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首页> 外文会议>Earth observing systems XVIII >Trend analysis of the aerosol optical depth over china using fusion of MODIS and MISR aerosol products via adaptive weighted estimate algorithm
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Trend analysis of the aerosol optical depth over china using fusion of MODIS and MISR aerosol products via adaptive weighted estimate algorithm

机译：基于自适应加权估计算法的MODIS和MISR气溶胶产品融合的中国气溶胶光学深度趋势分析。

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摘要

Atmospheric aerosol play an important role in the climate change, though direct and indirect processes. To evaluate the effects of aerosols on climate it is necessary to estimate their spatial and temporal distributions. Since 2000, the Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR) have been providing global aerosol products. However, the uncertainties still exist in current satellite aerosol products attributable to the complex surface, cloud contamination, and aerosol models used in the retrieving process. Comparing to AERONET AOD, the larger magnitude and different variation tendency in AOD for both sensors indicate that either individual aerosol product may not be good application over China. Combing multiple sensors is a method to reduce uncertainties and improve observational accuracy. An adaptive weighted estimate algorithm of multi-sensor data fusion was presented, which could adjust the fused sensor's weight in time according to the variation in sensor's variance. The combined AOD product using the fusion method is in better agreement with corresponding AOD from AERONET than single sensor, which illustrate the fusion method performs better applicability in China. The fusion method can reduce uncertainties both sensors and expand the scope of the distribution in AOD. Using the latest ten-year (2002-2010) fusion product, we study the trend analysis of the aerosol optical depth over typical regions in China. The increasing trend is found over Jingjintang and Yangtze River Delta, which are highly associated with human activities.
机译：大气气溶胶通过直接和间接过程在气候变化中发挥着重要作用。为了评估气溶胶对气候的影响，有必要估算气溶胶的时空分布。自2000年以来，中分辨率成像光谱仪（MODIS）和多角度成像光谱仪（MISR）一直在提供全球气溶胶产品。但是，目前的卫星气溶胶产品仍存在不确定性，这归因于复杂的表面，云污染以及在检索过程中使用的气溶胶模型。与AERONET AOD相比，两种传感器的AOD幅度更大且变化趋势不同，这表明任何一种单独的气雾剂产品可能都不适合在中国使用。组合多个传感器是一种减少不确定性并提高观测精度的方法。提出了一种自适应的多传感器数据融合加权估计算法，该算法可以根据传感器方差的变化及时调整融合传感器的权重。与单传感器相比，采用融合方法的AOD组合产品与AERONET的相应AOD具有更好的一致性，说明融合方法在中国具有更好的适用性。融合方法可以减少两个传感器的不确定性，并扩大AOD的分布范围。使用最新的十年（2002-2010）融合产品，我们研究了中国典型地区气溶胶光学深度的趋势分析。京津塘和长三角地区的增长趋势与人类活动高度相关。

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  • 来源
    《Earth observing systems XVIII》|2013年|88661X.1-88661X.8|共8页
  • 会议地点 San Diego CA(US)
  • 作者

    Jing Guo; Xingfa Gu; Tao Yu; Tianhai Cheng; Hao Chen; Donghai Xie;

  • 作者单位

    Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Demonstration Center for Spaceborne Remote Sensing, Chinese National Space Administration, Beijing, China;

    Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Demonstration Center for Spaceborne Remote Sensing, Chinese National Space Administration, Beijing, China;

    Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Demonstration Center for Spaceborne Remote Sensing, Chinese National Space Administration, Beijing, China;

    Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Demonstration Center for Spaceborne Remote Sensing, Chinese National Space Administration, Beijing, China;

    Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Demonstration Center for Spaceborne Remote Sensing, Chinese National Space Administration, Beijing, China;

    Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China,Demonstration Center for Spaceborne Remote Sensing, Chinese National Space Administration, Beijing, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    AOD; trend; MODIS; MISR; data fusion; adaptability; weighted factor; China;

    机译：AOD；趋势; MODIS; MISR;数据融合；适应性加权因子中国;

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