Li Jian, Chen Xiaoling, Tian Liqiao, Feng Lian
Opt Express. 2015 Jan 26;23(2):1829-47. doi: 10.1364/OE.23.001829.
The radiometric stability of satellite sensors is crucial for generating highly consistent remote sensing measurements and products. We have presented a radiometric responsivity tracking method designed especially for optical sensors without on-board calibration systems. Using a temporally stable desert site with high reflectance, the sensor responsivity was simulated using the Second Simulation of the Satellite Signal in the Solar Spectrum (6S) radiative transfer model (RTM) with information from validated MODIS atmospheric data. Next, radiometric responsivity drifting was identified using a linear regression of the time series bidirectional reflectance distribution function (BRDF) normalized coefficients. The proposed method was applied to Chinese HJ-1A/1B charge-coupled device (CCD) sensors, which have been on-orbit operations for more than 5 years without continuous assessment of their radiometric performance. Results from the Dunhuang desert site between 2008 and 2013 indicated that the CCD sensors degraded at various rates, with the most significant degradation occurring in the blue bands, ranging from 2.8% to 4.2% yr. The red bands were more stable, with a degradation rate of 0.7-3.1% yr. A cross-sensor comparison revealed the least degradation for the HJ-1A CCD1 (blue: 2.8%; green: 2.8%; red: 0.7%; and NIR: 0.9% yr), whereas the degradation of HJ-1B CCD1 was most pronounced (blue: 3.5%; green: 4.1%; red: 2.3%; and NIR: 3.4% yr). The uncertainties of the method were evaluated theoretically based on the propagation of uncertainties from all possible sources of the RT simulations. In addition, a cross comparison with matchup ground-based absolute calibration results was conducted. The comparison demonstrated that the method was useful for continuously monitoring the radiometric performance of remote sensors, such as HJ-1A/1B CCD and GaoFen (GF) series (China's latest high-definition Earth observation satellite), and indicated the potential use of the method for high-precision absolute calibration.
卫星传感器的辐射稳定性对于生成高度一致的遥感测量数据和产品至关重要。我们提出了一种专门为没有机载校准系统的光学传感器设计的辐射响应跟踪方法。利用一个具有高反射率的时间稳定的沙漠场地,通过太阳光谱中卫星信号的第二次模拟(6S)辐射传输模型(RTM),结合经过验证的MODIS大气数据信息来模拟传感器的响应。接下来,利用时间序列双向反射分布函数(BRDF)归一化系数的线性回归来识别辐射响应漂移。所提出的方法应用于中国的HJ-1A/1B电荷耦合器件(CCD)传感器,这些传感器已经在轨运行超过5年,却没有对其辐射性能进行持续评估。2008年至2013年敦煌沙漠场地的结果表明,CCD传感器以不同速率退化,其中蓝色波段退化最为显著,退化率在每年2.8%至4.2%之间。红色波段更稳定,退化率为每年0.7 - 3.1%。跨传感器比较显示,HJ-1A CCD1退化最少(蓝色:2.8%;绿色:2.8%;红色:0.7%;近红外:0.9%/年),而HJ-1B CCD1的退化最为明显(蓝色:3.5%;绿色:4.1%;红色:2.3%;近红外:3.4%/年)。基于RT模拟所有可能来源的不确定性传播,从理论上评估了该方法的不确定性。此外,还与匹配的地基绝对校准结果进行了交叉比较。比较结果表明,该方法对于连续监测HJ-1A/1B CCD和高分(GF)系列(中国最新的高分辨率对地观测卫星)等遥感传感器的辐射性能很有用,并表明该方法在高精度绝对校准方面的潜在用途。