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A retrieval algorithm for aerosol optical depth from MODIS multi-spatial scale data based on mutual information

机译:基于互信息的MODIS多尺度尺度数据气溶胶光学深度检索算法

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A retrieval algorithm for AOD from MODIS multi-spatial scale data with 1km × 1km, 500m × 500m and 250m × 250m resolution based on mutual information (MI) is proposed. The concept of mutual information represents a measure of relative entropy between two sets. In this algorithm, an interpolation formula based on the maximal MI which is used to transform low resolution image into high resolution image is constructed. Then, the AOD with 500m × 500m and 250m × 250m resolution which are over Heihe Watershed, in Gansu province, China, on 5th July, 2008 are retrieved from TERRA and AQUA MODIS data. Compared with the 500m × 500m AOD retrieved by multi-satellite algorithm directly, the AOD with 500m × 500m resolution got by the MI algorithm is coincident with absolute error between 0.02–0.03. Preliminary validation result comparing with AERONET measured data shows good accuracy and promising potential. The Further research work is ongoing.
机译:提出了一种基于互信息(MI)的MODIS多尺度数据,分辨率为1km×1km,500m×500m和250m×250m的AOD检索算法。互信息的概念表示两组之间的相对熵的量度。在该算法中,构造了基于最大MI的插值公式,该插值公式用于将低分辨率图像转换为高分辨率图像。然后,从TERRA和AQUA MODIS数据中,检索了2008年7月5日位于中国甘肃黑河流域的分辨率为500m×500m和250m×250m的AOD。与直接由多卫星算法获取的500m×500m AOD相比,MI算法获得的500m×500m分辨率的AOD与绝对误差在0.02–0.03之间。初步验证结果与AERONET测量数据进行比较,显示出良好的准确性和潜力。进一步的研究工作正在进行中。

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