In-Flight Radiation Calibration of a Directional Polarimetric Camera at Visible Bands Onboard GF-5

Feinan, 陈斐楠 Chen; Yizhe, 樊依哲 Fan; Jin, 洪津 Hong; Chan, 黄禅 Huang; Shuang, 李双 Li; Benyong, 杨本永 Yang; Bihai, 涂碧海 Tu; Lin, 韩琳 Han; Bin, 孙斌 Sun

doi:10.3788/aos202040.2328001

Cited by 4 publications

(1 citation statement)

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“…Chen et al conducted radiometric calibration of four bands (443, 490, 565, and 670 nm) of the DPC in the South Atlantic using the Rayleigh calibration method. The results, calculated based on error propagation theory, showed that the errors of the calibration coefficients calculated using this method ranged from 1.24% to 4.76% [6]. A similar method was also employed by Zhu et al to recalibrate long time series data derived from four bands of the DPC [7].…”

Section: Introductionmentioning

confidence: 92%

Radiometric Calibration of the Near-Infrared Bands of GF-5-02/DPC for Water Vapor Retrieval

Xie,

Zhu,

Zhu

et al. 2024

Remote Sensing

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The GaoFen (GF)-5-02 satellite is one of the new generations of hyperspectral observation satellites launched by China in 2021. The directional polarimetric camera (DPC) is an optical sensor onboard the GF-5-02 satellite. The precipitable water vapor (PWV) is a key detection parameter of DPC. However, the existing PWV data developed using DPC data have significant errors due to the lack of the timely calibration of the two bands (865, 910 nm) of DPC used for PWV retrieval. In order to acquire DPC PWV data with smaller errors, a calibration method is developed for these two bands. The method consists of two parts: (1) calibrate the 865 nm band of the DPC using the cross-calibration method, (2) calibrate the 910 nm band of the DPC according to the calibrated 865 nm band of the DPC. This method effectively addresses the issue of the absence of a calibration method for the water vapor absorption band (910 nm) of the DPC. Regardless of whether AERONET PWV data or SuomiNET PWV data are used as the reference data, the accuracy of the DPC PWV data developed using calibrated DPC data is significantly superior to that of the DPC PWV data retrieved using data before recalibration. This means that the calibration method for the NIR bands of the DPC can effectively enhance the quality of DPC PWV data.

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Section: Introductionmentioning

confidence: 92%