LFSR: Low-resolution Filling then Super-resolution Reconstruction framework for gapless all-weather MODIS-like land surface temperature generation

C Li, P Wu, SB Duan, Y Jia, S Sun, C Shi, Z Yin… - Remote Sensing of …, 2025 - Elsevier
Due to the great advancements in land surface models (LSMs), integrating data from thermal
infrared (TIR) and LSMs is a promising way for obtaining gapless all-weather land surface …

[HTML][HTML] Two-step fusion framework for generating 10 m resolution soil moisture with high accuracy in the cotton fields of southern **njiang

S Li, S Jiang, N Song, Y Han, J Wang - Industrial Crops and Products, 2025 - Elsevier
A timely and accurate high-resolution evaluation of soil moisture dynamics is imperative for
drought monitoring and irrigation planning in cotton fields, especially in water-deficient …

A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature

J Ma, J Guo, J Wu, H Shen - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
By depicting high-frequency surface thermal dynamics, hourly gapless land surface
temperature (LST) data at a moderate spatial scale are crucial for various thermal …

A Physically Constrained Downscaling Framework for Hourly, All-sky Land Surface Temperature (LST) in Mountainous Regions

Y Li, Q He, Y Liu, Y Yan, H Zhang… - IEEE Journal of Selected …, 2025 - ieeexplore.ieee.org
High-resolution, all-weather Land Surface Temperature (LST) data on a global scale are
pivotal for accurately reflecting the thermal feedback from the underlying surface. We …

[HTML][HTML] Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation …

K Kustura, D Conti, M Sammer, M Riffler - Remote Sensing, 2025 - mdpi.com
Addressing global warming and adapting to the impacts of climate change is a primary focus
of climate change adaptation strategies at both European and national levels. Land surface …

[HTML][HTML] Estimation of 1 km Dawn–Dusk All-Sky Land Surface Temperature Using a Random Forest-Based Reanalysis and Thermal Infrared Remote Sensing Data …

Y Dong, X Zhang, X Hu, J Shang… - Sensors (Basel …, 2025 - pmc.ncbi.nlm.nih.gov
All-sky 1 km land surface temperature (LST) data are urgently needed. Two widely applied
approaches to derive such LST data are merging thermal infrared remote sensing (TIR) …