A review of reconstructing remotely sensed land surface temperature under cloudy conditions

Y Mo, Y Xu, H Chen, S Zhu - Remote Sensing, 2021 - mdpi.com
Land surface temperature (LST) is an important environmental parameter in climate change,
urban heat islands, drought, public health, and other fields. Thermal infrared (TIR) remote …

A global seamless 1 km resolution daily land surface temperature dataset (2003–2020)

T Zhang, Y Zhou, Z Zhu, X Li… - Earth System Science …, 2021 - essd.copernicus.org
Land surface temperature (LST) is one of the most important and widely used parameter for
studying land surface processes. Moderate Resolution Imaging Spectroradiometer (MODIS) …

Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data

A Jia, S Liang, D Wang - Remote Sensing of Environment, 2022 - Elsevier
By characterizing high-frequency surface thermal dynamics at a medium spatial scale,
hourly land surface temperatures (LST), retrieved from geostationary satellite thermal …

A two-step deep learning framework for mapping gapless all-weather land surface temperature using thermal infrared and passive microwave data

P Wu, Y Su, S Duan, X Li, H Yang, C Zeng, X Ma… - Remote Sensing of …, 2022 - Elsevier
Blending data from thermal infrared (TIR) and passive microwave (PMW) measurements is a
promising solution for generating the all-weather land surface temperature (LST). However …

Estimation of all-sky 1 km land surface temperature over the conterminous United States

B Li, S Liang, X Liu, H Ma, Y Chen, T Liang… - Remote Sensing of …, 2021 - Elsevier
Land surface temperature (LST) is a crucial parameter for hydrology, climate monitoring, and
ecological and environmental research. LST products from thermal infrared (TIR) satellite …

Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data

J Ma, H Shen, P Wu, J Wu, M Gao, C Meng - Remote Sensing of …, 2022 - Elsevier
Land surface temperature (LST) is a key parameter when monitoring land surface
processes. However, cloud contamination and the tradeoff between the spatial and temporal …

Comparison of gap-filling methods for producing all-weather daily remotely sensed near-surface air temperature

Y Mo, Y Xu, Y Liu, Y Xin, S Zhu - Remote Sensing of Environment, 2023 - Elsevier
Thermal infrared remotely sensed near-surface air temperature (T a) can provide gridded
temperature information at relatively high spatial and temporal resolutions, and such …

[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 …

An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples

A Oliveira, A Lopes, S Niza, A Soares - Science of the total environment, 2022 - Elsevier
Southern European functional urban areas (FUAs) are increasingly subject to heatwave
(HW) events, calling for anticipated climate adaptation measures. In the urban context, such …