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An enhanced dust index for Asian dust detection with MODIS images

机译:增强的灰尘指数,可通过MODIS图像进行亚洲灰尘检测

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摘要

An enhanced dust index (EDI) for Moderate Resolution Imaging Spectroradiometer (MODIS) solar reflectance bands is proposed that provides a means to detect the dust status of the atmosphere. The EDI utilizes only solar reflectance channels and may therefore be applied consistently to the entire MODIS time series records (1999 to present) for daytime dust observation, producing a higher spatial resolution (500 m) dust result than that from thermal-infrared records (1000 m), which were developed previously and are currently being used. The index introduces dust optical density (α), which can be simply estimated by spectral unmixing, into the normalized difference between reflectance at near-infrared (2.13 μm) and blue (0.469 μm). Dust severity can thus be rated from weak to severe within a standard range of -1 to 1. The index was applied to 11 typical dust events during 2000-2010 in East Asia, where it showed good coherence with meteorological station-observed visibility (R~2 = 0.7909, p < 0.05) and standardized visibility (R~2 = 0.7128, p < 0.05). Further comparison with the commonly used normalized difference dust index (NDDI) and brightness temperature difference (BTD) between MODIS bands 31 and 32 also indicated a better performance of the EDI in identifying the spatial and density distributions of dust. Previously applied satellite-based dust indices, particularly for the visible and near-infrared, can therefore be improved for a better quantification of dust aerosols.
机译:提出了一种用于中等分辨率成像光谱仪(MODIS)太阳反射带的增强的粉尘指数(EDI),它提供了一种检测大气粉尘状态的方法。 EDI仅利用太阳反射率通道,因此可以一致地应用于整个MODIS时间序列记录(1999年至今)以进行日间尘埃观测,比热红外记录(1000次)产生更高的空间分辨率(500 m)尘埃结果m),这些是先前开发的,目前正在使用。该指数将灰尘的光密度(α)引入到近红外(2.13μm)和蓝色(0.469μm)的反射率之间的归一化差中,可以通过光谱解混简单地对其进行估算。因此,尘埃严重程度可以从-1到1的标准范围从弱到严重进行分级。该指数适用于2000-2010年东亚的11次典型尘埃事件,在该事件中与气象站观察到的能见度具有很好的一致性(R 〜2 = 0.7909,p <0.05)和标准化可见度(R〜2 = 0.7128,p <0.05)。与MODIS波段31和32之间的常用归一化差异粉尘指数(NDDI)和亮度温度差异(BTD)的进一步比较还表明,EDI在识别粉尘的空间和密度分布方面具有更好的性能。因此,可以改善以前应用的基于卫星的尘埃指数,尤其是可见光和近红外的尘埃指数,以更好地量化尘埃气溶胶。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第20期|6484-6495|共12页
  • 作者单位

    State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China,Arid Land Research Centre, Tottori University, Tottori 680-0001, Japan;

    Arid Land Research Centre, Tottori University, Tottori 680-0001, Japan;

    Arid Land Research Centre, Tottori University, Tottori 680-0001, Japan;

    State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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