A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering

S Xu, J Cheng - Remote Sensing of Environment, 2021 - Elsevier
Fusing high-level passive microwave (PMW) LST and thermal infrared (TIR) LST products is
a promising means of generating high-quality, all-weather land surface temperature (LST) …

[HTML][HTML] Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data

A Jia, S Liang, D Wang, L Ma… - Earth System Science …, 2023 - essd.copernicus.org
Land surface temperature (LST) plays a dominant role in the surface energy budget (SEB)
and hydrological cycling. Thermal infrared (TIR) remote sensing is the primary method of …

[HTML][HTML] TRIMS LST: a daily 1  all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022)

W Tang, J Zhou, J Ma, Z Wang, L Ding… - Earth System …, 2024 - essd.copernicus.org
Land surface temperature (LST) is a key variable within Earth's climate system and a
necessary input parameter required by numerous land–atmosphere models. It can be …

Estimating hourly all-weather land surface temperature from FY-4A/AGRI imagery using the surface energy balance theory

W Liu, J Cheng, Q Wang - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Thermal infrared (TIR) observations from geostationary satellites enable the retrieval of the
diurnal variations in land surface temperatures (LSTs) linked to the land–atmosphere energy …

Important role of precipitation in controlling a more uniform spring phenology in the Qinba Mountains, China

J Li, J Guan, W Han, R Tian, B Lu, D Yu… - Frontiers in Plant …, 2023 - frontiersin.org
Under global warming, the gradual pattern of spring phenology along elevation gradients
(EG) has significantly changed. However, current knowledge on the phenomenon of a more …

All-sky 1 km MODIS land surface temperature reconstruction considering cloud effects based on machine learning

D Cho, D Bae, C Yoo, J Im, Y Lee, S Lee - Remote Sensing, 2022 - mdpi.com
A high spatio-temporal resolution land surface temperature (LST) is necessary for various
research fields because LST plays a crucial role in the energy exchange between the …

Spatial downscaling of land surface temperature with the multi-scale geographically weighted regression

Z Xinming, S Xiaoning, L Pei, HU Ronghai - National Remote Sensing …, 2021 - ygxb.ac.cn
Due to the limitations of thermal infrared technology, a single sensor cannot provide both
high frequency and fine spatial resolution Land Surface Temperature (LST) data. For solving …

[PDF][PDF] 多尺度地理加权回归的地表温度降尺度研究

祝新明, 宋小宁, 冷佩, 胡容海 - 遥感学报, 2021 - researchgate.net
由于星载热红外传感器研发技术的局限性, 单一传感器尚不能提供兼具高频次,
高空间分辨率地表温度数据. 协同其他遥感辅助数据, 对低空间分辨率, 高时间频次地表温度产品 …

[HTML][HTML] The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation

X Pan, Z Wang, S Liu, Z Yang, R Guluzade… - International Journal of …, 2024 - Elsevier
Remotely sensed land surface temperature (LST) is critical for retrieving evapotranspiration
(ET). However, due to cloud contamination, LST is often limited to clear-sky conditions and …

[HTML][HTML] Cloud-covered MODIS LST reconstruction by combining assimilation data and remote sensing data through a nonlocality-reinforced network

Y Gong, H Li, H Shen, C Meng, P Wu - International Journal of Applied …, 2023 - Elsevier
Reconstruction of cloud-covered thermal infrared land surface temperature (LST) is vital for
the measurement of physical properties in land surface at regional and global scales. In this …