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1 Bertrand Fougnie Patrice Henry, Sophie Lachérade, Philippe Gamet Processing team CNES-DCT/ME Synergic Calibration Crossing Multiple Methods GSICS Annual Meeting 4-8th March 2013, Williamsburg, VA
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Summary 2 Context CNES Calibration Tool Box Outlines advantage / drawbacks or limitations Application for PARASOL end-of-life reCalibration Application in the OCR-Virtual Constellation context Application to SEVIRI Synergic Calibration Crossing Multiple Methods
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3 Context In the past years, several calibration methods were developed using natural targets various calibration methods, different approaches operational configuration now available In the past years, several sensors provided extensive calibration time series a large experience has been developed on the use of each method a feedback exists on the real advantage and limitations
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4 CNES Calibration Tool Box (MUSCLE)
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5 SADE/Muscle – The Operational Arsenal Several calibration methods are operational Desert, Rayleigh, Sunglint, Cloud-DCC, Antarctica, Moon Deserts Rayleigh SunglintDomes DCCMoon
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6 SADE/Muscle – The Operational Arsenal Muscle / SADE (Tools) (Database)
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7 Outlines, strengths, limitations Some outlines, strengths, limitations Green = a very important advantage
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8 Outlines, strength, limitations Several calibration methods are operational Desert, Rayleigh, Sunglint, Cloud-DCC, Antarctica, Moon Each target has its own behavior : Magnitude: from very dark to very bright Spectral shape : from white to very pronounced Angular signature : from nearly uniform to large BRDF Polarized properties : from non-polarized to nearly fully polarized Short-term stability : from variable to fully stable Long-term stability : from seasonal variable to fully stable So efficiency range … Indicative behavior of targets
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9 Synergic : What does it mean ? So the observation is : Calibration methods are like “Bordeaux Wines” : every method is good but in fact, all the methods show limitations it is impossible to address all calibration/radiometric aspects (the so-called “system calibration”) with one single method Basic idea = develop the synergic use of several method in order to : take advantage of the complementarities of all method document the confidence from consistency between methods improve the “system calibration” when integrating various results assess radiometric aspects others that the absolute calibration “Indicative” cartography – range of efficiency for each method
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10 Application PARASOL end-of-life reCalibration
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11 The PARASOL Context Recent example#1 = PARASOL : bidirectional polarimeter : ± 50° wide fov optic + 2D focal plane 1400x2000km² up to 16 viewing directions 9 channels, and 3 polarized (490, 670, and 865nm) a “3M” concept Multi-directional + Multi-spectral + Multi-polarization No on-board calibration device in-flight calibration only based on natural targets (Fougnie et al., IEEE-TGARS, 2007 + 2009) Multi-method Synergic Approach Launched in dec-2004, on A-train up to end-2009 currently drifting, End-of-life in September 2013 3MI follow-on serie of instrument is expected on Post-EPS (~2018) 2000 km along-track 1400 km cross-track Satellite PARASOL image zenith viewing angle ⇒ No on-board calibration device
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12 PARASOL end-of-life reCalibration Synergic calibration for the in field-of-view evolution Clouds suppose the reference band is stable (765nm) Desert (reference = POLDER1) suggest it is not the case Rayleigh (absolute reference) confirm that for 75% of the coverage – sufficient to generalize Confirmed also for most of other bands Absolute calibration over Rayleigh Interband over DCC (ref=765) Intercalibration over desert (ref=POL1) Band 490nm The black hole from band 765nm Calibration result versus pixel on the CCD matrix Black hole – confirmed by Rayleigh Instrument-765 Bright banner – not confirmed method artefact
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13 PARASOL end-of-life reCalibration Synergic calibration for the temporal monitoring 670nm band aging model adjusted using clouds Validated over Rayleigh, Sunglint, Domes, Desert Not the same for 1020 nm band Calibration versus month
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14 PARASOL end-of-life reCalibration Synergic calibration for the calibration adjustment Confidence where consistency is observed : e.g. 865nm Investigation to be conducted when curious behavior are observed : e.g. 443nm Explanation to be provided when existing : e.g. 565nm, 765nm Remaining investigations to improve the results : e.g. 490nm, 670nm Final adjustment = best compromise (TBC) Still under investigation
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15 Application Ocean Color Virtual Constellation
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16 Ocean Color Virtual Constellation Recent example#2 : OCR-VC needs for calibration OCR-VC = still the same idea : toward a unified and homogeneous longer time series (+ global coverage) Mostly LEO, but GEO are coming »MODIS-Aqua »MERIS-Envisat »POLDER-PARASOL »SeaWiFS-SeaStar Apply as much as possible all methods to every sensors Multi-sensor Synergic approach (in addition to Multi-method) Current status of the implementations Fougnie et al., 2012, In-Flight Calibration of Space Sensors Through Common Statistical Vicarious Methods : Toward an Ocean Color Virtual Constellation, Ocean Optics XXI
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17 Ocean Color Virtual Constellation Recent example#2 : Very rich diagnostic comparisons Rayleigh/Sunglint/Desert-MODIS Very powerful validation for MERIS Behavior to be understood for PARASOL and SeaWiFS instrumental // algorithm parts To be enriched soon with additional results (methods and sensors)
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18 Application SEVIRI/MSG2
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19 Application to GEO Recent example#3 : Same approach for GEO sensor Rayleigh, Desert, Sunglint Under investigation »Presentation 4b on SEVIRI Calibration
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20 Final comments Cross different methods = a powerful diagnostic whatever the nominal calibration method a coverage of most of the system calibration aspects (absolute, angular, spectral, temporal, cross) A good consistency between multiple methods = a good confidence on the final calibration (nominal + validation) a “realistic” estimation of the final calibration accuracy (as if the theoretical evaluation of the error budget for the nominal cal method is excellent) no radiometric artifacts remain : such as non-linearity, straylight, offset, polarization, inside the field-of-view… Differences between results from methods = need investigation to understand why – radiometric artifact require a good knowledge of the instrumental characteristics The state of the art cannot be reached through only 1 method A good consistency between sensors AND for multiple methods = a very high level of confidence can be claimed
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