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The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the 4km hourly all-sky SLUR product derived by the hybrid method under clear-sky conditions and the machine learning method under cloudy-sky conditions from the FY-4A/AGRI thermal infrared data, covering the AGRI 4km nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W). The in-situ validation results show that the bias (RMSE) of the retrieved AGRI SLUR are -0.67 (18.5) W/m2 under clear-sky conditions, 1.05 (23.77) W/m2 under cloudy-sky conditions, and -0.26 (19.87) under all-sky conditions, respectively. The temporal resolution and spatial resolution of this dataset are one hour and 4km, respectively. This is the ELITE SLUR product from October to December 2019. Please click here to download the ELITE SLUR product from July to September 2019. Dataset Characteristics: Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W) Temporal Coverage: 2019 Spatial Resolution: 4 km (subsatellite point) Temporal Resolution: one hour Data Format: NC Scale: 0.01 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
surface longwave upward radiaiton, thermal infrared remote sensing, surface radiation budget, FY-4A/AGRI
surface longwave upward radiaiton, thermal infrared remote sensing, surface radiation budget, FY-4A/AGRI
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