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基于SPOT影像的可吸入颗粒物遥感反演
引用本文:唐明,赵文吉,赵文慧.基于SPOT影像的可吸入颗粒物遥感反演[J].国土资源遥感,2011,22(1):62-65.
作者姓名:唐明  赵文吉  赵文慧
作者单位:首都师范大学资源环境与地理信息系统北京市重点实验室,北京,100048
基金项目:北京市自然科学基金重点项目(编号: KZ200910028006)资助。
摘    要:通过用SPOT 5遥感影像近红外与红光波段计算的差值植被指数(DVI)与实测的可吸入颗粒物(PM10)浓度数据建立模型,对2007年北京市城区SPOT 5影像进行PM10浓度反演试验,反演结果与实测数据所反映的PM10空间分布趋势基本一致.2007年北京市城区北部PM10污染较为严重,南部污染相对较弱; 绿地和水体附近...

关 键 词:SPOT影像  差值植被指数  可吸入颗粒物  反演
收稿时间:2010-04-23
修稿时间:2010-05-24

The Retrieval of Inhalable Particulate Matter Based on SPOT Images
TANG Ming,ZHAO Wen-ji,ZHAO Wen-hui.The Retrieval of Inhalable Particulate Matter Based on SPOT Images[J].Remote Sensing for Land & Resources,2011,22(1):62-65.
Authors:TANG Ming  ZHAO Wen-ji  ZHAO Wen-hui
Institution:(Beijing Key Lab of Resource Environment and GIS,College of Resources Environment and Tourism,Capital Normal University,Beijing 100048,China)
Abstract:A model of DVI is built in this paper. The computation was conducted by near-infrared and red bands of SPOT 5 image and observed concentration of PM10 (inhalable particulate matter) to retrieve concentration of PM10 in SPOT 5 image of Beijing urban area acquired in 2007. It is shown that the spatial distribution trends of PM10 are basically identical between the retrieved result and the observed data. In 2007,PM10 pollution in northern part of Beijing urban area was more serious than that in southern part. The concentration of PM10 was relatively low near the greenbelt and water body,and was comparatively high around roads.
Keywords:SPOT image  DVI  PM10  Retrieve
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