The GloSVeT dataset provides global 0.05° (~5 km) monthly mean surface soil and vegetation component temperatures for the period 2003–2023. The component temperatures were retrieved using the FuSVeT algorithm based on MODIS land surface temperature (LST) products and ERA5-Land auxiliary data (Liu et al., 2025, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2024.114564).
The dataset contains 504 monthly GeoTIFF files (UInt16, scale factor = 0.02, missing data = 65535, unit = K), organized into 84 compressed packages by year, half-year period (01–06 and 07–12), and component (soil/vegetation).
The dataset covers global land areas excluding Antarctica and can be used for studies of land–atmosphere interactions, surface energy balance partitioning, and ecosystem thermodynamics.
The component temperatures of this dataset are based on MODIS surface temperature products and ERA5 Land auxiliary data, and are inverted using the FuSVeT algorithm (Liu et al., 2025, Environmental Remote Sensing), https://doi.org/10.1016/j.rse.2024.114564 ）.
Based on MODIS surface temperature products and ERA5 Land auxiliary data, it is obtained by inversion using the FuSVeT algorithm.
Validation against flux observation networks indicates a root-mean-square error of about 2.0 K, demonstrating good consistency and physical reliability.
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
10.5281/zenodo.17461084
