Assessment of Spectral Band Impact on Intercalibration Over Desert Sites Using Simulation Based on EO-1 Hyperion Data

Since the beginning of the 1990s, stable desert sites have been used for the calibration monitoring of many different sensors. Many attempts at sensor intercalibration have been also conducted using these stable desert sites. As a result, site characterization techniques and the quality of intercalibration techniques have gradually improved over the years. More recently, the Committee on Earth Observation Satellites has recommended a list of reference pseudo-invariant calibration sites for frequent image acquisition by multiple agencies. In general, intercalibration should use well-known or spectrally flat reference. The reflectance profile of desert sites, however, might not be flat or well characterized (from a fine spectral point of view). The aim of this paper is to assess the expected accuracy that can be reached when using desert sites for intercalibration. In order to have a well-mastered estimation of different errors or error sources, this study is performed with simulated data from a hyperspectral sensor. Earth Observing-1 Hyperion images are chosen to provide the simulation input data. Two different cases of intercalibration are considered, namely, Landsat 7 Enhanced Thematic Mapper Plus with Terra Moderate Resolution Imaging Spectroradiometer (MODIS) and Environmental Satellite MEdium Resolution Imaging Spectrometer (MERIS) with Aqua MODIS. The simulation results have confirmed that intercalibration accuracy of 1% to 2% can be achieved between sensors, provided there are a sufficient number of available measurements. The simulated intercalibrations allow explaining results obtained during real intercalibration exercises and to establish some recommendations for the use of desert sites for intercalibration.

[1]  G. Chander,et al.  Monitoring on-orbit calibration stability of the Terra MODIS and Landsat 7 ETM+ sensors using pseudo-invariant test sites , 2010 .

[2]  Xiaoxiong Xiong,et al.  An overview of the Earth Observing System MODIS instrument and associated data systems performance , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[3]  Xavier Briottet,et al.  Assimilation method to derive spectral ground reflectance of desert sites from satellite datasets , 2003 .

[4]  Yves M. Govaerts,et al.  Evaluation of radiative transfer simulations over bright desert calibration sites , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Bertrand Fougnie,et al.  Cross Calibration Over Desert Sites: Description, Methodology, and Operational Implementation , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Lawrence Ong,et al.  EO-1 Mission: Transition from technology demonstration to science path finder , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[7]  Xiaoxiong Xiong,et al.  Multiyear On-Orbit Calibration and Performance of Terra MODIS Reflective Solar Bands , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Yves M. Govaerts,et al.  Operational calibration of the Meteosat radiometer VIS band , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Gyanesh Chander,et al.  Prime candidate Earth targets for the post-launch radiometric calibration of space-based optical imaging instruments , 2007, SPIE Optical Engineering + Applications.

[10]  G. Dedieu,et al.  SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum , 1994 .

[11]  Olivier Hagolle,et al.  Remote sensing data respository for in-flight calibration of optical sensors over terrestrial targets , 1999 .

[12]  D. Helder,et al.  Optimized identification of worldwide radiometric pseudo-invariant calibration sites , 2010 .

[13]  Xavier Briottet,et al.  A field experiment in Saharan Algeria for the calibration of optical satellite sensors , 1997 .

[14]  Ludovic Bourg,et al.  MERIS INSTRUMENT CALIBRATION , 2006 .

[15]  S. Delwart,et al.  The MERIS ground segment , 1999 .

[16]  B. Markham,et al.  Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .

[17]  Rasmus Fensholt,et al.  Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Bertrand Fougnie Temporal decrease of the PARASOL radiometric sensitivity: in-flight characterization of the multi-angular aspect , 2010, Optical Engineering + Applications.

[19]  M. Leroy,et al.  Selection and characterization of Saharan and Arabian desert sites for the calibration of optical satellite sensors , 1996 .

[20]  Patrick Minnis,et al.  Spectral Reflectance Corrections for Satellite Intercalibrations Using SCIAMACHY Data , 2012, IEEE Geoscience and Remote Sensing Letters.

[21]  John Shepanski,et al.  Hyperion, a space-based imaging spectrometer , 2003, IEEE Trans. Geosci. Remote. Sens..

[22]  P. M. Teillet,et al.  Online catalog of world-wide test sites for the post-launch characterization and calibration of optical sensors , 2007 .

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

[24]  Jens Nieke,et al.  A satellite cross-calibration experiment , 2004, IEEE Geoscience and Remote Sensing Letters.

[25]  Brian L. Markham,et al.  Landsat-7 ETM+ on-orbit reflective-band radiometric stability and absolute calibration , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[26]  G. Thuillier,et al.  The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions , 2003 .

[27]  Mark A. Folkman,et al.  EO-1/Hyperion hyperspectral imager design, development, characterization, and calibration , 2001, SPIE Asia-Pacific Remote Sensing.

[28]  M. Rast,et al.  The ESA Medium Resolution Imaging Spectrometer MERIS a review of the instrument and its mission , 1999 .

[29]  Gyanesh Chander,et al.  Updated Radiometric Calibration for the Landsat-5 Thematic Mapper Reflective Bands , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Olivier Hagolle,et al.  PARASOL in-flight calibration and performance. , 2007, Applied optics.

[31]  O. Hagolle,et al.  Relative and multitemporal calibration of AVHRR, SeaWiFS, and VEGETATION using POLDER characterization of desert sites , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[32]  P. Henry,et al.  Calibration of HRVIR and vegetation cameras on SPOT4 , 2001 .