基于HJ-1-CCD数据的地表反射率反演与验证  

Retrieval and Validation of the Surface Reflectance Using HJ-1-CCD Data

作　　者：李莘莘[1] 陈良富[1] 陶金花[1,2] 韩冬[1] 王中挺[3] 贺宝华[1] 

机构地区：[1]中国科学院遥感应用研究所遥感科学国家重点实验室,北京100101 [2]大气边界层物理与大气化学国家重点实验室,北京100029 [3]环境保护部卫星环境应用中心,北京100094

出　　处：《光谱学与光谱分析》2011年第2期516-520,共5页Spectroscopy and Spectral Analysis

基　　金：国家(863计划)重大项目(2006AA06A303);中国科学院知识创新工程重大项目(kzcx1-yw-06-01);国家科技支撑计划项目(2008BAC34B04-1)资助

摘　　要：环境一号卫星CCD相机(HJ-1-CCD)30m的空间分辨率在地物识别中具有潜在优势,然而由于缺少短波红外通道,利用暗像元法反演地表反射率较为困难。基于北京与珠三角地区的地物光谱试验,获得暗像元的植被指数与红、蓝波段反射率比值,构建基于辐射传输模型的大气校正算法。为了验证算法精度,将北京地区卫星反演值与实测的草坪、水体、沥青、水泥等光谱数据,以及居民区、建筑物等模拟数据进行对比分析,表明红、蓝波段反演的相对误差分别控制在38.7%和37.2%以内。通过与MODIS地表反射率标准产品对比,当反射率较小时红、蓝波段的相关性R2分别达到0.809 4和0.723 9;环境星CCD数据能有效减弱混合像元影响,对水泥、建筑物等亮目标的反演精度高于MODIS产品。The potentiality of the retrieval of surface reflectance using CCD camera aboard HJ-1A/B satellite was studied.It is very difficult to use dark targets in atmospheric correction due to the lack of near infrared band.The alternative normalized difference vegetation index（NDVI） and the red/blue reflectance ratio are detected from the spectral experiment in Beijing and the Pearl River Delta.Ground-based spectral data including grass,dense vegetation,water body,soil,residential roof and bright building etc.were used to validate the surface reflectance in Beijing,and the relative error in red,blue band is under 38.7% and 37.2% respectively.Uncertainties of the surface reflectance retrievals were analyzed.The comparison of MODIS surface reflectance product showed that there is a good agreement in the dense targets,and the correlation coefficient（R2） in red,blue band is as high as 0.809 4 and 0.723 9 respectively.HJ-1-CCD data can effectively reduce pixel-mixed impact on the cement roof and bright buildings,and the inversion accuracy is higher than MODIS products.

关 键 词：HJ-1-CCD MODIS 地表反射率 光谱分析 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]