ELITE land surface temperature: Himawari-8/AHI hourly clear-sky 0.02° 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 0.02 ° hourly clear-sky LST dataset derived by the iTES algorithm (Zhou and Cheng, 2020) from the Himawari-8/AHI thermal infrared data, covering the AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W). The in-situ validation results show that the bias and RMSE of the retrieved AHI LST are 0.19 and 2.93 K in the daytime, and −0.43 and 1.95 K in the nighttime, respectively. The temporal resolution and spatial resolution of this dataset are one hour and 0.02°, respectively.

This is the ELITE Himawari-8/AHI clear-sky LST product in 2020. Please click here to download the ELITE LST product in 2019 and click here to download the ELITE LST product in 2021.

Dataset Characteristics:

• Spatial Coverage: AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W)
• Temporal Coverage: 2020
• Spatial Resolution: 0.02°
• Temporal Resolution: one hour
• Data Format: HDF
• Scale: 0.01

Citation (Please cite these papers when using the data):

1. Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7105-7124.

If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).