System Level Approach to Characterization and Radiometric Calibration of Space Based Electro-Optical Sensors Joe Tansock, Alan Thurgood, Mark Larsen Space Dynamics Laboratory Joe.Tansock@sdl.usu.edu 435-797-4369 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 1 Outline • Philosophy – What is meant by a complete calibration • Planning • Subsystem/Component Measurements • Sensor-Level Engineering Calibration • Sensor-Level Calibration – Facilities – Data Collection • On-Orbit Calibration 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 2 Calibration Philosophy – Complete Cal • A complete sensor calibration: – Provides a thorough understanding of sensor operation and performance – Verifies a sensor’s readiness for flight – Verifies requirements and quantifies radiometric and goniometric performance – Converts sensor output to engineering units that are compatible with measurement objectives – Provides traceability to appropriate standards – Estimates measurement uncertainties 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 3 Calibration Philosophy – Cal Domains • A complete calibration will address five responsivity domains: – Radiometric responsivity • • • • Radiance and irradiance traceable to NIST Response linearity and uniformity corrections Nominal/outlying pixel identification Transfer calibration to internal calibration units – Spectral responsivity • Sensor-level relative spectral response – Spatial responsivity • Point response function, effective field of view, optical distortion, and scatter – Temporal • Short, medium, and long-term repeatability, frequency response – Polarization • Polarization sensitivity 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 4 Calibration Philosophy – Cal Domains • The goal of calibration is to characterize each domain independently – Together, these individually characterized domains comprise a complete calibration of a radiometric sensor • Domains cannot always be characterized independently – Complicates and increases calibration effort – Example: Spectral spatial dependence caused by Stierwalt effect • Calibration parameters are grouped into two convenient categories: – Calibration equation • Converts sensor output (counts, volts, etc.) to engineering units – Radiometric model • All parameters not included in calibration equation but required for complete calibration 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 5 Calibration Philosophy – Cal Equation Typical Radiance (Extended Source) Calibration Equation for Imaging Array Based Radiometer 1 1 BkGI FNL,k (rT ,k ,t rO,k ,t ) rB,k ,t LM ,k,t rk,t FFF,k FFF,k,t LL,t LL,t LM ,k ,t Measured Radiance [W/cm 2sr] L Array-average peak-radiance responsivity [counts per W/cm 2sr] L ,t Array-average peak-radiance responsivity change vs. time [unitless] rk ,t Corrected detector response [counts] Bk Bad detector mask function [unitless] GI Gain or integration normalization factor [unitless] FNL,k Nonlinearity correction function [counts] rT ,k ,t Raw detector response [counts] rO , k ,t Detector offset correction [counts] rB , k ,t Linearity corrected response due to telescope thermal emission [counts] FFF , k Flat-fielding or non-uniformity coefficient [unitless] FFF , k ,t Flat-fielding or non-uniformity coefficient change vs. time [unitless] 2-5 December 2003 k Detector index - parameter is unique to each detector t Time - parameter varies as a function of time International Workshop on Radiometric and Geometric Calibration 6 Calibration Philosophy – Rad Model Typical Radiometric Model Parameters for Imaging Array Based Radiometer Radiometric Model Parameters Noise equivalent radiance ICU Response settling time Saturation equivalent radiance ICU Response Repeatability Noise equivalent irradiance ICU Response Uniformity Noise equivalent temperature Dark offset repeatability Saturation equivalent irradiance Dark offset drift rate Illuminated Short-Term Repeatability vs. Radiance Point source repeatability (short, medium, and long) Saturation Response Extended source repeatability (short, medium, and long) Relative Spectral Responsivity Angular measurement accuracy and precision Effective Field-of-View Polarization Sensitivity Point Response Function Uncertainty Modulation Transfer Function Off-axis rejection Near angle scatter Optical Distortion Array coalignment 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 7 Calibration Philosophy – SI Units • Express calibration results in SI units – Standards maintained by national measurement institutes – Recommended Practice: Symbols, Terms, Units and Uncertainty Analysis for Radiometric Sensor Calibration, NIST Handbook 152, Clair Wyatt, et. al. – http://ts.nist.gov/ts/htdocs/230/233/calibration/uncert/index.ht m • Contains Links for – Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results, 1994 – Guide to the Expression of Uncertainty in Measurement, International Standards Organization (ISO), 1993 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 8 Calibration Philosophy - Uncertainty • Components of standard uncertainty are identified by taking partial derivative of calibration equation with respect to each parameter • Combined standard uncertainty – Law of propagation of uncertainty N 1 N f 2 f f 2 2 c i 2 i , j x x x i 1 i 1 j i 1 i i j N 2 – Where ƒ is a function (typically the calibration equation) with N parameters – If terms are independent, cross terms go to zero 2 f c2 i2 i 1 xi N – If uncertainties are expressed in percent N i2 2 c i 1 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 9 Calibration Philosophy - Uncertainty Example On-Orbit Absolute Radiance Uncertainty Budget for Imaging IR Instrument Radiometric Measurement Accuracy (RMA) Radiometric Measurement precision (RMP) Short-Term Response Repeatability (A) Medium-term Response Repeatability (A) Long-term Response Repeatability Internal Cal Measurements (A) On-Orbit Stellar Measurements (A & B) Response Variability Over FOR (function of pointing mirror position) Reflectance Variability as Function of Angle (A) Reflectance variability Due to Contamination (A & B) Peak Radiance Responsivity Uncertainty Peak radiance responsivity uncertainty derived from ground calibration Measurement Uncertainties Standard Error of Responsivity Coefficient (A) Linearity Correction Uncertainty (A) Response Uncertainty Due to Telescope Themal Emission (A & B) Integration Mode Normalization (A) Source Uncertainties Blackbody Emissivity Uncertainty (A & B) Calibrator Pointing Mirror Reflectivity Uncertainty (A) Blackbody Temperature Uncertainty (A) RSR Uncertainty (A) Responsivity Trend Correction Uncertainty (A) 2-5 December 2003 Corrected Response Uncertainty NUC Uncertainty NUC Uncertainty from Ground Calibration Array Response Uniformity to Extended Source (A) Extended Source Radiance Uniformity Uncertainty (A & B) NUC trend correction Unc (A) Integration Mode Normalization Uncertainty (A) Linearity Correction Uncertainty (A) Response Uncertainty Due to Telescope Thermal Emission + Dark Offset (A & B) Response Uncertainty Due to Non-Rejected Earth Radiance (B) International Workshop on Radiometric and Geometric Calibration 10 Calibration Philosophy – Phases of Cal • A complete and methodical approach to sensor calibration should address the following phases: Calibration planning during sensor design Ground measurements Subsystem/component measurements Sensor-level engineering tests and calibration Sensor-level ground calibration Integration and test On-orbit measurements On-orbit calibration 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 11 Calibration Planning • Perform calibration planning during sensor design – Sensor design should allow for efficient and complete calibration – Sensor design and calibration approach can be optimized to achieve performance requirements • Planning phase can help shake out problems – Schedule and cost risk is minimized by understanding what is required to perform a successful calibration early in the design phase 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 12 Calibration Planning Mission Requirements • • • • Identify instrument requirements that drive calibration Identify calibration measurement parameters and group into: – Calibration equation – Radiometric model Flow calibration measurement parameters to trade study – Schedule – Sensor design feedback – GSE hardware & software – Measurement uncertainty – Risk Instrument Requirements Calibration Measurement Parameters • Calibration Equation • Radiometric Model Sensor Design Cost & Schedule Measurement Uncertainty Calibration Planning GSE Hardware & Software Perform trade study to determine best calibration approach Risk 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 13 Subsystem/Component Measurements • Subsystem and/or component level measurements – Help verify, understand, and predict performance – Minimize schedule risk during system assembly • Identifies problems at lowest level of assembly • Minimizes schedule impact by minimizing disassembly effort to fix a problem • System/Sensor level measurements – Allow for end-to-end measurements – Account for interactions between subsystems and components that are difficult to predict 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 14 Subsystem/Component Measurements • Merging component-level measurements to predict sensor level calibration parameters may increase system-level uncertainties A,B – SABER relative spectral responsivity (RSR) • 9 of 10 channels < 5% difference • 1 channel 24% difference (reason unknown) A.) Component Level Prediction versus System Level Measurement of SABER Relative Spectral response, Scott Hansen, et.al., Conference on Characterization and Radiometric Calibration for Remote Sensing, 1999 B.) System Level Vs. Piece Parts Calibration: NIST Traceability – When Do You Have It and What Does It Mean? Steven Lorentz, L-1 Standards and Technology, Inc, Joseph Rice, NIST, CALCON, 2003 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 15 Sensor-Level Engineering Calibration • Engineering calibration – Performed before ground calibration (Lesson Learned) – Perform abbreviated set of all calibration measurements – Verifies GSE operation, test configurations, and test procedures – Checks out the sensor – Produces preliminary data to evaluate sensor performance – Feedbacks info to flight unit, calibration equipment, procedures, etc. • Engineering calibration data analysis – Evaluates sensor performance, test procedures, calibration hardware performance and test procedures • Based on results of engineering calibration, appropriate updates can be made to prepare for ground calibration data collection 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 16 Sensor-Level Ground Calibration • Provides complete calibration • Is performed under conditions that simulate operational conditions for intended application/measurement • Minimizes risk of not discovering a problem prior to launch • Promotes mission success during on-orbit operations • For many sensor applications – Detailed calibration is most efficiently performed during ground calibration – On-orbit calibration will not provide sufficient number of sources at needed flux levels – Operational time required for calibration is minimized • Best to perform ground calibration at highest level of assembly possible – Sensor-level at a minimum is recommended 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 17 Calibration Facilities • Make sure calibration hardware has been tested and characterized (Lesson Learned) – Problems with calibration hardware may cause schedule delays and degraded calibration • If possible, integrate calibration measurements into single facility (Lesson Learned) – Minimizes calibration time by reducing or preventing repeated cycle (i.e. pump, cool-down, warm-up) and configuration times • Examples: – The multi function infrared calibrator (MIC2) incorporates 4 source configurations in single package – SABER calibration facility • Test chamber interfaced with collimator provided calibration measurement configurations 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 18 MIC2 Interfaced with Sensor Under Test 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 19 MIC2 Source Configurations Collimator Source Scatter Source 2-5 December 2003 Extended Source Jones Source International Workshop on Radiometric and Geometric Calibration 20 SABER Calibration Facility Test Chamber and Work Area 2-5 December 2003 Collimator International Workshop on Radiometric and Geometric Calibration 21 SABER Calibration Facility 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 22 Calibration Data Collection • Develop and write calibration data collection procedures – Include: • • • • • Test procedures Time requirements Preparation and data collection steps Documentation of script files Data collection log sheets 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 23 Calibration Data Collection • Data collection should be automated when possible and practical – Automate with scripting language to make measurements efficient and repeatable • Data collection procedures should be detailed and mature • Sensor engineers and/or technicians may assist with data collection – Requires familiarity with sensor under test – Makes shift work possible to facilitate schedule • Data quality should be verified for its intended use with quicklook analyses • Contamination should be monitored using QCM and/or radiometric techniques – Quantify contamination levels – Determine when corrective action is required 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 24 Calibration Data Collection • Data collection environment includes: – Test conductor and data collection station – Ground support equipment (GSE) computer • Controls and views status of GSE – Instrument computer • Controls and views status of instrument – Data collection computer • Initiates and executes data collection • Controls and monitors status – GSE – Instrument – Quick look analysis station 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 25 Calibration Data Collection Instrument Computers & Racks GSE Computer Data Collection Computer Quick Look Analysis Station 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 26 On-Orbit Calibration • Calibration continues after sensor-level ground calibration Sensor Design/Fabrication Ground Calibration On-Orbit Operations Internal Calibration Unit (ICU) Response Trending On-Orbit Calibration/Verification • Track, trend, and update calibration throughout a sensor’s operational life – On-board internal calibration sources – External sources • Ground sources prior to launch • On-obit sources after launch • Verifies calibration and quantifies uncertainty 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 27 On-Orbit Calibration • On-orbit sources – Standard IR stars • Stars aBoo, aLyra, aTau, aCMa, bGem, bPeg • Catalogs include IRC, AFGL, IRAS, MSX, 2MASS – Planetary objects • Planets provide bright variable sources • Asteroids, moon, etc. • Sometimes you have to be creative: – Off-axis scatter characterization using the moon – Reference spheres – Other techniques • View large area source located on surface of earth (remote sensing applications) 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 28 Summary • What is meant by a complete calibration • Calibration parameters are organized into two categories – Calibration equation and radiometric model • Overall calibration approach – Perform calibration planning in parallel with sensor design – Subsystem measurements are a good idea but don’t rely on these measurements to give system level calibration – Perform engineering calibration to verify GSE, test procedures, and estimate sensor performance – Obtain complete and thorough sensor level calibration – Verify and/or update calibration throughout operational life 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 29 The Annual Conference on Characterization & Radiometric Calibration for Remote Sensing addresses characterization, calibration, and radiometric issues within the IR, Visible and UV spectrums. Session Topics Include: Concepts and Applications of Measurement Uncertainty Solar, Lunar and Stellar Radiometric Measurements Pre-launch to On-orbit Calibration Transfer: Approaches and On-orbit Monitoring Techniques Developing National Calibration/Certification Standards for EO/IR Systems Join us at Utah State University September 13-16, 2004! 2-5 December 2003 International Workshop on Radiometric and Geometric Calibration 30