Data intercalibration technique for infrared channels of the Elektro-L/MSU-GS imager with the AIRS infrared sounder data

Kiseleva, Yu. V.; Gektin, Yu. M.; Zaytsev, A.A.; Kuharsky, A.V.; Rublev, A. N.; Uspensky, A. B.

doi:10.1134/s0001433816090140

Cited by 3 publications

(4 citation statements)

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“…SEVIRI/Meteosat-10 imager was chosen as a reference instrument. The numbers of the MSU-GS and SEVIRI channels, their central wavelengths, and spectral ranges of the channels are similar (Andreev et al, 2015;Kiseleva et al, 2016). This SEVIRI/Meteosat-10 had been previously used in Kiseleva et al (2016) to test the inter-calibration of the IR channels of the older imager onboard Elektro-L No.…”

Section: Introductionmentioning

confidence: 98%

“…In this case, the reference instruments is installed on a Low-Earth-Orbit (LEO) satellite. The results of inter-calibration for imager MSU-GS, installed on the first satellite of the series Elektro-L, using GEO-LEO scheme are presented in Kiseleva et al (2016). The data of IR channels of the MSU-GS imager were compared with the data of the Atmospheric Infra-Red Sounder (AIRS, Gunshor et al, 2009) that is one of the GSICS reference instruments installed onboard the LEO satellite EOS/Aqua.…”

Section: Introductionmentioning

confidence: 99%

“…2 to determine the daily and inter-day variance of AF in different ranges of the measured BT and to reveal the causes of this variance, it was necessary to ensure frequent inter-calibration of the MSU-GS channels. The use of the methodology (EUMETSAT, 2016;Kiseleva et al, 2016) or similar ones based on the GEO-LEO scheme allows for inter-calibration only twice daily. This frequency is not sufficient to set the parameters of the AF daily changes or to verify their stability.…”

Section: Introductionmentioning

confidence: 99%

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Inter-calibration of Infrared Channels of Geostationary Meteorological Satellite Imagers

Rublev

Gorbarenko

Golomolzin

et al. 2018

Front. Environ. Sci.

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This article examines a method of inter-calibration for MSU-GS imager of the Russian Geostationary Earth Orbit (GEO) satellite Elektro-L No. 2. Since the launch (December 11, 2015), the satellite's radiation cooler has been operating in an abnormal mode, so the calibration of the IR channels of the MSU-GS imager differed from that pre-flight and, in general, could have a daily variability. To ensure the satellite's further operation in orbit, it was necessary to calibrate imager channels at a frequency that would allow to identify daily calibration course to detect and compensate its sources. In order to do this, we have developed a special method of GEO-GEO inter-calibration. The calibration of MSU-GS was performed using SEVIRI imager installed on the GEO satellite Meteosat-10. SEVIRI was chosen as a reference instrument because its spectral channels are similar to those of MSU-GS. The MSU-GS was calibrated according to the regressions calculated from the simultaneous images of the field of regard selected between the sub-satellite points. The dynamic brightness temperature range was determined by deep convective clouds in high troposphere and warm ocean surface. Using the proposed method of inter-calibration, it was possible to confirm the absence of a significant daily variation of the calibration since November 2017. The amplitude of the variation smoothly increases from ∼0.2 K at high (∼300 K) BTs to ∼1.0 K when the brightness temperature decreased to 200 K. These estimates allow the use of the Fourier spectrometer IKFS-2 installed on the Russian Low-Earth-Orbit (LEO) satellite Meteor-M No. 2 to verify the developed GEO-GEO scheme of inter-calibration. Despite the specifics of the situation on board Elektro-L No. 2, the proposed method of GEO-GEO inter-calibration can be applied to radiometers of other neighboring satellites that differ in SSP and spatial resolution.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Inter-calibration of Infrared Channels of Geostationary Meteorological Satellite Imagers

Rublev

Gorbarenko

Golomolzin

et al. 2018

Front. Environ. Sci.

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“…The study of its detection mechanism and application fields has received a lot of attention from scholars. The current research content on infrared imaging detection technology mainly focuses on the design of infrared imager systems, applied excitation method, and infrared image processing and applicability [15][16][17]. In the application of infrared imaging inspection technology, Xu Hongguo [18] used infrared imaging and temperature sensor monitoring equipment to detect concrete defects and established a nondestructive concrete inspection method based on infrared thermography.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Uniformity of Protective Coatings on Concrete Structure Surfaces Based on Cluster Analysis

Liu

Zhang

Tang

et al. 2021

Sensors

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With the continuous development of urbanization and industrialization in the world, concrete is widely used in various engineering constructions as an engineering material. However, the consequent problem of durability of concrete structures is also becoming increasingly prominent. As an important additional measure, a protective coating can effectively improve the durability of concrete performance. Moreover, the uniformity of the concrete surface coating will directly affect its protective effect. Therefore, we propose a nondestructive inspection and evaluation method of coating uniformity based on infrared imaging and cluster analysis for concrete surface coating uniformity detection and evaluation. Based on the obtained infrared images, a series of processing and analysis of the images were carried out using MATLAB software to obtain the characteristics of the infrared images of the concrete surface. Finally, by extracting the temperature distribution data of the pixel points on the concrete surface, an evaluation method of concrete surface coating uniformity based on a combination of cluster analysis and hierarchical analysis was established. The evaluation results show that the determination results obtained by this method are consistent with the actual situation. This study has a positive contribution to the testing of concrete surface coating uniformity and its evaluation.

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Russian Investigations in the Field of Atmospheric Radiation in 2015–2018

Timofeev

Shul’gina

2020

Izv. Atmos. Ocean. Phys.

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Data intercalibration technique for infrared channels of the Elektro-L/MSU-GS imager with the AIRS infrared sounder data

Cited by 3 publications

References 5 publications

Inter-calibration of Infrared Channels of Geostationary Meteorological Satellite Imagers

Inter-calibration of Infrared Channels of Geostationary Meteorological Satellite Imagers

Evaluation of the Uniformity of Protective Coatings on Concrete Structure Surfaces Based on Cluster Analysis

Russian Investigations in the Field of Atmospheric Radiation in 2015–2018

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