利用EDS／MODIS交叉定标FY1D／VIRR可见光-近红外通道

以EOS/MODIS的星上定标结果为标准,采用交叉定标方法标定FY1D/VIRR的可见光-近红外通道。先获得两个传感器的配对通道,然后利用6S模式计算出他们的匹配因子,根据EOS/MODIS的观测敦煌辐射校正场扫描计数值和星上定标结果以及它和FY1D/VIRR的匹配因子计算出FY1D/VIRR同时观测敦煌辐射校正场时的表观辐亮度和表观反射率,最后将得到的表观辐亮度和表观反射率与FY1D/VIRR观测敦煌辐射校正场的计数值进行比较,就得到了FY1D/VIRR通道的绝对定标系数。将本次定标结果与敦煌场地定标试验的定标结果比较,定标结果一致性较好,并可用于对发射前定标偏差进行校正。     

Cross-calibration of brightness temperature obtained by FY-3B/MWRI using Aqua/AMSR-E data for snow depth retrieval in the Arctic

This study cross-calibrated the brightness temperatures observed in the Arctic by using the FY-3B/MWRI L1 and the Aqua/AMSR-E L2A. The monthly parameters of the cross-calibration were determined and evaluated using robust linear regression. The snow depth in case of seasonal ice was calculated by using parameters of the crosscalibration of data from the MWRI T_b. The correlation coefficients of the H/V polarization among all channels T_b of the two sensors were higher than 0.97. The parameters of the monthly cross-calibration were useful for the snow depth retrieval using the MWRI. Data from the MWRI T_b were cross-calibrated to the AMSR-E baseline.Biases in the data of the two sensors were optimized to approximately 0 K through the cross-calibration, the standard deviations decreased significantly in the range of 1.32 K to 2.57 K, and the correlation coefficients were as high as 99%. An analysis of the statistical distributions of the histograms before and after cross-calibration indicated that the FY-3B/MWRI T_b data had been well calibrated. Furthermore, the results of the cross-calibration were evaluated by data on the daily average T_b at 18.7 GHz, 23.8 GHz, and 36.5 GHz(V polarization), and at 89 GHz(H/V polarization), and were applied to the snow depths retrieval in the Arctic. The parameters of monthly cross-calibration were found to be effective in terms of correcting the daily average T_b. The results of the snow depths were compared with those of the calibrated MWRI and AMSR-E products. Biases of 0.18 cm to 0.38 cm were observed in the monthly snow depths, with the standard deviations ranging from 4.19 cm to 4.80 cm.     

CCD卫星相机时间序列定标:以CBERS02B为例

采用沙漠场景法、稳定目标法和交叉定标法对CBERS02B星的CCD相机开展时间序列定标,分别得到CCD相机2007-2008年期间三种方法对应的定标系数,并同CBERS02B卫星官方提供的定标系数进行比对.结果表明,三种方法得到的定标系数其误差均小于10%,不同方法的结果具有较好的一致性.最后,分析总结各种时间序列定标...     

传感器交叉辐射定标综述

 当前遥感应用逐渐从定性向定量化发展的趋势对辐射定标的可靠性提出了更高的要求。传统的场地替代定标法虽然定标精度较高,但是其对场地及测量过程有很严格的要求,能够提供的数据非常有限。交叉定标是国际上新近发展起来的一种无场地定标技术,它的应用弥补了场地定标的不足。对光线匹配交叉定标、光谱匹配交叉定标、基于辐射传输模型交叉定标以及基于瑞利散射交叉定标4种交叉定标方法原理进行了详细介绍,并针对每种方法分析了其适用性。     

针对GF-1遥感影像的基于影像与基于辐射传输模型的两种交叉定标方法比较

"高分一号"配置了4台16m分辨率多光谱宽幅(WFV)相机,组合观测幅宽达到800km。为了将其应用于定量遥感,需要对其进行精确的辐射定标。目前针对高分一号卫星有两种交叉定标方法,都在传统方法的基础上进行了改进。一种是基于影像的交叉定标方法(image-based),另一种是基于辐射传输模型和二向反射分布函数的交叉定标方法(RTM-BRDF)。本文采用这两种方法对高分一号(GF-1)的4个相机进行辐射定标,并对这两种方法进行了对比分析,发现对于WFV2和WFV3这两个近似星下点成像相机,image-based方法可以得到精度较高的辐射定标系数,而对于WFV1和WFV4这两个非星下点成像相机来说,RTM-BRDF方法得到的定标系数精度较高。因此,最终将两种方法结合给出GF-1 4个相机最终的定标系数。     

敦煌场地CBERS-02 CCD传感器在轨绝对辐射定标研究

对资源一号卫星02星（CBERS-02）,为深入其定量化分析,定期在敦煌绝对辐射校正场地进行了地面同步测量,开展了更新在轨绝对辐射定标研究。另外,运用地表反射率和大气光学特性参量数据,计算出CBERS-02CCD传感器4个波段的绝对辐射标定系数。同时,利用2004年8月25目的Landsat-5 TM图像数据对CBERS-02 CCD传感器的辐射特性进行交叉定标,验证分析了CBERS-02 CCD传感器场地绝对辐射定标的基本特性及其可靠性。另外,为CBERS后续星的传感器改进,提供了分析参量。     

高光谱红外谱段交叉定标与近海遥感应用试验

以MODIS红外谱段数据为基准,对高光谱红外谱段数据进行辐射交叉定标试验,同时运用高光谱红外谱段数据对近海海表水温进行了评估试验.交叉定标数据选取2012年—2013年冬、夏两季各一幅代表性图像,MODIS与高光谱红外谱段数据成像时间均为同一天白天.实验结果表明,天宫一号高光谱红外谱段数据与MODIS数据具有极好的相关性,相关系数R大于0.95;在此基础上建立了基于MODIS 32波段的辐亮度线性回归校正方程,并用于海表温度反演、检测自然与人工扰动造成的海表温度异常.基于校正数据反演的中国南北典型冬、夏代表性季节的海表温度与常识较为一致.由此表明,基于MODIS交叉定标的天宫一号数据可用于实际的业务化定量评估;同时,由于空间分辨率较高,天宫一号高光谱红外谱段数据在海水精细空间动态变化检测上表现出极好的性能.     

SeaWiFS与HY-1卫星COCTS的系统交叉辐射校正

海洋一号(HY-1)卫星是中国第一颗海洋环境遥感卫星。由于卫星上没有太阳定标装置,而且其上搭载的水色水温扫描仪(COCTS)一直存在漂移的问题,所以必须不断对其进行辐射校正,所述内容就是其辐射校正方法之一。美国宽视场水色扫描仪(SeaW iFS)提供了高精度的水色数据,如一类水体上的离水辐亮度及叶绿素浓度等被国际水色遥感界作为参照的基准。以SeaW iFS反演的归一化离水辐亮度和气溶胶参数对COCTS遥感器的辐射校正系数进行了系统校正。该方法可以对COCTS的定标系数进行长期监测。结果表明,校正后的COCTS水色数据产品精度得到了很大的提高。     

The importance of cross-calibration and protecting water temperature sensors against direct solar radiation heating in hydrological studies

ABSTRACT

Water temperature monitoring is important in many scientific studies. This study compares three models of water temperature sensors (Vemco Minilog II, HOBO TidbiT and HOBO Pendant) to test the importance of: (1) using cross-calibration to minimize relative errors, (2) using cross-calibration to improve on the accuracy of less accurate sensors, and (3) protecting sensors against direct solar radiation heating. The results show that when the same sensor models are cross-calibrated, the relative error can be reduced (Vemco: 0.01°C; HOBO TidbiT: 0.02°C; and HOBO Pendant: 0.07°C). Cross-calibration can also improve less accurate sensors (HOBO TidbiT and Pendant) to similar accuracies of Vemco (±0.1°C). Finally, no evidence of solar radiation heating was observed for Vemcos (unprotected); however, HOBO TidbiT and Pendant showed heating up to 2°C (maximum). When HOBO TidbiT and Pendant are shielded (flow-through system), heating is no longer an issue.