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国土资源遥感  2013, Vol. 25 Issue (3): 90-96    DOI: 10.6046/gtzyyg.2013.03.16
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
基于TM图像的南京市气溶胶光学厚度反演
程晨, 陈健, 李鑫慧
南京信息工程大学遥感学院, 南京 210044
Retrieving aerosol optical depth over Nanjing City based on TM image
CHENG Chen, CHEN Jian, LI Xinhui
College of Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China
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摘要 

气溶胶是影响地气能量平衡和气候变化的重要因素,对人类生活环境质量有着重要的影响。利用Landsat5 TM图像,通过6S大气辐射传输模型建立查找表; 在此基础上进行回归分析,得到暗像元的气溶胶光学厚度(aerosol optical depth,AOD); 再通过克里金插值计算得到南京市的AOD空间分布数据; 最后通过大气校正对结果的合理性进行检验,并对反演结果进行了分析。结果表明: 将暗像元法应用于TM图像可以较好地反演出南京市AOD的空间分布; 南京市AOD总体呈现北高南低的分布特点,植被、城市建成区、地形的分布是影响南京市AOD分布的主要因素; 对于南京市来说,采用高空间分辨率的图像能够获得比一般空间分辨率图像更多气溶胶分布的细节信息。

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王寿彪
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关键词 图像情报多源空间数据集成组件式GISSuperMap SDX+    
Abstract

Aerosol is an important factor which not only influences land-atmosphere energy balance and climate change but also affects the environmental quality of human life. Based on TM image of Landsat 5, the authors built up a look-up table by 6S atmospheric radiative transfer model, and then got the aerosol optical depth (AOD) of the dark pixels based on regression analysis. After that, the spatial distribution of AOD over Nanjing City was calculated by kriging interpolation. The results were tested by atmospheric correction and an analysis was made on the inversion results at last. The results show that the TM images, which have a higher resolution, can be used to retrieve AOD accurately through the "dark pixel" method, that the AOD value in the north of Nanjing is relatively higher than that in the south, that the distribution of vegetation, urban area and elevation in Nanjing City is the main factor influencing the distribution of AOD, and that high resolution images are capable of obtaining more details of the spatial distribution of aerosol than low resolution images in the urban area.

Key wordsimage intelligence    multi-source spatial data integration    Com GIS    SuperMap SDX+
收稿日期: 2012-09-05      出版日期: 2013-07-03
:  TP 79  
基金资助:

江苏高校优势学科建设工程资助项目及国家自然科学基金项目(编号: 40901239)共同资助。

作者简介: 程晨(1988-),男,硕士研究生,从事定量遥感研究。 E-mail: cheng_chen_2007@163.com。
引用本文:   
程晨, 陈健, 李鑫慧. 基于TM图像的南京市气溶胶光学厚度反演[J]. 国土资源遥感, 2013, 25(3): 90-96.
CHENG Chen, CHEN Jian, LI Xinhui. Retrieving aerosol optical depth over Nanjing City based on TM image. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 90-96.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2013.03.16      或      https://www.gtzyyg.com/CN/Y2013/V25/I3/90

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