Please wait a minute...
img

官方微信

遥感技术与应用  2007, Vol. 22 Issue (3): 301-308    DOI: 10.11873/j.issn.1004-0323.2007.3.301
研究与应用     
一种基于指数的新型遥感建筑用地指数及其生态环境意义
徐涵秋
(福州大学环境与资源学院,数据挖掘与信息共享教育部重点实验室,福建 福州 350002)
A New Index-based Built-up Index(IBI)and Its Eco-environmental Significance
XU Han-qiu
(College of Environment and Resources,Fuzhou University;Key Laboratory of Data Mining and Information Sharing,China's Ministry of Education,Fuzhou350002,China)
 全文: PDF 
摘要:

城市建筑用地是一种复杂的土地利用类型,在电磁波反射光谱上表现出明显的异质性。因此,很难用简单的方法将其从遥感影像中准确地提取出来。在详细研究了城市建筑用地的光谱特征以后,创建了一种不直接采用影像的原始波段,而是采用由它们衍生的3个指数波段来构成新型建筑用地指数(IBI)。通过对ASTER和Landsat ETM+两种多光谱影像进行的实验表明,新指数除了能够有效地增强影像中的建筑用地信息外,还能和植被指数、水体指数一样,用于进行数值运算,从而实现了建筑用地对城市生态环境影响的定量研究。对厦门、福州两城市的实例分析表明,新的建筑指数与地表温度呈正相关关系,而与植被指数、水体指数呈负相关关系。研究进一步发现,建筑指数与地表温度的关系不是简单的线性关系,而是一种指数函数关系,说明高建筑用地比例地区的升温效应要明显高于低建筑用地比例地区,因此,对城市热岛的形成起着更大的作用。

关键词: 建筑用地指数生态环境遥感影像处理    
Abstract:

Urban built-up land is a complex land-use class and has a heterogeneous characteristic in reflected electromagnetic spectrum. Therefore, it is difficult to be extracted from remote sensing imagery.This paper proposes a new index-based built-up index (IBI) by careful study of spectral features of urban built-up land. The new index distinguished from other traditional indexes for its use of thematic index-derived bands rather than original image bands. The application of the IBI in ASTER and Landsat ETM+imagery has shown that the new index can significantly enhance the urban built-up land information.Moreover, like vegetation and water indexes, the IBI can also be used for digital computation and thus make it possible to quantitatively study the relationship between urban built-up land and urban eco-environment. The case studies in Xiamen and Fuzhou Cities of south China shows that the IBI has a positive relationship with the land surface temperature (LST) and negative with water and vegetation indexes. Moreover, this study has discovered that the IBI has an exponential relationship with the LST,rather than a simple linear relationship. This suggests that the areas with high built-up land percentage will accelerate the increase of LST much more than the areas with low built-up land percentage and thus contribute much more to the development of the urban heat island.

Key words: Index-based built-up index    Eco-environment    Remote sensing image processing
收稿日期: 2006-08-07 出版日期: 2011-11-25
:  X 87  
基金资助:

国家自然科学基金资助项目(40371107);福建省教育厅重点项目(2005K006)。

作者简介: 徐涵秋(1955-),男,博士,教授,博导,主要从事环境与资源遥感研究。
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:

徐涵秋. 一种基于指数的新型遥感建筑用地指数及其生态环境意义[J]. 遥感技术与应用, 2007, 22(3): 301-308.

XU Han-qiu. A New Index-based Built-up Index(IBI)and Its Eco-environmental Significance. Remote Sensing Technology and Application, 2007, 22(3): 301-308.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2007.3.301        http://www.rsta.ac.cn/CN/Y2007/V22/I3/301

[1] Lo C P. Land Use Mapping of Hong Kong from Landsat Images: An Evaluation[J]. International Journal of Remote Sensing, 1981,2:231-252.
[2] Gong P, Howarth P J. The Use of Structural Information for Improving Land-cover Classification Accuracies at the RuralUrban Fringe[J]. Photogrammetric Engineering and Remote Sensing, 1990, 56: 67-73.
[3] Ridd M K. Exploring A VIS (Vegetation-impervious Surface-soil) Model for Urban Ecosystem Analysis through Remote Sensing: Comparative Anatomy for Cities[J].International Journal of Remote Sensing, 1995, 16(12): 2165-2185.
[4] Masek J G, Lindsay F E, Goward S N. Dynamics of Urban Growth in Washington DC Metropolitan Area, 1973-1996,from Landsat Observations [ J]. International Journal of Remote Sensing, 2000, 21(18):3473-3486.
[5] 杨山.发达地区城乡聚落形态的信息提取与分形研究——以无锡市为例[J].地理学报,2000,55(6):671-678.
[6] 查勇,倪绍祥,杨山.一种利用TM图像自动提取城镇用地信息的有效方法[J].遥感学报,2003,7(1):37-40.
[7] Zha Y, Gao J, Ni S. Use of Normalized Difference Built-up Index in Automatically Mapping Urban Areas from TM Imagery[J]. International Journal of Remote Sensing, 2003,24(3): 583-594.
[8]    Rashed T, Weeks J R, Gadalla M S,et al. Revealing the Anatomy of Cities through Spectral Mixture Analysis of Multispectral Satellite Imagery: A Case Study of the Greater Cairo, Egypt[J]. Geocarto International, 2001, 16(4):5-16.
[9] Zhang Q, Wang J, Peng X,et al. Urban Built-up Land Change Detection with Road Density and Spectral Information from Multi-Temporal Landsat TM Data[J]. International Journal of Remote Sensing, 2002, 23(15):3057-3078.
[10] Gluch R. Urban Growth Detection Using Texture Analysis on Merged Landsat TM and SPOT-P Data[J]. Photogrammetric Engineering and Remote Sensing, 2002, 68(12):1283-1288.
[11] Guindon B, Zhang Y, Dillabaugh C. Landsat Urban Mapping Based on A Combined Spectral-spatial Methodology[J]. Remote Sensing of Environment, 2004, 92(2): 218-232.
[12] 徐涵秋.福清市城镇化进程综合评估及其驱动力分析[J].遥感技术与应用,2002,17(3):86-92.
[13] 徐涵秋.基于压缩数据维的城市建筑用地遥感信息提取[J].中国图像图形学报,2005,10(2):223-229.
[14] Huete A R. A Soil-adjusted Vegetation Index (SAVI)[J]. Remote Sensing of Environment, 1988, 25(3):295-309.
[15] Xu Hanqiu. Modification of the Normalised Difference Water Index(NDWI) to Enhance Open Water Features in Remotely Sensed Imagery [ J ]. International Journal of Remote Sensing, 2006, 27(14):3025-3033.
[16] 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.
[17] 徐涵秋.基于谱间特征和归一化指数分析的城市建筑用地信息提取[J].地理研究,2005,24(2):311-320.
[18] Ray T W. Vegetation in Remote Sensing Faqs[A]. ER Mapper Ltd, Applications[C]. ER Mapper Ltd. Perth, Australia, 2002.
[19] Irish R. Landsat 7 Science Data Users Handbook[S/OL].Http://Ltpwww.Gsfc.Nasa.Gov, 2001.
[20]   Abrams M, Hook S. ASTER User Handbook [S/OL].Http://Asterweb.Jpl.Nasa.Gov, 2002.

[1] 梁继,褚楠,郑敦勇,彭焕华,张静. 面向道路边坡监测的高分二号应用研究[J]. 遥感技术与应用, 2018, 33(4): 638-645.
[2] 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.
[3] 朱钟正,陈玉福,朱文泉,郑周涛. 适用于多目标遥感自动解译的最佳专题指数筛选[J]. 遥感技术与应用, 2017, 32(3): 564-574.
[4] 关磊,李华,苏倩,陈建业. 公路路域生态环境遥感监测数据源选取研究[J]. 遥感技术与应用, 2013, 28(2): 315-321.
[5] 翟孟源,徐新良,江东,姜小三. 1979~2010年乌海市煤矿开采对生态环境影响的遥感监测[J]. 遥感技术与应用, 2012, 27(6): 933-940.
[6] 卢 霞,李 霞,马新辉,张 波. 遥感技术在生态工程动态监测与管理中的应用[J]. 遥感技术与应用, 2012, 27(4): 629-636.
[7] 王鹏,魏信,乔玉良. 多尺度下汾河流域生态环境质量评价与时序分析[J]. 遥感技术与应用, 2011, 26(6): 798-807.
[8] 王继水,顾卫杰. 矿山生态环境修复虚拟系统的关键技术研究及实现[J]. 遥感技术与应用, 2010, 25(6): 842-846.
[9] 白艳芬, 马海州, 张宝成, 梁 继, 李 哲, 李宏毅, 郝晓华, 王 建. 基于遥感和GIS技术的青海湖环湖地区生态环境脆弱性评价[J]. 遥感技术与应用, 2009, 24(5): 635-641.
[10] 沙占江,马海州,李玲琴,白艳芬,王明祥,马海英 . 南水北调西线一期工程调水区生态环境质量遥感分析与综合评价[J]. 遥感技术与应用, 2009, 24(2): 180-185.
[11] 潘竟虎,冯兆东,相得年,张庆国. 河谷型城市土地利用类型及格局的热环境效应遥感分析——以兰州市为例[J]. 遥感技术与应用, 2008, 23(2): 202-207.
[12] 李洪义, 史 舟, 郭亚东, 沙晋明. 基于遥感与GIS 技术的福建省生态环境质量评价[J]. 遥感技术与应用, 2006, 21(1): 49-54.
[13] 谭衢霖,胡吉平. 成像雷达遥感的生态学应用[J]. 遥感技术与应用, 2005, 20(3): 375-380.
[14] 高小红,王一谋,冯毓荪,王建华,马安青. 基于遥感与GIS的青海湖地区土地利用变化及其对生态环境影响的研究[J]. 遥感技术与应用, 2002, 17(6): 304-309.
[15] 李文君,陈贤章,冉有华,王丽红. 遥感技术在生态环境治理工程中应用的初步分析[J]. 遥感技术与应用, 2002, 17(6): 326-329.