Aerosol retrieval and atmospheric correction of HJ-1 CCD data over Beijing

doi:10.11834/jrs.20131373

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Aerosol retrieval and atmospheric correction of HJ-1 CCD data over Beijing
Vol. 17, Issue 1, Pages: 151-164(2013)
Published：2013
DOI： 10.11834/jrs.20131373
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[1]方莉,余涛,顾行发,王舒鹏,高军,刘其悦.北京地区HJ-1卫星CCD数据的气溶胶反演及在大气校正中的应用[J].遥感学报,2013,17(01):151-164. DOI： 10.11834/jrs.20131373.

Aerosol retrieval and atmospheric correction of HJ-1 CCD data over Beijing[J]. Journal of Remote Sensing, 2013, 17(1): 151-164. DOI： 10.11834/jrs.20131373.

摘要

与现有的大气卫星传感器相比

环境一号卫星（HJ-1）CCD相机具有较高的空间分辨率（30m）

使得在城市地区找到光谱纯像元的机率大大增加。本文提出一种基于纯像元提取的城市地区气溶胶光学厚度（AerosolOpticalDepth

AOD）反演算法

利用像元纯净指数来提取CCD影像上的纯像元

并由HJ-1A星和B星的多时相CCD观测数据结合地表双向反射率模型确定纯像元的地表反射特性

在此基础上反演AOD。与AERONET地基测量数据的对比表明

该算法具有较高精度

Abstract

Compared to moderate/low resolution satellite sensors for aerosol detection

the high spatial resolution of HJ-1 CCD camera（30 m） provides an opportunity to easily find spectrally pure pixels（SPP） over urban areas.In this study

we developed an SPP algorithm for urban Aerosol Optical Depth（AOD） retrieval using HJ-1 CCD data.Pixel Purity Index（PPI） is used to identify the pure pixels in the image.The surface reflectances of the pure pixels were estimated from the multi-temporal CCD measurements of HJ-1A and HJ-1B based on the surface Bi-directional Reflectance Distribution Function（BRDF） model.Then the AOD can be retrieved from satellite measurements.The comparison with ground-based AErosol RObotic NETwork AERONET AOD measurements shows good performance of our algorithm.A significant correlation coefficient with R=0.83 was obtained with a linear regression slope close to 1 and a intercept of 0.053.With the retrieved AOD as an input

HJ-1CCD data over urban areas was significantly improved after the atmospheric correction.