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国土资源遥感  2014, Vol. 26 Issue (3): 146-152    DOI: 10.6046/gtzyyg.2014.03.24
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
北京市1989-2010年地表温度时空分异特征分析
王艳慧, 肖瑶
首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048
A temporal-spatial variation analysis of land surface temperature in Beijing
WANG Yanhui, XIAO Yao
Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
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摘要 以3S技术为支持,采用TM数据、应用单窗算法对1989-2010年间北京市五环内地表温度(land surface temperature,LST)进行反演,并采用同步的MODIS 温度产品对反演结果进行对比验证。在此基础上,利用距平值分析和剖面线分析等方法揭示了20多a来北京市地表温度的时空分异总体特征;基于归一化水汽指数(normalized difference moisture index,NDMI)和归一化建筑指数(normalized difference building index,NDBI)分析了研究区内地表温度的时空变化特征,定量揭示并阐述了地表温度和NDMI及NDBI的相关关系。研究结果表明:反演温度可较为真实地反映研究区地表热量的空间差异;北京地表温度时空变化特征明显,同一时段、不同土地覆盖类型的地表温度差异较为显著,热岛效应明显;地表温度和NDBI呈显著的正相关,与NDMI则呈显著的负相关,NDMI和NDBI在表征地表热特征方面均是较好的指标。该结果为监测北京地表温度变化及其时空分布特征提供了依据。
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宋智礼
关键词 多模态遥感图像图像配准特征点检测与匹配算法曲线匹配算法    
Abstract:Land surface temperature (LST) is an important parameter in such fields as meteorology, hydrology and ecology, and the inversion of land surface temperature by use of remote sensing data is a simple and effective method. In this paper, with the support of the 3S technology, the authors took Beijing City as the study area to study the land surface temperature inversion and analyze spatial and temporal characteristics. Using TM data obtained from 1989 to 2010 within the 5th Ring Rroad of Beijing, the authors adapted the single-window algorithm in 20a to the inversion of land surface temperature, with a comparative study of the verification of synchronous MODIS temperature products. On such a basis, the anomaly analysis and hatches analysis were conducted to reveal the overall characteristics of temporal and spatial variation of Beijing surface temperature in more than 20 a. The characteristics of temporal and spatial variation of NDMI and NDBI index were analyzed based on 20 years' land surface temperature of the study area, and the relationship between land surface temperature and NDMI as well as between land surface temperature and NDBI was quantitatively revealed and expounded. Research results show that the single-window algorithm method can obtain the reasonable land surface temperature and can reflect the spatial difference of surface heat condition. Beijing land surface temperature variation characteristics are obvious, surface temperature difference of different land cover types in the same period is evident, and heat island effect is also significant. A significant positive correlation between surface temperature and NDBI exists, and there is a significant negative correlation with NDMI, which means that both NDMI and NDBI are good indicators for marking surface thermal characteristics, and they can be used to provide an effective basis for monitoring surface temperature changes and its spatial and temporal characteristics.
Key wordsmultimodal remote sensing images    image registration    point-feature detecting and matching algorithm    curve-feature matching algorithm
收稿日期: 2013-06-25      出版日期: 2014-07-01
:  TP79  
基金资助:国家自然科学基金项目(编号:41371375)、北京市自然科学基金项目(编号:8132018)及“十二五”国家科技支撑计划项目(编号:2012BAH33B03,2012BAH33B05)共同资助。
作者简介: 王艳慧(1977-),女,博士,副教授,研究方向:地理信息技术与遥感应用。Email:huiwangyan@sohu.com。
引用本文:   
王艳慧, 肖瑶. 北京市1989-2010年地表温度时空分异特征分析[J]. 国土资源遥感, 2014, 26(3): 146-152.
WANG Yanhui, XIAO Yao. A temporal-spatial variation analysis of land surface temperature in Beijing. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 146-152.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2014.03.24      或      https://www.gtzyyg.com/CN/Y2014/V26/I3/146
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