GST  >> Vol. 5 No. 2 (April 2017)

    A Remote Sensing Study of the Urban Heat Island of Hong Kong

  • 全文下载: PDF(687KB) HTML   XML   PP.23-33   DOI: 10.12677/GST.2017.52004  
  • 下载量: 789  浏览量: 2,059   国家自然科学基金支持


刘雪梅:昆士兰科技大学土木工程与建筑环境学院,布里斯班;青岛理工大学土木工程学院,山东 青岛;

Landsat TM单窗算法地表温度热岛效应香港Landsat TM Mono-Window Algorithm Land Surface Temperature Heat Island Effect Hong Kong


城市热岛是当今社会的热点问题,被认为是主导城市环境和气候的要素之一。本文将利用2005年的Landsat TM影像对香港的城市热岛效应进行研究。通过覃志豪的单窗算法反演地表温度,进而分析香港地区地表温度的空间分布特征以及由此引起的热岛效应;并利用地表温度与NDVI、NDBI指数的相关性分析,探讨城市绿地和建筑用地对热岛效应的影响,为城市的生态环境建设提供依据。结果表明,香港的城市热岛效应主要集中于香港国际机场和九龙半岛附近。香港国际机场自1998年建成以来,周围建筑用地急剧增加,导致了热岛效应;而在商贸集中的九龙地区,由于建筑物大规模的连绵和扩展,造成了区域大面积的温度升高,城市热岛甚至发展成为区域热岛。同时,地表温度与NDVI、NDBI指数的相关性分析显示,城市绿地可有效的缓解建筑用地增加所导致的城市热岛效应,因此在以后的城市规划和发展过程中,应当重视城市绿化,积极增加绿地覆盖度。

As a hotspot issue of urban environment and climate, urban heat island effect has aroused wide public concern. In this paper, based on Landsat TM data of Hong Kong (HK) in 2005, a research of urban heat island effect will be implemented. The mono-window algorithm which is proposed by Qin and only requires 3 essential parameters without the use of in situ measurements is used to retrieve the land surface temperature (LST), and we give a detailed description of the algorithm in the paper. Then next, we could analyze the spatial pattern of LST in HK and get the distribution characteristics of urban heat island effect. On the other hand, we also do the correlation analysis between LST and NDVI, NDBI to explore the impacts of green land and build-up land on urban heat island and provide useful information for the urban development and environment protection. The results show that, the Hong Kong urban heat island effect is mainly located in Hong Kong international airport and Kowloon Island. Since the start of Hong Kong international airport in 1998, the construction land increases sharply. The change of land cover/use has conducted to the urban heat island effect in Chek Lao Kok. In the Kowloon area, the urban heat island has converted to regional heat island because the connected pieces of urban construction. Otherwise, the 9 dispersed satellite cities of HK have dispersed distribution of urban heat island effect. So in city layout, the establishment of satellite cities apart from the business center is reasonable to prevent the formation of large-scale regional urban heat island. Meanwhile, we get the correlation coefficient between LST and NDVI, NDBI through the correlation analysis. The negative correlation coefficient of LST and NDVI proves that the green land can weaken urban heat island effect; while the positive correlation coefficient of LST and NDBI demonstrates that the build-up land can contribute to the effect. Thus, in our future city planning and development, we should pay attention to the urban greening.

刘琳, 刘雪梅, 张渊智. 香港城市热岛效应的遥感反演分析[J]. 测绘科学技术, 2017, 5(2): 23-33.


[1] Landsberg, H.E. (1981) The Urban Climate. Academic Press, New York, 84-89.
[2] Howard, L. (1833) The Climate of London. London Harvey and Dorton, London, 1818-1820.
[3] Streutker, D.R. (2002) A Remote Sensing Study of the Urban Heat Island of Houston, Texas. International Journal of Remote Sensing, 23, 2595-2608.
[4] Sobrino, J.A., Li, Z.L., Stoll, M.P., et al. (1996) Multi-Channel and Multi-Angle Algorithms for Estimating Sea and Land Surface Temperature with ATSR Data. International Journal of Remote Sensing, 17, 2089-2114.
[5] Gillespie, A.R., Rokugawa, S., Matsunaga, T., et al. (1998) A Temperature and Emissivity Separation Algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Images. IEEE Transaction on Geoscience and Remote Sensing, 36, 1113-1126.
[6] Qin, Z., Kamieli, A. and Berliner, P. (2001) A Mono-Window Algorithm for Retrieving Land Surface Temperature from Landsat TM Data and Its Application to the Israel-Egypt Border Region. International Journal of Remote Sensing, 22, 3719-3746.
[7] Jimenez-Munoz, J.C. and Sobrino, J.A. (2003) A Generalized Single-Channel Method for Retrieving Land Surface Temperature from Remote Sensing Data. Journal of Geophysical Research, 108, 4688-4694.
[8] 张兆明, 何国金, 肖荣波. 基于MODIS和TM数据的陆面温度反演[J]. 中国图象图形学报, 2007, 12(2): 366-370.
[9] Sobrino, J.A., Jimenez-Munoz, J.C. and Paolini, L. (2004) Land Surface Temperature Retrieval from Landsat TM 5. Remote Sensing of Environment, 90, 434-440.
[10] Vande Griend, A.A. and Owe, M. (2003) On the Relationship between Thermal Emissivity and the Normalized Difference Vegetation Index for Natural Surfaces. International Journal of Remote Sensing, 14, 1119-1131.
[11] Zhang, J., Wang, Y. and Li, Y. (2006) A C++ Program for Retrieving Land Surface Temperature from the Data of Landsat TM/ETM Band 6. Computer and Geosciences, 32, 1796-1805.
[12] Sun, Q., Tan, J. and Xu, Y. (2010) An ERDAS Image Processing Method for Retrieving LST and Describing Urban Heat Evolution: A Case Study in the Pearl River Delta Region in South China. Environmental Earth Sciences, 59, 1047-1055.
[13] 李净. 基于Landsat-5 TM估算地表温度[J]. 遥感技术与应用, 2006, 21(4): 322-326.
[14] Lu, Y., Feng, P., Shen, C., et al. (2009) Urban Heat Island in Summer of Nanjing Based on TM Data. IEEE Xplore.
[15] Zeng, Y., Huang, W., Zhan, F.B., et al. (2010) Study on the Urban Heat Island Effect and Its Relationship with Surface Biophysical Characteristics Using MODIS Imageries. Geo-Spatial Information Science, 13, 1-7.