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国土资源遥感  2014, Vol. 26 Issue (2): 134-139    DOI: 10.6046/gtzyyg.2014.02.22
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
城市不透水面及地表温度的遥感估算
杨可明1, 周玉洁1, 齐建伟2, 王林伟1, 刘士文1
1. 中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083;
2. 中国国土资源航空物探遥感中心, 北京 100083
Remote sensing estimating of urban impervious surface area and land surface temperature
YANG Keming1, ZHOU Yujie1, QI Jianwei2, WANG Linwei1, LIU Shiwen1
1. College of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China;
2. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
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摘要 基于植被-不透水面-土壤模型和全约束最小二乘法混合像元分解模型,从探索城市热岛效应和城市不透水面关系出发,利用TM数据对北京市海淀区的城市不透水面丰度和地表温度进行估算,并在此基础上对二者之间的相关性进行定性分析和定量评价。研究表明:城市不透水面的空间分布和变化趋势与地表温度之间存在明显的一致性,二者相关系数达到0.752 5,这说明城市不透水面信息可以很好地反映城市热环境的空间分布状况。
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严婷婷
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盛连喜
张吉顺
高明辉
关键词 森林湿地遥感技术水文反演湿地分类湿地识别    
Abstract:This paper aimed at exploring the relationship between the impervious surfaces area (ISA) and the land surface temperature (LST), and estimating ISA and LST in Haidian District, Beijing by using TM remote sensing data based on the vegetation-impervious surface-soil (V-I-S) model and the mixed pixel decomposition method of fully constrained least squares (FCLS). Furthermore, qualitative analysis and quantitative evaluation were made based on the estimated results. It can be found that there exists an obvious consistency between the spatial distribution and the variation trend of urban ISA and LST, with the correlation coefficient being 0.752 5. The ISA information could be a better indicator to reflect the spatial distribution of heat flux in urban environment.
Key wordsforested wetland    remote sensing techniques    hydrological inversion    wetlands classification    wetlands mapping
收稿日期: 2013-05-06      出版日期: 2014-03-28
:  TP75  
基金资助:国家自然科学基金项目(编号:41271436)和中央高校基本科研业务费专项基金项目(编号:2009QD02)共同资助。
作者简介: 杨可明(1969- ),男,博士,教授,主要从事遥感与GIS方面的研究。Email:ykm69@163.com。
引用本文:   
杨可明, 周玉洁, 齐建伟, 王林伟, 刘士文. 城市不透水面及地表温度的遥感估算[J]. 国土资源遥感, 2014, 26(2): 134-139.
YANG Keming, ZHOU Yujie, QI Jianwei, WANG Linwei, LIU Shiwen. Remote sensing estimating of urban impervious surface area and land surface temperature. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 134-139.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2014.02.22      或      https://www.gtzyyg.com/CN/Y2014/V26/I2/134
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