Impacts of dichroic prism coatings on radiometry of the airborne imaging spectrometer APEX.

The generation of well-calibrated radiometric measurements from imaging spectrometer data requires careful consideration of all influencing factors, as well as an instrument calibration based on a detailed sensor model. Deviations of ambient parameters (i.e., pressure, humidity, temperature) from standard laboratory conditions during airborne operations can lead to biases that should be accounted for and properly compensated by using dedicated instrument models. This study introduces a model for the airborne imaging spectrometer airborne prism experiment (APEX), describing the impact of spectral shifts as well as polarization effects on the radiometric system response due to changing ambient parameters. Key issues are related to changing properties of the dichroic coating applied to the dispersing elements within the optical path. We present a model based on discrete numerical simulations. With the improved modeling approach, we predict radiometric biases with an root mean square error (RMSE) below 1%, leading to a substantial improvement of radiometric stability and predictability of system behavior.

[1]  Sindy Sterckx,et al.  Operational status of apex and characteristics of the apex open science data set , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[2]  Marcos J. Montes,et al.  Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique , 2004 .

[3]  Peter Gege,et al.  DLR's New Traceable Radiance Standard “RASTA” , 2012 .

[4]  Daniel Schläpfer MODO : AN INTERFACE TO MODTRAN FOR THE SIMULATION OF IMAGING SPECTROMETRY AT-SENSOR SIGNALS , 1998 .

[5]  Shunlin Liang,et al.  Earth system science related imaging spectroscopy — an assessment , 2009 .

[6]  Jens Nieke,et al.  Uniformity of Imaging Spectrometry Data Products , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Jens Nieke,et al.  Calibration facility for airborne imaging spectrometers , 2005, SPIE Remote Sensing.

[8]  Philip N. Slater,et al.  Calibration of Space-Multispectral Imaging Sensors , 1999 .

[9]  Kelly Chance,et al.  SCIAMACHY Level 1 data: calibration concept and in-flight calibration , 2005 .

[10]  D. C. Robertson,et al.  MODTRAN: A Moderate Resolution Model for LOWTRAN , 1987 .

[11]  Petra D'Odorico,et al.  In-flight spectral performance monitoring of the Airborne Prism Experiment. , 2010, Applied optics.

[12]  J. Hollandta,et al.  Providing radiometric traceability for the calibration home base of DLR by PTB , 2013 .

[13]  Daniel Schläpfer,et al.  Performance assessment of onboard and scene-based methods for Airborne Prism Experiment spectral characterization. , 2011, Applied optics.

[14]  Andreas Hueni,et al.  Airborne Prism Experiment Calibration Information System , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[15]  A. Berk MODTRAN : A moderate resolution model for LOWTRAN7 , 1989 .

[16]  Andreas Hueni,et al.  APEX - current status, performance and validation concept , 2010, 2010 IEEE Sensors.

[17]  J. Nieke,et al.  Assessing polarization effects for the Airborne imaging spectrometer APEX , 2006 .

[18]  M. Schaepman,et al.  Calibration and Validation Concept for the Airborne PRISM Experiment (APEX) , 2000 .

[19]  R. Richter,et al.  Sensor: a tool for the simulation of hyperspectral remote sensing systems , 2001 .

[20]  J. Nieke,et al.  Noise contributions for imaging spectrometers. , 1999, Applied optics.

[21]  Stefan Adriaensen,et al.  Structure, Components, and Interfaces of the Airborne Prism Experiment (APEX) Processing and Archiving Facility , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[22]  K. Itten,et al.  Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) , 2015 .

[23]  Zhiyi Zhang,et al.  Monitoring changes in the refractive index of gases by means of a fiber optic Fabry-Perot interferometer sensor , 2005 .

[24]  K. Itten CALIBRATION CONCEPT FOR THE AIRBORNE PRISM EXPERIMENT (APEX) , 1999 .

[25]  Jens Nieke,et al.  Spatial PSF Nonuniformity Effects in Airborne Pushbroom Imaging Spectrometry Data , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[26]  L. Guanter,et al.  Spectral calibration of hyperspectral imagery using atmospheric absorption features. , 2006, Applied optics.

[27]  Andreas Hueni,et al.  Detection and Correction of Radiance Variations During Spectral Calibration in APEX , 2015, IEEE Geoscience and Remote Sensing Letters.

[28]  Sindy Sterckx,et al.  Operational calibration of APEX , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[29]  Jens Nieke,et al.  APEX - the Hyperspectral ESA Airborne Prism Experiment , 2008, Sensors.

[30]  Peter Gege,et al.  Calibration facility for airborne imaging spectrometers , 2005 .