Study on Orbit Radiometric Calibration for FY-2 Visible Band based on Deep Convective Cloud
CHEN Lin1, 2, XU Na1, 2, HU Xiu-qing1, 2*, LU Feng1, 2, ZHANG Peng1, 2
1. National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China 2. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China
Abstract：A radiometric calibration method is described in this paper by using the deep convective clouds (Deep Convective Cloud, DCC) target for FY-2 visible channel. The deep convective cloud can be used as the radiometric calibration transfer object. The on-operational FY-2 radiometric calibration bias and the long-term degradation trend are evaluated according to the AQUA/MODIS instrument as the baseline of radiometric reference and DCC. The results show that: (1) There are different degrees of degradation for FY-2D, FY-2E and FY-2F, among which FY-2D has the biggest degradation due to the longest period. The annual rates of degradation for FY-2D and FY-2E are quite similar, 1.67% and 1.69% respectively, whereas the rate for FY-2F is lower with 0.81%; (2) During the period of satellite eclipse, the instruments are not stable and this phenomenon could be detected by the DCC method;(3) There are bias in the the operational radiometric calibration between FY-2 and AQUA/MODIS, which is treated as the the radiometric reference usually. The radiometric calibration method based on DCC could work well in the radiometric calibration for FY-2. The results will help us to understand the degradation of instrument and for quantitative application usage.
[1] CHEN Fu-chun, CHEN Gui-lin(陈富春，陈桂林). Chinese Journal of Quantum Electronics(量子电子学报), 2007, 24(6): 709. [2] GUO Qiang, CHEN Bo-yang, ZHANG Yong, et al(郭 强，陈博洋，张 勇, 等). Advances in Meteorological Science and Technology(气象科技进展)，2013，3(6): 6. [3] XU Na, HU Xiu-qing, CHEN Lin, et al(徐 娜，胡秀清，陈 林，等). J. Infrared Millim. Waves(红外与毫米波学报)，2012，31(4)：319. [4] XU Na, CHEN Lin, HU Xiu-qing, et al(徐 娜，陈 林，胡秀清，等). J. Infrared Millim. Waves(红外与毫米波学报)，2013，32(4): 337. [5] Hu Xiuqingu, Xu Na, Weng Fuzhong, et al. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(10): 5008. [6] RONG Zhi-guo, ZHANG Yu-xiang, QIU Kang-mu, et al(戎志国, 张玉香, 邱康睦，等). Quarterly Journal of Applied Meteorology(应用气象学报), 2004, 15(3): 266. [7] LI Yuan, ZHANG Yong, LIU Jing-jing, et al(李 元, 张 勇, 刘京晶，等). Acta Optica Sinica(光学学报), 2009, 29(1): 41. [8] Hu Y, Wielicki B A, Yang P, et al. IEEE Transactions on Geoscience and Remote Sensing，2004, 42(11)：2594. [9] Doelling D R，Daniel M，Benjamin R S，et al. IEEE Transactions on Geoscience and Remote Sensing, 2013, 47(3)：1147. [10] Goldberg M, Ohring G, Butler J，et al. Bull. Amer. Meteor. Soc., 2011, 92(4)：467. [11] LIU Yu-jie, YANG Zhong-dong(刘玉洁, 杨忠东). Process Principle and Algorithom for MODIS Remote Sensing(MODIS遥感信息处理原理与方法). Beijing: Science Press(北京: 科学出版社), 2001. [12] Xiong X, Sun J, Barnes W，et al. IEEE Transactions on Geoscience and Remote Sensing, 2007，45(4): 879. [13] Xiong X, Sun J, Xie X，et al. IEEE Transactions on Geoscience and Remote Sensing，2010, 48(1): 535. [14] Wu A, Xiong X, Doelling D R，et al. IEEE Trans. Geosci. Remote Sens., 2013, 51(6): . [15] Chen L, Hu X, Xu N, et al. Remote Sensing, 2013, 5(12): 6958. [16] Chen L, Xu N, Li Y, et al. SPIE Asia-Pacific Remote Sensing, Beijing, China, 2014. 9264. [17] Xu N, Chen L, Hu X Q, et al. SPIE Asia-Pacific Remote Sensing, Beijing, China, 2014. 9264. [18] XU Na, HU Xiu-qing, CHEN Lin, et al(徐 娜，胡秀清，陈 林，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2014，34(12): 3429.
