Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 5, 599(2024)

In-orbit calibration application and verification of Gaofen-2 satellite based on hyperspectral automatic observation equipment

LIU Enchao1,*... PAN Yan1,2, WEI Wei1 and LI Xin1 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, HFIPS,Chinese Academy of Sciences, Hefei 230031, China
  • 2University of Science and Technology of China, Hefei 230026, China
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    In order to verify the application effect of surface reflectance data of hyperspectral automatic field observation equipment, the application and verification of in-orbit calibration data of Gaofen-2 (GF-2) satellite remote sensor are carried out based on the reflectance-based method. Firstly, we systematically introduces the calibration field and the working mode and performance index of various automatic observation equipment, and demonstrates the calculation method of observation data and surface reflectance data of the instrument. Then, regarding to the calibration requirements of GF-2 satellite remote sensor, the in-orbit calibration of GF-2 panchromatic and multi-spectral (PMS) remote sensor is completed using satellite atmospheric data products and synchronous observation images of GF-2 remote sensor. Finally, based on the obtained calibration coefficients, the image data of remote sensors in different time periods are verified. The application verification of two different land surfaces shows that, the overall relative deviation of satellite apparent radiance is better than 2%, which verifies the feasibility of hyperspectral equipment in the in-orbit calibration of satellite remote sensors.

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    Enchao LIU, Yan PAN, Wei WEI, Xin LI. In-orbit calibration application and verification of Gaofen-2 satellite based on hyperspectral automatic observation equipment[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(5): 599

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    Paper Information

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    Received: May. 5, 2022

    Accepted: --

    Published Online: Jan. 8, 2025

    The Author Email: LIU Enchao (liuech@aiofm.ac.cn)

    DOI:10.3969/j.issn.1673-6141.2024.05.009

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