Interannual sensitivity trend of the cameras of the multispectral satellite imaging system KMSS-M on Meteor-M No. 2 spacecraft based on the in-flight calibration in 2015–2020

Zhukov, B.; Kondratieva, T.V.; Polyanskiy, I.V.

doi:10.21046/2070-7401-2021-18-1-53-60

Cited by 2 publications

(5 citation statements)

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“…The Meteor-M #2 meteorological satellite, which carries the KMSS-M instrument (an acronym for «Multispectral Satellite Imaging System», see Abbreviations), was launched on 8 July 2014 and placed on a sun-synchronous orbit at an altitude of about 830 km [2]. The KMSS-M includes two optical cameras, designated MSU-201 and MSU-202.…”

Section: Introductionmentioning

confidence: 99%

“…The KMSS-M includes two optical cameras, designated MSU-201 and MSU-202. The cameras were designed for measurements in three spectral bands-green (0.535-0.575 µm), red (0.630-0.680 µm), and near-infrared (0.760-0.900 µm) with a spatial resolution of 60 m and a swath width of about 960 km with both cameras [2] (Table 1). Meteor-M #2.2 was launched on 5 July 2019 with the KMSS-2 instrument onboard [1].…”

Section: Introductionmentioning

confidence: 99%

“…of 60 m and a swath width of about 960 km with both cameras [2] (Table 1). Meteor-M # 2.2 was launched on 5 July 2019 with the KMSS-2 instrument onboard [1].…”

Section: Introductionmentioning

confidence: 99%

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Accuracy Assessment of Atmospheric Correction of KMSS-2 Meteor-M #2.2 Data over Northern Eurasia

Plotnikov,

Kolbudaev,

Matveev

et al. 2023

Remote Sensing

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Atmospheric correction of satellite remote sensing data is a prerequisite for a large variety of applications, including time series analysis and quantitative assessment of the Earth’s vegetation cover. It was earlier reported that an atmospherically corrected KMSS-M (Meteor-M #2) dataset was produced for Russia and neighboring countries. The methodology adopted for atmospheric correction was based on localized histogram matching of target KMSS-M and MODIS reference gap-free and date-matching imagery. In this paper, we further advanced the methodology and quantitatively assessed Level-2 surface reflectance analysis-ready datasets, operatively produced for KMSS-2 instruments over continental scales. Quantitative assessment was based on accuracy, precision, and uncertainty (APU) metrics produced for red and near-infrared bands of the KMSS-2 instrument based on a reference derived from a MODIS MOD09 reconstructed surface reflectance. We compared error distributions at 5%, 20%, and 50% levels of cloudiness and indicated that the cloudiness factor has little impact on the robustness of the atmospheric correction regardless of the band. Finally, the spatial and temporal gradients of accuracy metrics were investigated over northern Eurasia and across different seasons. It was found that for the vast majority of observations, accuracy falls within the −0.010–0.035 range, while precision and uncertainty were below 0.06 for any band. With the successful launch of the most recent Meteor-M #2.3 with a new KMSS-2 instrument onboard, the efficiency and interoperability of the constellation are expected to increase.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accuracy Assessment of Atmospheric Correction of KMSS-2 Meteor-M #2.2 Data over Northern Eurasia

Plotnikov,

Kolbudaev,

Matveev

et al. 2023

Remote Sensing

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“…Meteor-M No. 2 meteorological satellite, which carries KMSS-M instrument (acronym for multispectral satellite imagery complex), was launched on July 8, 2014 and placed on sunsynchronous orbit at an altitude of about 825 km [1]. The KMSS-M consists of two cameras, designated MSU-201, MSU-202, and one additional camera, designated MSU-250.…”

mentioning

confidence: 99%

“…In this study we focus on data acquired by two multispectral cameras MSU-201 (2). The cameras are optimized for land monitoring and operate in three spectral bands -green (0.535-0.575 microns), red (0.630-0.680 microns) and near infrared (0.760-0.900 microns) with a spatial resolution of about 60 meters, the formed viewing band from two cameras is about 960 km [1]. The CCD elements of the corresponding spectral channels are separated in the focal plane in the direction of satellite's orbital motion, which leads to interband parallax, evident on elevated objects such as clouds, mountain peaks, as well as to a time lag between recording one objects' reflectance in different spectral bands.…”

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confidence: 99%

The methods and automatic technology aimed at imagery georeferencing, cloud screening, atmospheric and radiometric correction of KMSS-M satellite data

et al. 2021

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In this study we present methods and automatic technology developed for routine processing of satellite imagery acquired by cameras MSU-201 and MSU-202 (KMSS-M) onboard Meteor-M №2. The developed methods were aimed at imagery georeferencing issues fixing, clouds and shadows detection as well as atmospheric and radiometric correction. Basing on these methods we built an automatic technology and complete KMSS-M data processing chain which provided analysis ready dataset for Russian grain belt and adjacent areas of neighboring countries for the year 2020. Method for imagery georeferencing was based on Pearson’s correlation localized maximization when compared to the georefenced and cloudfree coarse-resolution reference image produced in IKI RAS through MOD09 product time series processing. Method for clouds and shadows detection was based both on the spatial analysis of outputs from geocorrection step and auxiliary image, characterizing georeferenced KMSS-M image values relative accordance with the IKI reference image. The atmospheric correction was based on localized histogram matching of KMSS-M and IKI reference date-corresponding imagery, and thereby concurrently performed radiometric correction of KMSS-M data, compensating effects of varying viewing and illumination geometry which explicitly manifest across 960-km-wide swath area. The developed methods are noticeably minimalistic, requiring only one target spectral band to perform properly. Due to high flexibility and robustness, they also may be applied to raw satellite imagery acquired from various Earth observation systems, including Russian systems of high and moderate spatial resolution. The technology is currently being deployed in an operative mode for several test sites of Russia since the year 2021 onwards.

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Interannual sensitivity trend of the cameras of the multispectral satellite imaging system KMSS-M on Meteor-M No. 2 spacecraft based on the in-flight calibration in 2015–2020

Cited by 2 publications

References 0 publications

Accuracy Assessment of Atmospheric Correction of KMSS-2 Meteor-M #2.2 Data over Northern Eurasia

Accuracy Assessment of Atmospheric Correction of KMSS-2 Meteor-M #2.2 Data over Northern Eurasia

The methods and automatic technology aimed at imagery georeferencing, cloud screening, atmospheric and radiometric correction of KMSS-M satellite data

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