Channel ratio normalized calibration of the solar reflectance bands from FY-3D/MERSI lunar observations

In order to further improve the accuracy of the lunar radiation correction, a normalized calibration method with a reference channel ratio is proposed in this paper. This approach effectively eliminates the influences of the lunar phase angle, the sun–moon–satellite distance and other related factors on the lunar irradiance, thereby calibrating the observed irradiances of all channels to the same level. The normalized calibration coefficient of a target channel is derived by comparing its lunar irradiance with that of a stable reference channel, thereby transforming absolute calibration into a relative inter-channel framework. Using lunar observation data from the FY-3D/MERSI, the annual decay rates of the normalized calibration coefficients and their associated uncertainties are systematically evaluated. The results show that the estimated decay trends are consistent with those derived from the ROLO model, while exhibiting lower uncertainty in most channels. This study demonstrates that the proposed method provides a reliable and practical alternative for on-orbit radiometric calibration, offering both theoretical support and operational guidance for satellite radiometric stability monitoring.

Authors

Institutions

Publication Details

Journal
International Journal of Remote Sensing
Published
2026-07-16
DOI
https://doi.org/10.1080/01431161.2026.2703286
Primary Topic
Calibration and Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Channel ratio normalized calibration of the solar reflectance bands from FY-3D/MERSI lunar observations

X Wang, Peng Gao, D W Zhang, Chengli Qi et al.
International Journal of Remote Sensing
Calibration and Measurement Techniques
article

Channel ratio normalized calibration of the solar reflectance bands from FY-3D/MERSI lunar observations

X Wang, Peng Gao, D W Zhang, Chengli Qi, Mingkun Wang, Zi Wang, Zhongyi Han, Kang Chen, Jingjing Ai, Hanbo Zhen, Yujie Cui
article en

Abstract

In order to further improve the accuracy of the lunar radiation correction, a normalized calibration method with a reference channel ratio is proposed in this paper. This approach effectively eliminates the influences of the lunar phase angle, the sun–moon–satellite distance and other related factors on the lunar irradiance, thereby calibrating the observed irradiances of all channels to the same level. The normalized calibration coefficient of a target channel is derived by comparing its lunar irradiance with that of a stable reference channel, thereby transforming absolute calibration into a relative inter-channel framework. Using lunar observation data from the FY-3D/MERSI, the annual decay rates of the normalized calibration coefficients and their associated uncertainties are systematically evaluated. The results show that the estimated decay trends are consistent with those derived from the ROLO model, while exhibiting lower uncertainty in most channels. This study demonstrates that the proposed method provides a reliable and practical alternative for on-orbit radiometric calibration, offering both theoretical support and operational guidance for satellite radiometric stability monitoring.

International Journal of Remote Sensing
China Meteorological Administration (CN), Qingdao University of Science and Technology (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 5%
Calibration and Measurement Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.