Li et al. (2026) A Two-Step Spatial Downscaling Method for Latent Heat Flux to Quantify Urban-Rural Gradients
Identification
- Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Year: 2026
- Date: 2026-01-01
- Authors: Keran Li, Xi Wang, Jinbao Jiang
- DOI: 10.1109/jstars.2026.3677837
Research Groups
[Not specified in the provided text.]
Short Summary
This paper introduces a novel two-step spatial downscaling method for latent heat flux, designed to accurately quantify and resolve urban-rural gradients.
Objective
- To develop and apply a two-step spatial downscaling method for latent heat flux.
- To quantify urban-rural gradients of latent heat flux using the developed method.
Study Configuration
- Spatial Scale: From coarser resolution (e.g., satellite pixel scale, typically hundreds of meters to kilometers) to finer, sub-urban scales (e.g., tens of meters to hundreds of meters) to resolve urban-rural transitions.
- Temporal Scale: Not explicitly stated, but typically involves instantaneous, daily, or monthly latent heat flux estimations.
Methodology and Data
- Models used: A novel two-step spatial downscaling algorithm (specific name not provided).
- Data sources: Likely satellite-derived latent heat flux products, potentially combined with auxiliary data such as land cover, surface temperature, and meteorological observations.
Main Results
The developed two-step method successfully downscales latent heat flux, enabling the quantification of distinct urban-rural gradients. (Specific quantitative results are not provided in the given text).
Contributions
- Development of a novel and robust two-step spatial downscaling methodology specifically designed for latent heat flux.
- Enhanced capability to resolve and quantify fine-scale urban-rural gradients of latent heat flux, improving understanding of urban energy balance.
Funding
[Not specified in the provided text.]
Citation
@article{Li2026TwoStep,
author = {Li, Keran and Wang, Xi and Jiang, Jinbao},
title = {A Two-Step Spatial Downscaling Method for Latent Heat Flux to Quantify Urban-Rural Gradients},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year = {2026},
doi = {10.1109/jstars.2026.3677837},
url = {https://doi.org/10.1109/jstars.2026.3677837}
}
Original Source: https://doi.org/10.1109/jstars.2026.3677837