Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 6, pp. 251-263
Radiometric cross-calibration of shortwave channels of Multi-Channel Scanning Unit on board Meteor-M No. 2 relative to spectroradiometer AVHRR on board Metop-A
A.A. Filei
1 , A.N. Rublev
2 , A.A. Zaitsev
3 1 Planeta Far-Eastern Center of State Research Center for Space Hydrometeorology, Khabarovsk, Russia
2 Planeta State Research Center, Moscow, Russia
3 Joint Stock Company ”Russian Space Systems”, Moscow, Russia
Accepted: 19.10.2016
DOI: 10.21046/2070-7401-2016-13-6-251-263
In the work, we presented the results of radiometric cross-calibration of shortwave channels of Multi-Channel Scanning Unit (MSU-MR) on-board Meteor-M No. 2 relative to radiometer AVHRR on-board Metop-A. AVHRR measurements were chosen as a reference, because they are continually updated and have spectroscopic characteristics similar to the MSU-MR ones. A radiometric cross-calibration is needed to match the top of atmosphere reflectances (TOA reflectances) of both satellite instruments at the upper boundary of the atmosphere. For this purpose, desert test polygon areas were selected with constant climatic conditions, the time difference between the overflights of the two satellites was no more than an hour. Spectral characteristics of three short-wave channels of the two satellite instruments have some differences. To take them into account, the regression relationship between the three short-wave channels of the two satellite instruments were calculated in the visible and near-infrared wavelengths. The regression relationships were obtained as a result of reflection spectra simulation of the ‘surface – atmosphere’ system for a variety of viewing and sun illumination angles. The result is calculation of linear regression coefficients which provided a good agreement of the reflectance measurements in the three MSU-MR and AVHRR shortwave channels. The standard deviation of values of the linear regression coefficients did not exceed 0.013, and the coefficients differ from unity by no more than 4%.
Keywords: MSU-MR, AVHRR, radiometric calibration, TOA reflectance, the equivalent width of a spectral line
Full textReferences:
- Asmus V.V., Zagrebaev L.A., Makridenko O.E., Milekhin O.E., Solov'yev V.I., Uspensky A.B., Frolov A.V., Khaylov M.N., Sistema polyarno-orbital'nykh meteorologicheskikh sputnikov serii “Meteor-M” (The system of polar-orbiting meteorological satellite Meteor-M series), Meteorologiya i gidrologiya, 2014, No. 12, pp. 5–16.
- Zhukov B.S., Kondrat'yeva T.V., Polyanskiy I.V., Permitina L.I., Poletnaya radiometricheskaya kross-kalibrovka kompleksa mnogozonal'noy sputnikovoy s''emki na KA “Meteor-M” No. 1 po spektroradiometru MODIS na KA Terra (In-flight radiometric cross-calibration of Multispectral Satellite Imaging System on-board Meteor-M No. 1 relative to spectroradiometer MODIS on-board Terra), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 2, pp. 123–137.
- Kondrat'yeva T.V., Zhukov B.S., Polyanskiy I.V., Forsh A.A., Sopostavlenie koeffitsientov yarkosti prirodnykh ob''ektov po dannym KMSS na KA “Meteor-M” No. 1 i MODIS na KA “Terra” (Comparison of reflectances of natural objects from Meteor-M No. 1 Multispectral Satellite Imaging System and Terra MODIS spectroradiometer), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 1, pp. 215–224.
- Likhacheva M.V., Kopelevich O.V., Sheberstov S.V., Korrektsiya dannykh sputnikovogo skanera MODIS na solnechnyy blik bez ispol'zovaniya dopolnitel'nykh dannykh o skorosti vetra (Sun glint correction of data from satellite scanner MODIS with no ancillary information on wind speed), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2009, Vol. 1, pp. 421–428.
- Cracknell A.P., The Advanced Very High Resolution Radiometer, Taylor and Francis Ltd., London, 1997, 968 p.
- Datla R.U., Rice J.P., Lykke K.R., Johnson B.C., Best Practice Guidelines for Pre-Launch Characterization and Calibration of Instruments for Passive Optical Remote Sensing, Journal of Research of the National Institute of Standards and Technology, 2011, Vol. 116, No. 2, pp. 621–646.