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


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 1, pp. 50-64

Algorithm for reconstructing ocean surface temperature, near-surface wind speed and integral vapor content from MTVZA-GYa data

D.S. Sazonov 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 13.01.2022
DOI: 10.21046/2070-7401-2022-19-1-50-64
In this paper, we present a regression approach to the problem of reconstructing ocean surface temperature, surface wind speed, and integral vapor content from radiometric measurements of the MTVZA GYa microwave radiometer. A feature of the proposed approach is the use of cross terms in the regression equation. The paper provides a rationale for the choice of the regression ratio, the used set of radiometric channels and additional telemetry, and also reconstructs geoparameters on the basis of real measurements from space and makes a comparison with reanalysis. The results of the work showed that the geoparameters can be retrieved with an accuracy: vapor content <2.6 mm in the range of 0–60 mm; wind speed <1–2.5 m/s in the range of 0–20 m/s and SST <1.5–2.5 K all cases. The specified geoparameters are presented in the corresponding section (operating in test mode) of the Vega resource.
Keywords: remote sensing, MTVZA-GYa, geoparameters, ocean surface temperature, wind speed, integral vapor content, reconstruction algorithm
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