Vicarious Calibration of the Meteosat Visible Channel

Kriebel, K.T.; Amann, Volker

doi:10.1175/1520-0426(1993)010<0225:vcotmv>2.0.co;2

Cited by 22 publications

(11 citation statements)

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“…The geographical location of the central pixel of these areas is indicated in table 1. All the analysed areas correspond to desert soil targets, as usual in these studies (Kriebel and Amann 1993, Moulin et al 1996, Govaerts et al 1998, Lefèvre et al 2000. Desert soil targets are selected because of their great spatial homogeneity and because of the great stability of their re ectivity from year to year.…”

Section: Resultsmentioning

confidence: 99%

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Drift in the Meteosat-7 VIS channel calibration

Grau¹,

Torres²

2002

International Journal of Remote Sensing

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This letter describes the methodology used to determine the drift in the slope and intercept value of the linear calibration coe Y cients of the Meteosat-7 visible sensor using the time series of data for clear-sky desert and sea areas. Statistical analysis between July 1998 and October 2001 using noon visible imagery was made. The results show that the o V set of the calibration decreases throughout this period, also indicating a positive drift of about 1.9% per year in the slope of the calibration coe Y cient.

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Section: Resultsmentioning

confidence: 99%

“…Unlike the thermal infrared channel, the Meteosat visible channel is not calibrated on-board and previous calibrations for Meteosat VIS sensors are scarce (Koepke 1983, Brisson et al 1990, Kriebel and Amann 1993, Moulin et al 1996, Lefèvre et al 2000.…”

Section: Introductionmentioning

confidence: 99%

Drift in the Meteosat-7 VIS channel calibration

Grau¹,

Torres²

2002

International Journal of Remote Sensing

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“…Moreover, the sensor degrades with time, implying that operational updates of the calibration coefficient are required for reliable satellite measurements. Onboard calibrators, such as the solar diffuser, can be used for operational calibration (e.g., Barnes et al, 2000;Sakuma et al, 2005;, but satellites are not often equipped with these due to power, weight, and space restrictions (Kriebel and Amann, 1993). To compensate for the limitations of the onboard calibration system, vicarious methods are required to monitor sensor capability.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1R

Ham

Sohn

2010

Atmos. Chem. Phys.

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and MTSAT-1R visible channel reflectances. In the simulation, cloud three-dimensional (3-D) radiative effect associated with subgrid variations is taken into account using the lognormal-independent column approximation (LN-ICA) to minimize the simulation bias caused by the plane-parallel homogeneous assumption. Third, an independent method uses the typical optical properties of deep convective clouds (DCCs) to simulate reflectances of selected DCC targets.Although all three methods are not in perfect agreement, the results suggest that calibration coefficients of Meteosat-8/9 0.640-µm channels are underestimated by 6-7%. On the other hand, the calibration accuracy of MTSAT-1R visible channel appears to be variable with the target reflectance itself because of an underestimate of calibration coefficient (up to 20%) and a non-zero space offset. The results further suggest that the solar channel calibration scheme combining the Correspondence to: B. J. Sohn (sohn@snu.ac.kr) three methods in this paper can be used as a tool to monitor the calibration performance of visible sensors that are particularly not equipped with an onboard calibration system.

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“…For the WV and IR channels of the MVIRI instruments, different vicarious calibrations have been derived in order to reach this stability [1][2][3]. For the VIS channel, stable calibrations have been developed using known Earth targets like desert, ocean or convective clouds [4][5][6][7][8][9] or through satellite intercalibrations [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Spectral Aging Model Applied to Meteosat First Generation Visible Band

et al. 2014

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The Meteosat satellites have been operational since the early eighties, creating so far a continuous time period of observations of more than 30 years. In order to use this data for climate data records, a consistent calibration is necessary between the consecutive instruments. Studies have shown that the Meteosat First Generation (MFG) satellites suffer from in-flight degradation which is spectral of nature and is not corrected by the official calibration of EUMETSAT. Continuing on previous published work by the same authors, this paper applies the spectral aging model to a set of clear-sky and cloudy targets, and derives the model parameters for all six MFG satellites (Meteosat-2 to -7). Several problems have been encountered, both due to the instrument and due to geophysical occurrences, and these are discussed and illustrated here in detail. The paper shows how the spectral aging model is an improvement compared to the EUMETSAT calibration method with a stability of 1%-2% for Meteosat-4 to -7, which increases up to 6% for ocean sites using the full MFG time period.

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Vicarious Calibration of the Meteosat Visible Channel

Cited by 22 publications

References 0 publications

Drift in the Meteosat-7 VIS channel calibration

Drift in the Meteosat-7 VIS channel calibration

Assessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1R

Spectral Aging Model Applied to Meteosat First Generation Visible Band

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