{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:41:30Z","timestamp":1780609290578,"version":"3.54.1"},"reference-count":22,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T00:00:00Z","timestamp":1675036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2021YFC3000300"],"award-info":[{"award-number":["2021YFC3000300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this study, we compare the data of the advanced geostationary radiation imager (AGRI) on board the FY-4B and the advanced meteorological imager (AMI) on board the GK-2A, in terms of overall data, different reflectivity\/brightness temperature intervals, different regions, and different underlying surfaces. The results show that the AGRI and AMI data are generally consistent; the mean biases for reflectivity channels show a range of 0.50% to 1.69%, with channel VIR004 being exceptionally good, while brightness temperature (TB) differences in the IR channels ranging from 0.11 to 0.57 K, with channel IR120 being the most accurate. The reflectivity of the AGRI is higher than that of the AMI in terms of mean bias. The dispersion of the reflectivity difference between the AGRI and AMI is smaller at the short-wavelength channels than that at the longer-wavelength channels. The TB data observed by the AGRI are higher than those of AMI at conditions above 310 K. In the case of observing the same target, the difference in infrared brightness temperature due to the random noise signal is small. The differences between the two sensors can be considerably reduced by revising mean biases. In the following studies of quantitative product algorithms, the characteristics of sensor data need to be further analyzed in detail.<\/jats:p>","DOI":"10.3390\/rs15030779","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T10:19:28Z","timestamp":1675073968000},"page":"779","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Cross-Comparison of Radiation Response Characteristics between the FY-4B\/AGRI and GK-2A\/AMI in China"],"prefix":"10.3390","volume":"15","author":[{"given":"Lianni","family":"Xie","sequence":"first","affiliation":[{"name":"Heilongjiang Eco-Meteorology Center, Heilongjiang Meteorological Bureau, Harbin 150030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3217-2865","authenticated-orcid":false,"given":"Shuang","family":"Wu","sequence":"additional","affiliation":[{"name":"Heilongjiang Eco-Meteorology Center, Heilongjiang Meteorological Bureau, Harbin 150030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronghua","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China"},{"name":"Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China"},{"name":"Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuomin","family":"Xu","sequence":"additional","affiliation":[{"name":"Heilongjiang Eco-Meteorology Center, Heilongjiang Meteorological Bureau, Harbin 150030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Cao","sequence":"additional","affiliation":[{"name":"Harbin Meteorological Observatory, Heilongjiang Meteorological Bureau, Harbin 150030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,30]]},"reference":[{"key":"ref_1","first-page":"197","article-title":"Application of grassland fire monitoring based on Himawari-8 geostationary meteorological satellite data","volume":"26","author":"Chen","year":"2017","journal-title":"J. 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