FY-3B微波成像仪资料的地理定位误差与订正  

Geolocation errors and correction of FY-3B microwave radiation imager measurements

作　　者：唐飞[1] 董慧杰[1] 李南[2] 刘彩虹[1] 

机构地区：[1]南京信息工程大学大气科学学院资料同化研究与应用中心,江苏南京210044 [2]南京信息工程大学大气物理学院,江苏南京210044

出　　处：《遥感学报》2016年第6期1342-1351,共10页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:91337218;41305031);公益性行业(气象)科研专项经费资助(编号:GYHY201406008;GYHY201306078)~~

摘　　要：风云3号B星(FY-3B)上的微波成像仪(MWRI)通过10.65 GHz,18.7 GHz,23.8GHz,36.5 GHz和189.0 GHz5个频率的双极化通道对地球表面进行监测。自卫星发射至今,MWRI资料的地理定位误差还未进行深入研究。为了提高FY-3B MWRI L1级数据地理定位精度,基于海、陆响应的升、降轨亮温差理论NDM(Node Differential Method),通过卫星位置和速度矢量建立卫星姿态模型、采用非线性最优化方法估计卫星姿态偏差,进而对MWRI 89 GHz通道的地理定位误差进行分析与订正。结果表明,2015年1—9月份俯仰、滚动和偏航角度的平均偏差分别为-0.220°,0.068°和0.062°,对应沿轨误差大约3—4 km,跨轨误差小于1 km。定位误差订正后,地中海、澳大利亚区域海岸线附近的升降轨亮温差明显减小;观测亮温在红海和南美洲东南部区域的分布和海岸线更加吻合,定位精度得到明显提高。The geolocation accuracy of meteorological satellites is a key factor in remote-sensing applications. The microwave radiation imager （MWRI） onboard the FengYun （FY）-3B satellite provides measurements of the Earth＇s atmosphere and surface at 10.65 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz with dual polarization. Although FY-3 MWRI data have been widely distributed to the user community, their geolocation accuracy must be corrected to render the MWRI data useful for quantitative remote sensing. To improve the geolocation accuracy of FY-3B MWRI measurements, a method based on the brightness temperature difference between the ascending and descending orbits is used in the conical scanning MWRI at the 89 GHz channel and called Node Differential Method （NDM）. The core principle of the geolocation error correction algorithm is minimizing the number of pixels along the coastlines, where the node difference in brightness temperature is greater than the threshold （20 K） and the distance from the coastlines near the Mediterranean Sea is less than 100 km. In this study, a satellite attitude model （satellite coordinate system） is established based on the vectors of the satellite posi- tion and velocity to estimate the satellite attitude angles, and a nonlinear optimization algorithm is used to minimize the objective function. This algorithm can avoid the effect of the tuning order of pitch, roll, and yaw in the traditional method. The satellite attitude offset （i.e., pitch, roll, and yaw） can be derived and further utilized to adjust the satellite attitude. After the satellite attitude angle correction, the geo- location errors in the MWRI at the89 GHz channel are corrected. Results show that the FY-3B MWRI at the 89 GHz channel has the mean offset of the satellite attitude, with the pitch, roll, and yaw angles from January to September of 2015 being -0.220~, 0.068~, and 0.062~, respectively. The mean geolocation error in the along-track direction is approximately 3-4 km, and that in the cros

关 键 词：微波成像仪 定位误差 升降轨亮温差 圆锥扫描 卫星姿态 非线性最优化 

分 类 号：P407.7[天文地球—大气科学及气象学]