Day-1 INSAT-3DR Vicarious Calibration Using Reflectance-Based Approach Over Great Rann of Kutch
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This study describes the post-launch calibration for visible (VIS) and shortwave infrared (SWIR) bands of Indian National Satellite System (INSAT)-3DR imager over Great Rann of Kutch (GROK) on Day-1 (15th September 2016), when the first time INSAT-3DR Imager camera was switched on. In order to account the characterization of errors and undetermined post-launch changes in sensor spectral response, this calibration activity was performed and extended for its monitoring to Day-56 (since the Day-1; 09th November 2016). A reflectance based technique is used in the present study. The surface reflectance and atmospheric variables were measured over the site as per solar and viewing 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 code with the in situ measurements as well as spectral response function of each channel. Preliminary results of the Day-1 vicarious calibration yield gain coefficients of 0.974 and 0.820 for VIS and SWIR channels respectively despite the inhomogeneity of the ground target caused by sufficient sub-surface soil moisture. In extension of the present study, the obtained gain coefficients were 1.001 and 0.9887 for VIS and SWIR, respectively, during Day-56 which indicates the performance of sensor is within the range of pre-launch laboratory calibration.
KeywordsINSAT-3DR Vicarious calibration Reflectance 6SV Radiative transfer model
The authors gratefully acknowledge the encouragement received from Tapan Misra, Director, SAC for carrying out the present research work. Valuable suggestions received from Dr Raj Kumar, Deputy Director, EPSA is also gratefully acknowledged. Authors would like to thanks their respective families for their continuous motivations. The authors are grateful to anonymous reviewers for constructive and useful comments.
- Badarinath, K. V. S., Kharol, S. K., Kaskaoutis, D. G., & Kambezidis, H. D. (2007). Dust storm over indian region and its impact on the ground reaching solar radiation—A case study using multi-satellite data and ground measurements. Science of the Total Environment, 384, 316–332.CrossRefGoogle Scholar
- Bannari, A., Omari, K., Teillet, P. M., & Fedosejevs, G. (2005). Potential of Getis statistics to characterize the radiometric uniformity and stability of test sites used for the calibration of Earth observation sensors. IEEE Transactions on Geoscience and Remote Sensing, 43(12), 2918–2926.CrossRefGoogle Scholar
- Gellman, D. I., Biggar, S. F., Slater, P. N., & Bruegge, C. J. (1991). Calibrated intercepts for solar radiometers used in remote sensor calibration. Proceedings of SPIE, 1493, 19–24.Google Scholar
- Gu, X., Guyot, G., & Verbrugghe, M. (1990). Analyze de la variabilité spatiale d’un site-test: Exemple de “La Crau” (France). Photo Interpretation, 1(5), 39–52.Google Scholar
- MODIS ATBD, Strahler, A. H., & Muller, J. P. (1999). MODIS BRDF/Albedo Product, Algorithm Theoretical Basis Document, Version 6.Google Scholar
- Nicodemus, F. E., Richmond, J. C., Hsia, J. J., Ginsberg, I. W., & Limperis, T. (1977). Geometrical considerations and nomenclature for reflectance, Natl. Bur. Stand. Rep. NBS MN-160, 52.Google Scholar
- Patel, P., Bhatt, H., & Shukla, A. K. (2014). Absolute vicarious calibration of recently launched Indian meteorological satellite: INSAT-3D imager. ISPRS technical Commission VIII symposium, 09–12 December, 2014, Hyderabad, India. https://doi.org/10.5194/isprsarchives-XL-8-291-2014.
- Rao, C. R. N. (2001). Implementation of the post-launch vicarious calibration of the GOES imager visible channel (Camp Springs, MD: NOAA Satellite and Information Services (NOAA/NESDIS)). http://www.ospo.noaa.gov/Operations/GOES/calibration/vicarious-calibration.html.
- Slater, P. N., Biggar, S. F., Holm, R. A., Jackson, R. D., Mao, Y., Moran, M. S., et al. (1987). Reflectance-and radiance-based methods for in-flight absolute calibration of multispectral sensors. Remote Sensing of Environment, 22(11–37), 1987.Google Scholar
- Vermote, E. D., Tanre, J. L., Deuze, M., Herman, J. J., Morcrette, & Kotchenova, S. Y. (2006). Second simulation of satellite signal in the satellite spectrum (6S). 6S User Guide Version 3. University of Maryland.Google Scholar