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基于SPOT影像的可吸入颗粒物遥感反演 被引量:6

The Retrieval of Inhalable Particulate Matter Based on SPOT Images
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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PM10浓度较低,道路附近PM10浓度较高。 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.
出处 《国土资源遥感》 CSCD 2011年第1期62-65,共4页 Remote Sensing for Land & Resources
基金 北京市自然科学基金重点项目(编号:KZ200910028006)资助
关键词 SPOT影像 差值植被指数 可吸入颗粒物 反演 SPOT image DVI PM10 Retrieve
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