ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 7, pp. 31-38

Radiometric cross-calibration of shortwave channels of Multi-Channel Scanning Unit-Geostationary of Elektro-L No. 2 satellite using Suomi NPP VIIRS measurements

A.A. Filei 1 , A.N. Rublev 2 , A.A. Zaitsev 3 
1 Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”, Khabarovsk, Russia
2 State Research Center “Planeta”, Moscow, Russia
3 JSC ”Russian Space Systems”, Moscow, Russia
Accepted: 01.12.2017
DOI: 10.21046/2070-7401-2017-14-7-31-38
In the work, we present the results of radiometric cross-calibration of shortwave channels of Multi-Channel Scanning Unit - Geostationary (MSU-GS) sensor on-board Electro-L No. 2 satellite by using Suomi NPP VIIRS measurements. VIIRS measurements have been chosen as a reference because they are continually updated and are similar to the MSU-GS in spectroscopic characteristics. Radiometric cross-calibration compares a top of atmosphere reflectance (TOA reflectance) of both satellite instruments at the upper boundary of the atmosphere. For this purpose test polygon areas of deep convective clouds (DCC) were selected. The infrared channel of VIIRS at a wavelength of 11 microns with the 205 K threshold was used for DCC identification. The MSU-GS and VIIRS data received from April to August 2017 were used in the calibration. The difference in time between the sessions of Electro-L No. 2 and Suomi NPP satellites did not exceed 15 minutes. The differences of spectral characteristics of the shortwave channels of the two satellite instruments were taken into account using the radiative simulation.
Keywords: MSU-GS, VIIRS, DCC, Electro-L, radiometric calibration, TOA reflectance
Full text


  1. Anderson G.P., Chetwynd J.H., Clough S.A., AFGL Atmospheric Constituent Profiles (0–120 km), 1986, 43 p.
  2. Baum B.A., Heymsfield A.J., Yang P., Bedka S.T., Bulk scattering models for the remote sensing of ice clouds. Part I: Microphysical data and models, Journal of Applied Meteorology and Climatology, 2005, Vol. 44, pp. 1885–1895, DOI: 10.1175/JAM2308.1.
  3. Baum B.A., Yang P., Heymsfield A.J., Platnick S., King M.D., Hu Y-X., Bedka S.T., Bulk scattering models for the remote sensing of ice clouds. Part II: Narrowband models, Journal of Applied Meteorology and Climatology, 2005a, Vol. 44, pp. 1896–1911, DOI: 10.1175/JAM2309.1.
  4. Chen L., Hu X., Xu N., Zhang P., The Application of Deep Convective Clouds in the Calibration and Response Monitoring of the Reflective Solar Bands of FY-3A/MERSI (Medium Resolution Spectral Imager), Remote Sensing, 2013, Vol. 5, Issue 12, pp. 6958–6975, DOI: 10.3390/rs5126958.
  5. Doelling D.R., Morstad D.L., Bhatt R., Scarino B., Algorithm Theoretical Basis Document (ATBD) for Deep Convective Cloud (DCC) Technique of Calibrating GEO Sensors with Aqua-MODIS for GSICS, 2011, 11 p.
  6. Doelling D.R., Nguyen L., Minnis P., On the use of deep convective clouds to calibrate AVHRR data, Proc. SPIE 49th Ann. Mtg., Earth Observing Systems IX Conf., 2004, 10 p., DOI: 10.1117/12.560047.
  7. Luo Z., Liu G.Y., Stephens G.L., CloudSat adding new insight into tropical penetrating convection, Geophysical Research Letters, 2008, Vol. 35, Issue 19, 14 p., DOI: 10.1029/2008GL035330.
  8. Mu Q., Wu A., Xiong X., Doelling D.R., Angal A., Chang T., Bhatt R., Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands, Remote Sensing, 2017, Vol. 9, Issue 6, 22 p., DOI: 10.3390/rs9060535.
  9. Ricchiazzi P., Yang S., Gautier C., Sowle D., SBDART: A research and teaching software tool for plane-parallel radiative transfer in the Earth’s atmosphere, Bulletin of the American Meteorological Society, 1998, Vol. 79, Issue 10, pp. 2101–2114, DOI: 10.1175/1520-0477(1998)079<2101:SARATS>2.0.CO;2.
  10. Sohn B.-J., Ham S.-H., Yang P., Possibility of the visible-channel calibration using deep convective clouds overshooting the TTL, Journal of Applied Meteorology and Climatology, 2009, Vol. 48, pp. 2271–2283, DOI: 10.1175/2009JAMC2197.1.
  11. Sohn B.-J., Choi M.-J., Ryu J., Explaining darker deep convective clouds over the western Pacific than over tropical continental convective regions, Atmospheric Measurement Techniques, 2015, Vol. 8, pp. 4573–4585, DOI: 10.5194/amt-8-4573-2015.