Abstract
To obtain more abundant target information for vegetation remote sensing research, the wide field of view (WFV) of the GaoFen-6 (GF-6) satellite utilizes eight bands, including four new bands. Unfortunately, it finds the unavailable reference bands from well-calibrated sensors to implement radiometric cross-calibration of the WFV sensor for these new bands, which severely affects the radiometric quality estimation and the radiometric degradation detection of WFV. Therefore, taking the Dunhuang radiometric calibration site (DRCS) in China as the radiometric transfer platform and treating the moderate-resolution imaging spectroradiometer as a reference sensor, a novel radiometric cross-calibration method for WFV is proposed. The validation results show that compared with the official calibration coefficients (OCCs) published by the China centre for resources satellite data and application (CRESDA), the proposed method can obtain reliable radiometric cross-calibration results for each band even without available corresponding reference bands. Moreover, the influences of the interpolation method and the spectral band adjustment factor (SBAF) correction on the calibration results are discussed. The total radiometric cross-calibration uncertainty is less than 4.33%.
Highlights
O N-ORBIT radiometric calibration is essential for quantitative remote sensing applications of satellite images, which can accurately convert the digital number (DN) of satellite images to the top of atmosphere (TOA) reflectance or the Manuscript received September 2, 2020; revised November 25, 2020 and December 17, 2020; accepted December 20, 2020
The SDs of the eight bands are all less than 0.4%, which shows that the proposed method coefficients (PMCs) on different calibrated days have good consistency and indicates that the proposed cross-calibration method is stable
The official calibration coefficients (OCCs) of wide field of view (WFV), published in 2019 by the centre for resources satellite data and application (CRESDA), with the site calibration method are treated as the reference information, which has a sufficiently high accuracy, to validate the cross-calibration accuracy [3], [10], [18], [20]
Summary
O N-ORBIT radiometric calibration is essential for quantitative remote sensing applications of satellite images, which can accurately convert the digital number (DN) of satellite images to the top of atmosphere (TOA) reflectance or the Manuscript received September 2, 2020; revised November 25, 2020 and December 17, 2020; accepted December 20, 2020. Taking Landsat8/OLI (operational land imager), moderate-resolution imaging spectroradiometer (MODIS) and Sentinel-2/MSI (multispectral instrument) as the radiometric references, Gao et al applied the cross-calibration method to GF-4/VNIR [visible and nearinfrared (NIR)] at the DRCS, Dalate site and Baotou site, and estimated the degradation of GF-4/VNIR [4]. Yang et al evaluated the radiometric capability of GF-6/WFV by using Landsat-8/OLI image and DEM (digital elevation model) established with ZY-3/TLC (three-line camera) to develop the bidirectional reflectance distribution function (BRDF) of the Badain Jaran Desert site and implemented the cross-calibration of GF-6/WFV with the support of MOD05 and time-series MODIS data and validated the cross-calibration results using synchronized ground measurements at the DRCS [5]. Chen et al employed the Shuffled Complex Evolution-University of Arizona algorithm for the cross-calibration of the GF-4/VNIR
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