ELITE land surface temperature: Landsat LST over CONUS (2014.1)

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 Landsat LST dataset over the CONUS generated by the radiative transfer method (Cheng et al., 2021).  Firstly, a new scheme  was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method.

This is the ELITE Landsat LST dataset from Landsat 8 in January 2014. Please click here to download the ELITE Landsat LST from Landsat 8 in July 2014.

Dataset Characteristics:

• Spatial Coverage: Continental United States
• Temporal Coverage: 2014.1
• Spatial Resolution: 30m
• Temporal Resolution: 16 days
• Data Format: Geotiff
• Scale: 0.01

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

1. Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032

2. Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474

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