ELITE land surface temperature: FY-3D/MERSI-ⅡCloudy-Sky LST (2020)

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 ELITE Cloudy-Sky LST dataset over China landmass(2020). First, an improved split-window algorithm was used to obtain the clear-sky LST. Then, under the framework of the SEB theory, a unique way was proposed to solve the temperature difference between the cloudy-sky LST and hypothetical clear-sky LST caused by cloud radiative effects. The in situ validation results show that the bias (RMSE) of the MERSI Cloudy-Sky LST is 0.02 K (3.77 K). This is the ELITE FY-3D/MERSI-ⅡCloudy-Sky LST product in 2020. Dataset Characteristics: Spatial Coverage: China Temporal Coverage: 2020 Spatial Resolution: 1 KM Temporal Resolution: 1 times per day Data Format: Tiff Citation (Please cite these papers when using the data): Wu, C., Liu, W., Meng, X., Dong, L., & Cheng, J. (2025). Estimating cloudy-sky Land Surface Temperature from FY-3D/MERSI-II using the surface energy balance theory. IEEE Geoscience and Remote Sensing Letters. If you have any questions, please contact Prof. Jie Cheng ([e-mail]).