Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method
Land surface temperature (LST) has been effectively retrieved from thermal infrared (TIR)
satellite measurements under clear-sky conditions. However, TIR satellite data are often …
satellite measurements under clear-sky conditions. However, TIR satellite data are often …
Recovering land surface temperature under cloudy skies considering the solar‐cloud‐satellite geometry: Application to MODIS and Landsat‐8 data
Clouds play a significant role in the derivation of land surface temperature (LST) from optical
remote sensing. The estimation of LST under cloudy sky conditions has been a great …
remote sensing. The estimation of LST under cloudy sky conditions has been a great …
Estimation of all-sky 1 km land surface temperature over the conterminous United States
Land surface temperature (LST) is a crucial parameter for hydrology, climate monitoring, and
ecological and environmental research. LST products from thermal infrared (TIR) satellite …
ecological and environmental research. LST products from thermal infrared (TIR) satellite …
Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data
By characterizing high-frequency surface thermal dynamics at a medium spatial scale,
hourly land surface temperatures (LST), retrieved from geostationary satellite thermal …
hourly land surface temperatures (LST), retrieved from geostationary satellite thermal …
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 …
diurnal variations in land surface temperatures (LSTs) linked to the land–atmosphere energy …
All-sky 1 km MODIS land surface temperature reconstruction considering cloud effects based on machine learning
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 …
research fields because LST plays a crucial role in the energy exchange between the …
Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data
Land surface temperature (LST) is a critical parameter in environmental studies and
resource management. The MODIS LST data product has been widely used in various …
resource management. The MODIS LST data product has been widely used in various …
Global spatiotemporally continuous MODIS land surface temperature dataset
Land surface temperature (LST) plays a critical role in land surface processes. However, as
one of the effective means for obtaining global LST observations, remote sensing …
one of the effective means for obtaining global LST observations, remote sensing …
Land surface temperature retrieval at high spatial and temporal resolutions over the southwestern United States
Land surface temperature (LST) and its diurnal variation are important when evaluating
climate change, land‐atmosphere energy exchange, and the global hydrological cycle …
climate change, land‐atmosphere energy exchange, and the global hydrological cycle …
A generalized split-window algorithm for retrieving land-surface temperature from space
Z Wan, J Dozier - IEEE Transactions on geoscience and remote …, 1996 - ieeexplore.ieee.org
Proposes a generalized split-window method for retrieving land-surface temperature (LST)
from AVHRR and MODIS data. Accurate radiative transfer simulations show that the …
from AVHRR and MODIS data. Accurate radiative transfer simulations show that the …