Please wait a minute...
img

官方微信

遥感技术与应用  2007, Vol. 22 Issue (1): 14-19    DOI: 10.11873/j.issn.1004-0323.2007.1.14
研究与应用     
城市不透水面及其与城市热岛的关系研究—以泉州市区为例
林云杉,徐涵秋,周 榕
(福州大学环境与资源学院,福建福州 350002)
A Study on Urban Impervious Surface Area and Its Relation with Urban Heat Island:Quanzhou City,China
LIN Yun-shan, XU Han-qiu, ZHOU Rong
(College of Environment and Resources,Fuzhou University,Fuzhou350002,China)
 全文: PDF 
摘要:

利用Landsat TM卫星影像提取了泉州市1989到1996年的城市建成区不透水面,并研究了其与城市热岛之间的关系。根据Ridd(1995)提出的城市建成区不透水面与植被覆盖度有很强的负相关关系的思想,先利用归一化植被指数求出泉州市建成区的植被覆盖度,进而提取了泉州市建成区的不透水面。通过比较所提取的两个时相不透水面信息,可以看出泉州市区不透水面的面积在7年里有了明显的增加,并主要沿研究区东南部扩展。通过将所提取的不透水面信息与利用TM6波段反演的地表温度进行相关分析,可发现二者之间存在着明显的正相关关系。

关键词: 不透水面植被覆盖度城市热岛地表温度泉州    
Abstract:

A remote sensing study on the urban impervious surface and its relation with urban heat island has been carried out taking Quanzhou city of SE China as an example. The remotely-sensed data have been obtained from two Landsat TM images of 1989 and 1996. Ridd (1995) indicated that the impervious surface area(ISA) and the fractional vegetation cover (Fr) have an inversely relation in urban areas. Accordingly, we obtained the spatial patterns of the impervious surface area by calculating fractional vegetation cover derived from the NDVI. The study revealed that the impervious surface area of the study area increased significantly from 1989 to 1996, expanding mainly southeastwards. Furthermore, this paper discussed the quantitative relation between the impervious surface area and the urban heat islands. The land surface temperature has been obtained from band 6 of the Landsat TM images. Based on the regression analysis between the impervious surface area and the land surface temperature, it can be concluded that the impervious surface area has a direct response to the increase of the urban heat island phenomenon.

Key words: Impervious surface area    Fractional vegetation cover    Urban heat island    Land surface temperature    Quanzhou city
收稿日期: 2006-07-24 出版日期: 2011-10-14
:  TP 79   
基金资助:

国家自然科学基金项目(40371107)。

作者简介: 林云杉(1980-),女,硕士,主要从事城市遥感研究。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

林云杉,徐涵秋,周 榕. 城市不透水面及其与城市热岛的关系研究—以泉州市区为例[J]. 遥感技术与应用, 2007, 22(1): 14-19.

LIN Yun-shan, XU Han-qiu, ZHOU Rong. A Study on Urban Impervious Surface Area and Its Relation with Urban Heat Island:Quanzhou City,China. Remote Sensing Technology and Application, 2007, 22(1): 14-19.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2007.1.14        http://www.rsta.ac.cn/CN/Y2007/V22/I1/14


[1] Roth M, Oka T R, Emery W J. Satellite Derived Urban Heat Islands from Three Coastal Cities and the Utilization of Such Data in Urban Climatology
[J]. International Journal of Remote Sensing, 1989, 10(11): 1699-1720.

[2] Owen T W, Carlson T N, Gillies R R. Assessment of Satellite Remotely-sensed Land Cover Parameters in Quantitatively Describing the Climate Effect of Urbanization
[J]. International Journal of Remote Sensing, 1998, 19(9): 1663-1681.

[3] Carlson T N, Arthur S T. The Impact of Land Use-Land Cover Changes Due to Urbanization on Surface Microclimate and Hydrology: A Satellite Perspective
[ J ]. Global and Planetary Changes, 2000, 25: 49-56.

[4]赵俊华.城市热岛的遥感研究
[J].城市环境与城市生态,1994,7(4):40-43.

[5] Ridd M K. Exploring A V-I-S (Vegetation-impervious Surface-soil) Model for Urban Ecosystem Analysis Through Remote Sensing: Comparative Anatomy for Cities
[J]. International Journal of Remote Sensing, 1995, 16:2165-2185.

[6] Carlson T N, Arthur S T. The Impact of Land Use-land Cover Changes Due to Urbanization on Surface Microclimate and Hydrology: A Satellite Perspective
[J]. Global and Planetary Change, 2000, 25:49-65.

[7] Bauer M E, Doyle J K, Heinert N J. Impervious Surface Mapping Using Satellite Remote Sensing
[J]. Geoscience and Remote Sensing Symposium, IGARSS' 02. IEEE International, 2002, 4:2334-2336.

[8] Wu C, Murray A T. Estimating Impervious Surface Distribution by Spectral Mixture Analysis
[J]. Remote sensing of Environment, 2003, 84: 493-505.

[9] 姜红梅,任立泉,安如,等.基于土地利用与地表覆盖遥感信息的洪水过程模拟
[J].河海大学学报(自然科学版),2004,32(2): 131-135.

[10] Chander G, Markham B. Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges
[J].IEEE Transactions on Geoscience and Remote Sensing, 2003,41(11): 2674-2677.

[11] 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究
[J].遥感学报,2005,9(5): 589-595.

[12] Rouse J W, Haas R H, Schell J A,et al. Monitoring Vegetation Systems in the Great Plains with ERTS
[A]. In:Proceedings, Third Earth Resources Technology Satellite-1Symposium
[C]. Greenbelt, NASA SP-351, 1974: 3010-3017.

[13] 陈晋,陈云浩,何春阳,等.基于土地覆盖分类的植被覆盖率估算亚像元模型与应用
[J].遥感学报,2001,5(6):416-423.

[14] Carlson T N, Ripley A J. On the Relationship Between Fractional Vegetation Cover, Leaf Area Index and NDVI
[J].Remote Sensing of Environment, 1997, 62: 241-252.

[15] Che N, Price J C. Survey of Radiometric Calibration Results and Methods for Visible and Near-infrared Channels of NOAA-7,-9 and -11 AVHRRs
[J]. Remote Sensing of Environment,1992, 41: 19-27.

[16] Owen T W, Carlson T N, Gillies R R. Remotely-sensed Surface Parameters Governing Urban Climate Change
[J].International Journal of Remote Sensing, 1998, 19: 1663-1681.

[17] 徐涵秋,陈本清.不同时相的遥感热红外图像在研究城市热岛变化中的处理方法
[J].遥感技术与应用,2003,18(3):129-133.

[18] Sugita M, Brusaert W. Comparison of Land Surface Temperatures Derived from Satellite Observation with Ground Truth During FIFE
[J]. International Journal of Remote Sensing,1993, 14(9): 1659-1676.

[19] 刘志武,雷志栋,党安荣,等.遥感技术和SEBAL模型在干旱区腾发量估算中的应用
[J].清华大学学报(自然科学版),
2004,44(3):421-424.

[20] Nichol J E. A GIS-based Approach to Microclimate Monitoring in Singapore' s High-rise Housing Estates
[J]. Photogrammetric Engineering and Remote Sensing, 1994, 60(10):1225-1232.

[1] 汪子豪,秦其明,孙元亨. 基于BP神经网络的地表温度空间降尺度方法[J]. 遥感技术与应用, 2018, 33(5): 793-802.
[2] 王恺宁,王修信,黄凤荣,罗涟玲. 喀斯特城市地表温度遥感反演算法比较[J]. 遥感技术与应用, 2018, 33(5): 803-810.
[3] 石满,陈健,覃帮勇,李盛阳. 天宫二号数据地表温度反演及其在城市群热环境监测中的应用[J]. 遥感技术与应用, 2018, 33(5): 811-819.
[4] 李军,龚围,辛晓洲,高阳华. 重庆地表温度的遥感反演及其空间分异特征[J]. 遥感技术与应用, 2018, 33(5): 820-829.
[5] 金点点,宫兆宁. 基于Landsat 系列数据地表温度反演算法对比分析—以齐齐哈尔市辖区为例[J]. 遥感技术与应用, 2018, 33(5): 830-841.
[6] 王琳,徐涵秋,李胜. 重钢重工业区迁移对区域生态的影响研究[J]. 遥感技术与应用, 2018, 33(3): 387-397.
[7] 史新,周买春. 基于Landsat 8数据的3种地表温度反演算法在三河坝流域的对比分析[J]. 遥感技术与应用, 2018, 33(3): 465-475.
[8] 段金亮,王杰,张婷. 一种基于光谱归一化下的植被覆盖度反演算法[J]. 遥感技术与应用, 2018, 33(2): 252-258.
[9] 郑明亮,黄方,张鸽. 基于TsHARP模型和STITFM算法的地表温度影像融合研究[J]. 遥感技术与应用, 2018, 33(2): 275-283.
[10] 李珊珊,蒋耿明. 基于通用分裂窗算法和Landsat-8数据的地表温度反演研究[J]. 遥感技术与应用, 2018, 33(2): 284-295.
[11] 李艳,侯金亮,黄春林. 基于Copula函数的地表温度空间降尺度研究[J]. 遥感技术与应用, 2017, 32(5): 818-824.
[12] 郑飞,张殿发,孙伟伟,杨刚. 基于ASTER遥感的杭州城市热/冷岛的景观特征分析[J]. 遥感技术与应用, 2017, 32(5): 938-947.
[13] 方雨晨,王培燕,田庆久. 不同覆盖度下小麦农田土壤对NDVI影响模拟分析[J]. 遥感技术与应用, 2017, 32(4): 660-666.
[14] 周在明,杨燕明,陈本清. 基于无人机影像的滩涂入侵种互花米草植被信息提取与覆盖度研究[J]. 遥感技术与应用, 2017, 32(4): 714-720.
[15] 李小龙,杨英宝,曹利娟,章勇. 基于遥感和CFD模拟的城市绿地形态对热环境的影响研究[J]. 遥感技术与应用, 2016, 31(6): 1150-1157.