Reflectance-based vicarious calibration of INSAT-3D using high-reflectance ground target

This study is carried out as the post-launch calibration for visible (IMG-VIS) and shortwave (IMG-SWIR) bands of INSAT-3D imager and visible (SND-VIS) band of Indian National Satellite System (INSAT)-3D sounder over land site (Little Rann of Kutch (ROK), Gujarat) on five clear-sky days. This calibration activity is performed to account for the characterisation errors or undetermined post-launch changes in sensor spectral response. We had measured the surface reflectance and atmospheric variables at the site synchronising with the viewing and solar geometry of the INSAT-3D scan. Top of atmosphere (TOA) spectral radiances were computed using 6SV (Second Simulation of the Satellite Signal in the Solar Spectrum) radiative transfer (RT) code with the surface reflectance and atmospheric variables as well as spectral response function (SRF) of each channel. The uncertainties involved due to spatial variability of site and variation in aerosol type in calibration coefficients were also computed. MODIS Bidirectional Reflectance Distribution Function (BRDF) product is used to account the effect of surface anisotropy on TOA spectral radiance. Comparison between 2014 and 2015 vicarious calibration results, indicate that the INSAT-3D measured radiance are stable within 0.38%, 0.18% and 0.13% for IMG-VIS, IMG-SWIR and SND-VIS, respectively. 6SV simulated atmospherically corrected reflectances were found to match much better with the observed surface reflectance in the inverse mode for all three bands. Comparing these results with the previous year’s analysis, there is no indication of major change in calibration coefficients for all three bands of INSAT-3D.

[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]  John Reagan,et al.  Assessment of Atmospheric Limitations on the Determination of the Solar Spectral Constant from Ground-Based Spectroradiometer Measurements , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[3]  P. Teillet,et al.  Calibration, Validation, and Quality Assurance in Remote Sensing: A New Paradigm , 1997 .

[4]  Bing Zhang,et al.  Vicarious Calibration of Beijing-1 Multispectral Imagers , 2014, Remote. Sens..

[5]  J. Palmer Effective Bandwidths for LANDSAT-4 And LANDSAT-D' Multispectral Scanner And Thematic Mapper Subsystems , 1984, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Abderrazak Bannari,et al.  Potential of Getis statistics to characterize the radiometric uniformity and stability of test sites used for the calibration of Earth observation sensors , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[7]  G. Chander,et al.  Terrestrial reference standard sites for postlaunch sensor calibration , 2010 .

[8]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[9]  Kurtis J. Thome,et al.  Vicarious Radiometric Calibrations of EOS Sensors , 1996 .

[10]  M. Bouvet Radiometric comparison of multispectral imagers over a pseudo-invariant calibration site using a reference radiometric model , 2014 .

[11]  K. V. S. Badarinath,et al.  Variations in the aerosol optical properties and types over the tropical urban site of Hyderabad, India , 2009 .

[12]  John N. Porter,et al.  Ship-Based Sun Photometer Measurements Using Microtops Sun Photometers , 2001 .

[13]  Kurtis J. Thome,et al.  Evaluation of Railroad Valley playa for use in vicarious calibration , 1996, Optics & Photonics.

[14]  Carol J. Bruegge,et al.  Use of Spectralon as a diffuse reflectance standard for in-flight calibration of earth-orbiting sensors , 1993 .

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

[16]  M. S. Moran,et al.  Reflectance- and radiance-based methods for the in-flight absolute calibration of multispectral sensors , 1987 .

[17]  Robert Frouin,et al.  Calibration of NOAA-7 AVHRR, GOES-5, and GOES-6 VISSR/VAS solar channels , 1986 .

[18]  Stephen Schiller,et al.  Results of the 1996 Earth Observing System vicarious calibration joint campaign at Lunar Lake Playa, Nevada (USA) , 1998 .

[19]  K. Thome Absolute radiometric calibration of Landsat 7 ETM+ using the reflectance-based method , 2001 .

[20]  F. Mims,et al.  Design, calibration, and performance of MICROTOPS II handheld ozone monitor and Sun photometer , 2001 .

[21]  Carol J. Bruegge,et al.  MISR prelaunch instrument calibration and characterization results , 1998, IEEE Trans. Geosci. Remote. Sens..

[22]  Brian L. Markham,et al.  Surface reflectance retrieval from satellite and aircraft sensors: Results of sensor and algorithm comparisons during FIFE , 1992 .

[23]  Carol J. Bruegge,et al.  Calibrated intercepts for solar radiometers used in remote sensor calibration , 1991, Defense, Security, and Sensing.

[24]  Larry Leigh,et al.  The Ground-Based Absolute Radiometric Calibration of Landsat 8 OLI , 2015, Remote. Sens..

[25]  Jai Singh Parihar,et al.  Spectral characteristics of sensors onboard IRS-1D and P6 satellites: Estimation and their influence on surface reflectance and NDVI , 2007 .

[26]  Shailesh Kumar Kharol,et al.  Case study of a dust storm over Hyderabad area, India: its impact on solar radiation using satellite data and ground measurements. , 2007, The Science of the total environment.

[27]  P. Patel,et al.  Absolute Vicarious Calibration of recently launched Indian Meteorological Satellite: INSAT-3D imager , 2014 .

[28]  G. Rondeaux,et al.  La Crau: a European test site for remote sensing validation , 1998 .

[29]  C. Wehrli,et al.  Comparison of Sun photometer calibration by use of the Langley technique and the standard lamp. , 1995, Applied optics.

[30]  Alexei Lyapustin,et al.  Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study. , 2008, Applied optics.

[31]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .