摘要
地球大气层外太阳光谱辐照度(extraterrestrial solar spectral irradiance,ESSI)数据是计算卫星传感器波段平均太阳辐照度(band mean solar irradiance,BMSI)的重要参数。为了探求利用何种来源的ESSI数据计算传感器BMSI更为准确,分别采用SBDART软件模拟的太阳光谱曲线数据、MODTRAN4.0 oldkur.dat文件数据、Thuillier太阳光谱曲线数据和WRC太阳光谱曲线数据计算了HJ-1A CCD1(B1—B4),CBERS-02 CCD(B1—B5),Landsat5TM(B1—B4)和ASTER(B1—B8)4种传感器的BMSI,并与传感器运营商公布的数据进行了比较。结果表明:利用SBDART和WRC太阳光谱曲线数据计算的结果误差较小;利用MODTRAN4.0 oldkur.dat数据计算的结果误差次之;利用Thuillier太阳光谱曲线的计算结果误差较大。
Extraterrestrial Solar Spectral Irradiance (ESSI) is an important parameter for calculating Band Mean Solar Irradiances (BMSI) of different satellites. In order to probe into the problem as to which ESSI dataset could acquire a more accurate BMSI result, the authors selected 4 ESSI datasets, namely SBDART simulated solar spectrum dataset, oldkur, dat dataset from MODTRAN4. 0, Thuillier solar spectrum dataset and WRC solar spectrum dataset, to calculate BMSI for HJ - 1A CCD1 (B1 - B4), CBERS -02 CCD (B1 - B5), Landsat5 TM (B1 - B4) and ASTER ( B1 - B8). A comparison was made between the calculated BMSI result and the BMSI result published by satellite operators. It is found that the calculated BMSI results using WRC solar spectrum dataset and SBDART dataset have a smaller error in comparison with published BMSI, followed by oldkur, dat, while the calculated BMSI results using Thuillier solar spectrum dataset have larger errors than other datasets.
出处
《国土资源遥感》
CSCD
北大核心
2012年第3期97-102,共6页
Remote Sensing for Land & Resources
基金
863国家高技术研究发展专项"月表物质成分类型的识别与定量反演技术研究"(编号:2010AA122203)
国家自然科学基金项目"高光谱遥感岩矿多维数据库关键技术研究"(编号:41072248)共同资助