化.第四纪研究,2001,21(4):294~302.
[10] 杨士弘,等1城市生态环境学1北京:科学出版社,2003. 75~82.
[11] Weng Q,L u D,Schubring J. Estimation of land surface temperat ure2vegetation abundance relationship for urbanheat island st udies. Remote Sensing of Environment,2004,89:467~483.
[12] Makoto Y,Robert D,Yoshitake K,et al1 The cooling effect of paddy fields on summertime air temperat ure in res2idential Tokyo,J apan1 Landscape and Urban Planning,2001,53:17~27.
[13] Camp bell J B. Int roduction to Remote Sensing.(3rd edn.). New York:The Guilford Press,2002.
[14] Sandholt I,Rasmussen K,Andersen J1 A simple interpretation of t he surface temperat ure/vegetation index spacefor assessment of surface moist ure stat us1 Remote Sensing of Environment,2002,79:213~224.
[15] 陈晋,陈云浩,何春阳,史培军.基于土地覆盖分类的植被覆盖率估算亚像元模型与应用.遥感学报,2001,5(6):416~422.
[16] 赵英时.美国中西部沙山地区环境变化的遥感研究.地理研究,2001,20(2):213~219.
[17] 万军,蔡运龙.应用线性光谱分离技术研究喀斯特地区土地覆被变化———以贵州省关岭县为例.地理研究,2003,22(4):439~446.
[18] Hill J,Hoster P,Tsiourlis G,et al. Monitoring 20 years of increased grazing impact on t he Greek Island of Cretewit h eart h observation satellites. Journal of Arid Environment s,1998,39:165~178.
[19] Adams J B,Smit h M O,Jo hnson P E. Spect ral mixt ure modeling:a new analysis of rock and soil t ypes at t he Vi2king Lander I Site. Geophys. Res.,1986,91:8098~8112.
[20] 李旭文.苏南大运河沿线城市热岛现象的卫星遥感分析.国土资源遥感,1993,(4):28~33.
[21] 陈云浩,李京,李晓兵1城市空间热环境遥感分析———格局、过程、模拟与影响1北京:科学出版社,2004.
[22] Lam N S N. Description and measurement of Landsat TM images using f ractals. Photogrammet ric Engineering andRemote Sensing,1990,56:187~195.
[23] Brown S R. Measuring t he dimension of self2affine f ractals:Examples of rough surfaces. In:C C Barton,P RLa Pointe(Eds.). Fractals in t he Eart h Sciences(pp. 77,87). New York:Plenum,1995.
[24] Weng Q. Fractal analysis of satellite2detected urban heat island effect. Photogrammet ric Engineering and RemoteSensing,2003,69:555~566.
/
| 〈 |
|
〉 |