EN中文

地理研究 >

2009 , Vol. 28 >Issue 3: 673 - 684

DOI: https://doi.org/10.11821/yj2009030012

土地资源与利用

山地城市土地覆盖变化对地表温度的影响

展开
  • 1. 西南大学资源环境学院,重庆400716;
    2. 西南大学地理科学学院, 重庆 400715
彭征(1978-),男,重庆市人,博士生。主要从事土地空间信息技术研究。 E-mail:pzheng@swu.edu.cn *通讯作者 : 廖和平(1964-),女,重庆市人,教授。主要从事国土资源开发利用及土地利用规划研究。 E-mail:liaohp@swu.edu.cn

收稿日期: 2008-09-08

  修回日期: 2009-02-16

  网络出版日期: 2009-05-25

基金资助

国家"十一五"科技支撑计划"城市建设用地节约关键技术研究利用" (2006BAJ14B04),子课题"城市功能结构与土地利用格局的关联分析研究"(2006BAJ14B04-02)

收起

Influence of land cover change on land surface temperature in the mountainous city

Expand
  • 1. School of Resource and Environment, Southwest University, Chongqing 400716, China;
    2. School of Geographical Science, Southwest University, Chongqing 400715, China

Received date: 2008-09-08

  Revised date: 2009-02-16

  Online published: 2009-05-25

Supported by

国家"十一五"科技支撑计划"城市建设用地节约关键技术研究利用" (2006BAJ14B04),子课题"城市功能结构与土地利用格局的关联分析研究"(2006BAJ14B04-02)

Fold

摘要

针对山地城市复杂的城市地貌和下垫面类型,本文使用TM、DEM、ETM+等遥感影像资料,提取了重庆市土地利用覆盖类型;借助TM、MSS等遥感数据的红外波段,反演出1988年和2000年的地表温度。分析了重庆市近十年的土地覆盖变化及其对地表温度的影响,结果表明,在1988~2000年间,研究区土地覆盖变化明显,特别是城市土地覆盖面积有显著增加。土地覆盖类型的变化会改变地表温度的空间分布,尤其是城市土地的扩展会提高地表温度。对山地、丘陵、平坝、陡坡四种耕地的地表温度进行了深入分析与研究,结果表明:山地城市土地覆盖变化引起了植被覆盖度的变化,而植被覆盖度的变化又相应地影响了地表温度的变化,植被覆盖度每下降10%,地表温度上升0.49K。

关键词： 山地城市; 土地覆盖变化; 地表温度; 反演

本文引用格式

彭 征, 廖和平, 郭月婷, 李 清 . 山地城市土地覆盖变化对地表温度的影响[J]. 地理研究, 2009 , 28(3) : 673 -684 . DOI: 10.11821/yj2009030012

Abstract

Based on complex physiognomy of the mountainous city, as well as its underlying surface type, this paper used TM, DEM and ETM+ data to extract the land-use cover types of Chongqing, and retrieved the land surface temperature by using single Landsat TM/ETM6 thermal infrared data to analyze complex urban landscape of 1988 and 2000. The integration of remote sensing and GIS was further applied to examine the influence of land cover change and urban growth on land surface temperatures. The article analyzes land-cover change in Chongqing during recent 10 years and its influence on land surface temperature. The results show that the combination of various land cover types extracted by effective infrared band and retrieved land surface temperature space as well as plant-covered space, could accurately reveal the relationship of plant-covered degree and retrieved land surface temperature. And then this paper demonstrates that the rise of land surface temperature in Chongqing is mainly due to urban land development. In the period 1988-2000, the land-cover of the study area changed significantly, in particular, the urban construction land area increased significantly. The land-cover change led to spatial changes of the LST distribution. Furthermore, urban development in Chongqing raised land surface radiant temperature. We studied four types of cultivated land surface temperatures related to mountains, hills, fattened land (intermontane basins) and steep slopes. The results show that the land-cover changes in the mountainous city caused the changes of NDVI, and the change of NDVI caused the land surface temperature. As NDVI decreased by 10%, the land surface temperature rose by 0.49K. Finally the essay concludes that the increase of accuracy defined by land surface emissivity could increase the accuracy of retrieved land surface temperature. The increase of categorical accuracy in land use types could demonstrate how land use change influences land surface temperature in the mountainous city, which should be emphasized in further researches.

Key words： mountainous city; land cover change; land surface temperature; inversion

参考文献


[1] Ehlers M, Jadkowski M A, Howard R R, et al. Application of a remote sensing-GIS evaluation of urban expansion 2013 SPOT data for regional growth analysis and local planning. Photogrammetric Engineering and Remote Sensing, 1990, 56(1): 175~180.

[2] Treitz P M, Howard P J, Gong P. Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: a case study. Photogrammetric Engineering and Remote Sensing, 1992, 58(2): 439~448.

[3] Harris P M, Ventura S J. The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogrammetric Engineering and Remote Sensing, 1995, 61(5): 993~998.

[4] 李月臣,何春阳.中国北方土地利用/覆盖变化的情景模拟与预测.科学通报,2008,53(6):713.

[5] 张小飞,等. 城市地域地表温度-植被覆盖定量关系分析——以深圳市为例. 地理研究,2006,25(3):369.

[6] 杨英宝,苏伟忠,江南,甄峰. 南京市热岛效应变化时空特征及其与土地利用变化的关系.地理研究,2007,26(7):877~886.

[7] 刘宇,等. 不同土地利用类型对城市地表温度的影响——以广东东莞为例. 地理科学,2006,26(5):597~602.

[8] 刘朝顺,高志强,高炜. 基于遥感的蒸散发及地表温度对LUCC 响应的研究. 农业工程学报,2007,23(8):1~8.

[9] Jiménez-Muìoz J C, Sobrino J A. A generalized single-channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research, 2003, 108(D22):4688.

[10] Qin Z H, Karnieli A, Berliner P. A mono-window algorithm for retrieval land surface temperature from landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 2001, 22 (18) : 3719~3746.

[11] Qin Z H, Zhang M H, Arnon K, et al. Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data. Acta Geographica Sinica, 2001,56(4):456~466.

[12] Sobrino J A, Jiménez-Muìoz J C, Paolini L. Land Surface Temperature Retrieval from LANDSAT TM 5. Remote Sensing of Environment, 2004,90(4):434~440.

[13] 钱乐祥,崔海山. 归一化水汽指数与地表温度的关系. 地理研究,2008,27(6):1358~1366.

[14] 廖和平,彭征,洪惠坤,程希. 重庆市直辖以来的城市空间扩展与机制. 地理研究,2007,26(6):1137.

[15] Sells P J, Hall E G, Asrar F. The first ISLSCP Field Experiment ( FIFE) . Bulletin of American Meteorology Society, 1998, 69(1):22~27.

[16] Balling R C, Brazell S W. High resolution surface temperature patterns in a complex urban terrain. Photogrammetric Engineering and Remote Sensing,1988, 54(7):1289~1293.

[17] Roth M, Oke T R, Emery W J. Satellite derived urban heat islands from three coastal cities and the utilization of suchdata in urban climatology. International Journal of Remote Sensing,1989,10(8): 1699~1720.

[18] Gallo K P, McNab A L, Karl T R, et al. The use of NOAA AVHRR data for assessment of the urban heat island evect. Journal of Applied Meteorology, 1993, 32(5): 899~908.

[19] 张心怡,刘敏,孟飞. 基于RS 和GIS 的地面温度和土地利用/ 覆被关系研究进展. 遥感信息,2005,(3):67.

[20] Qin Z, Li W, Zhang M, et al. Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from Landsat TM 6. Remote Sensing for Land and Resources, 2003, (2): 37~43.

[21] 杨景梅, 邱金恒. 我国可降水量同地面水汽压关系的经验表达式. 大气科学,1996,20(5):620~626.

[22] Van de Griend A, Owe M. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. International Journal of Remote Sensing, 1993,14(6):1119~1131.

[23] 朴世龙, 方精云. 最近18年来中国植被覆盖的动态变化. 第四纪研究, 2001,21(4):294~302.

[24] Weng Q, Lu D, Schubring J. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 2004, 89: 467~483.

[25] Makoto Y, Robert D, Yoshitake K, et al. The cooling effect of paddy fields on summertime air temperature in residential Tokyo, Japan. Landscape and Urban Planning, 2001,53: 17~27.

[26] Campbell J B. Introduction to Remote Sensing. (3rd edn.) New York: The Guilford Press,2002.331~342.

[27] Sandholt I, Rasmussen K, Andersen J. A simple interpretation of t he surface temperature/ vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 2002, 79:213~224.

[28] 马志勇,沈涛,张军海,李成名. 基于植被覆盖度的植被变化分析.测绘通报,2007,(3):45~47.

Options
文章导航

/

〈 〉