2020
DOI: 10.3390/s20174690
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FY-3D MERSI On-Orbit Radiometric Calibration from the Lunar View

Abstract: Limited by the on-orbital calibration capability, scaling the measured radiance in accuracy and stability is challenging for the Earth observation satellites in the reflective solar bands (RSBs). Although the lunar calibration is a well-developed technique in the RSBs, limited work has been done for Chinese Earth observation satellites. To improve the on-orbital calibration performance, the advanced MEdium Resolution Spectral Imager (MERSI II), which is the primary payload of the fourth satellite of the Fengyu… Show more

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Cited by 20 publications
(5 citation statements)
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“…The results from the lunar calibration compared with the prelaunch coefficient are listed in Figure 12 and Table 10. As lunar calibration is also a well-developed technique in reflective solar bands, Wu proposed an absolute radiometric calibration method based on FY-3D/MERSI-II lunar observation data [7]. The results from the lunar calibration compared with the prelaunch coefficient are listed in Figure 12 and Table 10.…”
Section: Comparison Of Calibration Coefficientsmentioning
confidence: 99%
See 1 more Smart Citation
“…The results from the lunar calibration compared with the prelaunch coefficient are listed in Figure 12 and Table 10. As lunar calibration is also a well-developed technique in reflective solar bands, Wu proposed an absolute radiometric calibration method based on FY-3D/MERSI-II lunar observation data [7]. The results from the lunar calibration compared with the prelaunch coefficient are listed in Figure 12 and Table 10.…”
Section: Comparison Of Calibration Coefficientsmentioning
confidence: 99%
“…Wu et al proposed an absolute radiometric calibration method based on FY-3D/MERSI-II lunar observation data. Meteorological satellites such as FY-3D are equipped with ocean color (OC) sensors [ 7 ]. However, no relevant research has conducted a separate surface vicarious radiometric calibration for the OC bands.…”
Section: Introductionmentioning
confidence: 99%
“…At present, a range of sophisticated satellite systems and instruments from various countries play a crucial role in this field. These include the Hyperion, MODIS (Moderate Resolution Imaging Spectroradiometer) [10], Hyperion [11], GOES (Geostationary Operational Environmental Satellites) [12], SeaWiFS [13,14], S-NPP (Suomi National Polar-orbiting Partnership) [15] from the USA, Hodoyoshi-1 [16], and the FY meteorological satellite [17] from the USA, as well as Japan's microsatellite Hodoyoshi-1 and China's meteorological satellite series Fengyun. These satellite systems have executed observational experiments on the Moon employing a variety of payloads.…”
Section: Introductionmentioning
confidence: 99%
“…The approach of using the Moon as a reference point for satellite calibration has sparked considerable research attention [5][6][7][8][9]. At present, many satellites, inclusive of MODIS (Moderate Resolution Imaging Spectroradiometer) [10], Hyperion [11], GOES (Geostationary Operational Environmental Satellites) [12], SeaWiFS [13,14], S-NPP (Suomi National Polar-orbiting Partnership) [15] from the USA, Japan's Hodoyoshi-1 microsatellite [16], and China's Fengyun series of meteorological satellites [17], along with others, have carried out moon observation experiments employing diverse payloads. This international assortment of advanced satellite systems and instruments underscores the progression of global satellite technology and its role in environmental monitoring.…”
Section: Introductionmentioning
confidence: 99%
“…Opportunities for Earth-orbiting satellites to see the Moon are not costly; the Moon is sometimes observed by geosynchronous satellites in cold-space corners [26], LEO satellites can view the Moon periodically by arranging attitude maneuvers [27,28], and flagship satellites usually refrain from frequent large-angle maneuvers, but the Moon can appear unscheduled in the field of view (FOV) of satellites set up with a space-view port [29][30][31]. Such events can be predicted by spatial relations [32].…”
Section: Introductionmentioning
confidence: 99%