Dong et al. (2026) Complex-terrain correction of land surface temperature using a temporal–spatial coupling data-driven model
Identification
- Journal: Journal of Hydrology
- Year: 2026
- Date: 2026-04-01
- Authors: Ben Dong, Rongcai Song, Lirui Luo, X. W. Jiang, Haiwen Chen, Baojun Li, Feng Zheng, Yingchun Wang
- DOI: 10.1016/j.jhydrol.2026.135405
Research Groups
Ben Dong, Rongcai Song, Lirui Luo, Xiushi Jiang, Haiwen Chen, Bo Li, Feng Zheng, Yingchun Wang
Short Summary
This paper introduces a novel temporal–spatial coupling data-driven model designed to improve the accuracy of land surface temperature (LST) measurements in complex terrain by correcting for associated errors.
Objective
- To develop and apply a temporal–spatial coupling data-driven model for the correction of land surface temperature in complex terrain.
Study Configuration
- Spatial Scale: Not specified in the provided text.
- Temporal Scale: Not specified in the provided text.
Methodology and Data
- Models used: A temporal–spatial coupling data-driven model.
- Data sources: Not specified in the provided text.
Main Results
Not specified in the provided text, but the title implies the successful application of the developed model for LST correction in complex terrain.
Contributions
The primary contribution is the development and application of a new temporal–spatial coupling data-driven model specifically tailored for correcting land surface temperature in challenging complex terrain environments, addressing a known limitation in LST accuracy.
Funding
Not specified in the provided text.
Citation
@article{Dong2026Complexterrain,
author = {Dong, Ben and Song, Rongcai and Luo, Lirui and Jiang, X. W. and Chen, Haiwen and Li, Baojun and Zheng, Feng and Wang, Yingchun},
title = {Complex-terrain correction of land surface temperature using a temporal–spatial coupling data-driven model},
journal = {Journal of Hydrology},
year = {2026},
doi = {10.1016/j.jhydrol.2026.135405},
url = {https://doi.org/10.1016/j.jhydrol.2026.135405}
}
Original Source: https://doi.org/10.1016/j.jhydrol.2026.135405