Next Article in Journal
Vegetation Changes and Its Driving Factors in the Three-River Headwaters Region from 1990 to 2022
Previous Article in Journal
Morphometric Analysis and Emplacement Dynamics of Folded Terrains at Avernus Colles, Mars
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Temperature-Field Driven Adaptive Radiometric Calibration for Scan Mirror Thermal Radiation Interference in FY-4B GIIRS

1
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
2
State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yutian Road, Shanghai 200083, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(24), 3948; https://doi.org/10.3390/rs17243948 (registering DOI)
Submission received: 8 October 2025 / Revised: 26 November 2025 / Accepted: 4 December 2025 / Published: 6 December 2025
(This article belongs to the Special Issue Remote Sensing Data Preprocessing and Calibration)

Abstract

To meet the growing demand for quantitative remote sensing applications in GIIRS radiometric calibration, this paper proposes a temperature field-driven adaptive scan mirror thermal radiation interference correction method. Based on the on-orbit deep space observation data from the Fengyun-4B satellite, this paper systematically analyzes the thermal radiation interference characteristics caused by scan mirror deflection and constructs the first scan mirror thermal radiation response model suitable for GIIRS. On the basis of this model, this paper further introduces the dynamic variation characteristics of the internal thermal environment of the instrument, enabling adaptive response and compensation for radiation disturbances. This method overcomes the limitations of relying on static calibration parameters and improves the generality and robustness of the model. Independent validation results show that this method effectively suppresses the interference of scan mirror deflection on instrument background radiation and enhances the consistency of the deep space and blackbody spectral diurnal variation time series. After correction, the average system bias of the interference-sensitive channel decreased by 94%, and the standard deviation of radiance bias from 2.5 mW/m2·sr·cm−1 to below 0.5 mW/m2·sr·cm−1. In the O-B test, the maximum improvement in relative standard deviation reached 0.15 K.
Keywords: GIIRS; FTIR; radiometric calibration; quantitative remote sensing; adaptive correction; temperature-field driven; instrument background radiation; scan mirror GIIRS; FTIR; radiometric calibration; quantitative remote sensing; adaptive correction; temperature-field driven; instrument background radiation; scan mirror

Share and Cite

MDPI and ACS Style

Liang, X.; Zou, Y.; Han, C.; Huang, P.; Li, L.; Zhang, Y. Temperature-Field Driven Adaptive Radiometric Calibration for Scan Mirror Thermal Radiation Interference in FY-4B GIIRS. Remote Sens. 2025, 17, 3948. https://doi.org/10.3390/rs17243948

AMA Style

Liang X, Zou Y, Han C, Huang P, Li L, Zhang Y. Temperature-Field Driven Adaptive Radiometric Calibration for Scan Mirror Thermal Radiation Interference in FY-4B GIIRS. Remote Sensing. 2025; 17(24):3948. https://doi.org/10.3390/rs17243948

Chicago/Turabian Style

Liang, Xiao, Yaopu Zou, Changpei Han, Pengyu Huang, Libing Li, and Yuanshu Zhang. 2025. "Temperature-Field Driven Adaptive Radiometric Calibration for Scan Mirror Thermal Radiation Interference in FY-4B GIIRS" Remote Sensing 17, no. 24: 3948. https://doi.org/10.3390/rs17243948

APA Style

Liang, X., Zou, Y., Han, C., Huang, P., Li, L., & Zhang, Y. (2025). Temperature-Field Driven Adaptive Radiometric Calibration for Scan Mirror Thermal Radiation Interference in FY-4B GIIRS. Remote Sensing, 17(24), 3948. https://doi.org/10.3390/rs17243948

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop