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A Multiplatform Approach Using MODIS Sensors to Cross-Calibrate the HJ-1A/CCD1 Sensors Over Aquatic Environments

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Abstract

A cross-calibration model is developed for calibrating the reflectance of HJ-1A/CCD1 sensor to MODIS/Terra sensor in the post-launch era. The vicarious cross-calibration models are initialized using the image pairs of HJ-1A/CCD1 and MODIS/Terra sensors collected from two testing sites, Nam Co Lake and Qinghai Lake, China. Our results show the cross-calibration model produced good performance in calibrating reflectance of HJ-1A/CCD1 sensor to MODIS/Terra sensor, whose mean relative error do not exceed 8.5 % for three visible channels of HJ-1A/CCD1 sensor. Moreover, the theoretical difference between the MODIS/Terra and HJ-1A/CCD1 reflectance are simulated using the 6S code. The results indicate that it would cause a pronounced difference. Therefore, it necessary to reinitialize the coefficients of the water color remote sensing models, when those models with HJ-1A/CCD1 band were applied to the vicarious cross-calibration data.

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Acknowledgments

We thank the NASA for their help with providing the MODIS dataset. We would like to express our gratitude to two anonymous reviewers for their useful comments and suggestions.

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Authors and Affiliations

  1. Shaanxi Agriculture Remote Sensing Information Center, Xi’an, 710000, China

    Wenting Quan

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  1. Wenting Quan
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Correspondence to Wenting Quan.

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Quan, W. A Multiplatform Approach Using MODIS Sensors to Cross-Calibrate the HJ-1A/CCD1 Sensors Over Aquatic Environments. J Indian Soc Remote Sens 43, 687–695 (2015). https://doi.org/10.1007/s12524-015-0452-6

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  • DOI: https://doi.org/10.1007/s12524-015-0452-6

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