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Correction Procedure for MTVZA-GYa Data Georeference

  • METHODS AND TOOLS FOR PROCESSING AND INTERPRETING SPACE INFORMATION
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Abstract

A description of the approach is presented that allows one to control the quality of georeferencing of the MTVZA-GYa device and determine the optimal values of the correction parameters. The analysis of the data from this instrument showed that the main contribution to georeferencing errors is introduced by the roll, pitch, and yaw angles, which determine the discrepancy between the instrument coordinate system and the spacecraft coordinate system. In this regard, an iterative algorithm for selecting these angles was proposed where the difference in measurements on the ascending and descending half-turns of the MTVZA-GYa instrument was used as the minimizing function. As a result of applying this algorithm to the results of the MTVZA-GYa measurements in 2020, the mean values of the correction roll, pitch, and yaw angles of this device were calculated. The values were (–0.84 ± 0.15)° for the yaw angle, (–0.44 ± 0.14)° for the roll angle, and (+1.13 ± 0.05)° for the pitch angle. It was shown that the introduction of these angles into the MTVZA-GYa georeferencing procedure can significantly reduce its errors. Thus, the mean divergence of coastlines taken from the high-precision geographic databases and reconstructed from radiometric portraits when adjusting georeferencing is 4.5 km.

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ACKNOWLEDGMENTS

The authors thank: Komarova N.Yu. (SRI RAS) for assistance in preparing the materials of the work; A.M. Streltsov (Russian Space Systems Co.) for the timely and prompt provision of preprocessed MTVZA-GYa measurement data used in the work; A.A. Mazurov (SRI RAS) for useful discussion of the results.

Funding

This work was carried out with support from the Monitoring task (state registration no. 122042500031-8).

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Correspondence to I. N. Sadovsky.

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Translated by E. Morozov

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Sadovsky, I.N., Sazonov, D.S. Correction Procedure for MTVZA-GYa Data Georeference. Izv. Atmos. Ocean. Phys. 59, 1290–1300 (2023). https://doi.org/10.1134/S0001433823120198

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