DOI QR코드

DOI QR Code

In Orbit Radiometric Calibration Tests of COMS MI Infrared Channels

  • Received : 2011.04.30
  • Accepted : 2011.06.23
  • Published : 2011.06.30

Abstract

Since well-calibrated satellite data is critical for their applications, calibration and validation of COMS science data was one of the key activities during the IOT. COMS MI radiometric calibration process was divided into two phases according to the out-gassing of the sensor: calibrations of the visible (VI) and infrared (IR) channels. Different from the VIS calibration, the calibration steps for the IR channels followed additional processes to secure their radiometric performances. Primary calibration steps of the IR were scan mirror emissivity correction, midnight effect compensation, slope averaging and 1/f noise compensation after a nominal calibration. First, the scan mirror emissivity correction was conducted to compensate the variability of the scan mirror emissivity driven by the coating material on the scan mirror. Second, the midnight effect correction was performed to remove unreasonable high spikes of the slope values caused by the excessive radiative sources during the local midnight. After these steps, the residual (difference between the previous slope and the given slope) was filtered by a smoothing routine to eliminate the remnant random noises. The 1/f noise compensation was also carried out to filter out the lower frequency noises caused from the electronics in the Imager. With through calibration processes during the entire IOT period, the calibrated IR data showed excellent performances.

Keywords

References

  1. Chang, K-H., T-H. Oh, M-H. Ahn, N-S. Cho, and SN. Oh, 2007. Investigation of NESDIS's Calibration Algorithm of the Imagers for IR Channels on GOES-12. Korean Journal of Remote Sensing, 23(1): 55-58. https://doi.org/10.7780/kjrs.2007.23.1.55
  2. Chung, C-Y., H. K. Lee, H-J. Ahn, M. H. Ahn, and S. N. Oh, 2006. Developing the Cloud Detection Algorithm for COMS Meteorological Data Processing System. Korean Journal of Remote Sensing, 22(5): 367-372. https://doi.org/10.7780/kjrs.2006.22.5.367
  3. Ha, J-S., J-H. Kim, and H-J. Lee, 2006. The Detection of Yellow Sand with Satellite Infrared bands. Korean Journal of Remote Sensing, 22(5): 403-406. https://doi.org/10.7780/kjrs.2006.22.5.403
  4. Hong, K-O., M-S. Suh, and J-H. Kang, 2009. Improvement of COMS Land Surface Temperature Retrieval Algorithm. Korean Journal of Remote Sensing, 25(6): 507-515. https://doi.org/10.7780/kjrs.2009.25.6.507
  5. Ledez, C., 2008. COMS MI 1/f Noise Compensation Algorithm, Astrium EADS.
  6. Ledez, C., 2010. MI Radiometric Model, Astrium EADS.
  7. Seo, S-B., K-W. Jin, and S-I. Ahn, 2011. Scan mirror Emissivity Compensation for the COMS MI, Aerospace Engineering and Technology, 10(1), Korea Aerospace Research Institute, Daejeon, Korea(Accepted).
  8. Weinreb, M.P., 1996. Real-world calibration of GOES-8 and -9 sensors, Proc. SPIE, 2812: 572-586.
  9. Yoo, J-M., M-J. Jeong, H-L. Yoo, J-E. Rhee, Y-M. Hur, and M-H. Ahn, 2006. Fog Sensing over the Korean Peninsular Derived from Satellite Observation of MODIS and GOES-9. Korean Journal of Remote Sensing, 22(5): 373-377. https://doi.org/10.7780/kjrs.2006.22.5.373

Cited by

  1. COMS Geometric Calibration System and Its In-Orbit Functional and Performance Tests vol.27, pp.4, 2011, https://doi.org/10.7780/kjrs.2011.27.4.495
  2. Post-flight radiometric calibration of the Korean geostationary satellite COMS meteorological imager vol.50, pp.2, 2014, https://doi.org/10.1007/s13143-014-0008-7
  3. First retrieval of fire radiative power from COMS data using the mid-infrared radiance method vol.8, pp.2, 2011, https://doi.org/10.1080/2150704x.2016.1239283
  4. 분석툴을 이용한 천리안2A 기상탑재체 복사 보정 파라미터 검증 vol.36, pp.6, 2011, https://doi.org/10.7780/kjrs.2020.36.6.1.4