ELITE emissivity: global land 500m daily BBE at SIN Grid (2022_101-200)

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 global land BBE product at 500m spatial resolution and 1-day temporal resolution. It is provided on a Sinusoidal grid and ranges from 2016 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2014; 2016).

This is the ELITE BBE product in 2022 (DOY: 101-200). Please click here to download the ELITE BBE product in 2022 (DOY: 001-100) and click here to download the ELITE BBE product in 2022 (DOY: 201-300).

Dataset Characteristics:

• Spatial Coverage: Global
• Temporal Coverage: 2022
• Spatial Resolution: 500 m
• Temporal Resolution: 1-day
• Data Format: HDF
• Scale: 0.0001

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

1. Cheng, J., & Liang, S. (2014). Estimating the broadband longwave emissivity of global bare soil from the MODIS shortwave albedo product. Journal of Geophysical Research Atmospheres, 119(2), 614-634.
2. Cheng, J., Liang, S., Verhoef, W., Shi, S., & Liu, Q. (2016). Estimating the Hemispherical Broadband Longwave Emissivity of Global Vegetated Surfaces Using a Radiative Transfer Model. IEEE Transactions on Geoscience and Remote Sensing, 54(2), 905-917.

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