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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation
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A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation

机译:Himawari-8 / AHI气溶胶提取的黑暗目标方法:应用和验证

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摘要

Himawari-8 (H8), as a geostationary satellite, observing the full disk image of the earth per 10 min, is a very powerful tool to investigate atmospheric aerosol temporal variations. The advanced himawari imager (AHI) onboard H8 has several spectral bands similar with those of Moderate Resolution Imaging Spectroradiometer (MODIS). Aerosol optical depth (AOD) is thus possible to be retrieved from AHI data using the dark target (DT) method of MODIS. Based on a statistics study of infrared bands of these two satellite instruments, we found that the difference of shortwave infrared bands between AHI ($2.3~mu ext{m}$) and MODIS ($2.12~mu ext{m}$) in DT area can be ignored for our purpose. Meanwhile, for AHI sensor, the normalized difference vegetation index (NDVI) calculated from$0.86~mu ext{m}$(instead of traditional$1.24~mu ext{m}$) and$2.3~mu ext{m}$can also be a good indicator of surface spectral reflectance. Therefore, first, a new NDVI of AHI sensor is proposed in this paper to improve the estimation of surface reflectance based on DT retrieval method. Then, AOD over DT area was retrieved using a lookup table strategy and tested based on AHI observation over China region from August 2015 to July 2016. All retrieved results are validated against ground-based measurements of the aerosol robotic network and the sun–sky radiometer observation network. The coincident AOD results between AHI retrieval- and ground-based network measurements show good agreements with$R^{2}$of 0.81. The intercomparison between AHI and MODIS DT AOD products also shows a good agreement with$R^{2}$of 0.92.
机译:作为对地静止卫星的Himawari-8(H8),每10分钟观察一次地球的完整磁盘图像,是研究大气气溶胶时间变化的非常强大的工具。机载H8上的先进的Himawari成像仪(AHI)具有与中分辨率成像光谱仪(MODIS)相似的几个光谱带。因此,可以使用MODIS的暗目标(DT)方法从AHI数据中检索气溶胶光学深度(AOD)。根据对这两种卫星仪器红外波段的统计研究,我们发现AHI( n $ 2.3〜 mu text {m} $ n)和MODIS( n $ 2.12〜 mu text {m} $ 出于我们的目的,可以忽略DT区域中的 n)。同时,对于AHI传感器,根据 n <在线公式xmlns:mml = “ http://www.w3.org/1998/Math/MathML ” xmlns:xlink = 计算出的归一化植被指数(NDVI) “ http://www.w3.org/1999/xlink"> $ 0.86〜 mu text {m} $ n(而不是传统的 n $ 1.24〜 mu text {m} $ n)和 n $ 2.3〜 mu text {m} $ n也是表面光谱反射率的良好指标。因此,首先,本文提出了一种新的AHI传感器的NDVI,以改进基于DT检索方法的表面反射率估计。然后,使用查找表策略检索DT区域上的AOD,并基于2015年8月至2016年7月在中国地区的AHI观察进行测试。所有检索到的结果均已通过对气溶胶机器人网络和太阳-天空辐射计的地面测量进行了验证观察网。 AHI检索和基于地面的网络测量之间的AOD结果一致,显示与 n $ R ^ {2} $ n为0.81。 AHI和MODIS DT AOD产品之间的比较也显示出与 n $ R ^ {2} $ nof 0.92 。

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  • 作者单位

    State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;

    State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;

    China Centre for Resources Satellite Data and Application, Beijing, China;

    School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China;

    State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;

    State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;

    College of Resources and Environment, Chengdu University of Information Technology, Chengdu, China;

    State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;

    State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;

    State Environmental Protection Key Laboratory of Satellite Remote Sensing Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;

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  • 正文语种 eng
  • 中图分类
  • 关键词

    Aerosols; MODIS; Satellite broadcasting; Sea surface; Land surface; Clouds;

    机译:气溶胶;MODIS;卫星广播;海面;陆地表面;云层;

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