A stepwise downscaling method for generating high-resolution land surface temperature from AMSR-E data

Q Zhang, N Wang, J Cheng, S Xu - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
A stepwise downscaling method is proposed for generating high-resolution land surface
temperature (LST) from advanced microwave scanning radiometer for the Earth observing …

Spatial downscaling of MODIS land surface temperatures using geographically weighted regression: Case study in northern China

SB Duan, ZL Li - IEEE Transactions on Geoscience and …, 2016 - ieeexplore.ieee.org
Land surface temperatures (LSTs) at high spatial resolution are crucial for hydrological,
meteorological, and ecological studies. Downscaling LSTs from coarse resolution to finer …

A taylor expansion algorithm for spatial downscaling of MODIS land surface temperature

S Wang, Y Luo, M Li, K Yang, Q Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Land surface temperature (LST) with fine spatiotemporal resolution is a much-needed
parameter in the earth's surface system. The LST downscaling is an efficient way to improve …

A geographically and temporally weighted regression model for spatial downscaling of MODIS land surface temperatures over urban heterogeneous regions

Y Peng, W Li, X Luo, H Li - IEEE transactions on geoscience …, 2019 - ieeexplore.ieee.org
The fine spatial resolution (~ 100 m) land surface temperature (LST) is a key variable of
great concern in various environmental studies over urban heterogeneous regions. An …

Spatial downscaling of MODIS land surface temperature based on geographically weighted autoregressive model

S Wang, X Luo, Y Peng - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
Land surface temperature (LST) is a key parameter in numerous thermal environmental
studies. Due to technical constraints, satellite thermal sensors are unable to supply thermal …

Spatial downscaling of MODIS land surface temperature based on a geographically and temporally weighted autoregressive model

X Luo, Y Chen, Z Wang, H Li… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Land surface temperature (LST) is a key parameter in numerous environmental studies.
However, currently, there is no satellite sensor that can completely provide LST data with …

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 …

Developing a temporally land cover-based look-up table (TL-LUT) method for estimating land surface temperature based on AMSR-E data over the Chinese landmass

J Zhou, F Dai, X Zhang, S Zhao, M Li - International Journal of Applied …, 2015 - Elsevier
The land surface temperature (LST) is an important parameter when studying the interface
between the atmosphere and the Earth's surface. Compared to satellite thermal infrared …

An empirical algorithm for retrieving land surface temperature from AMSR‐E data considering the comprehensive effects of environmental variables

Q Zhang, J Cheng - Earth and Space Science, 2020 - Wiley Online Library
Microwave (MW) remote sensing has the potential to obtain all‐weather land surface
temperature (LST) and serves as a complement to the thermal‐infrared (TIR) LST under …

Fusion of all-weather land surface temperature from AMSR-E and MODIS data using random forest regression

Q Zhang, J Cheng, N Wang - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
On the basis of preceding study of microwave (MW) land surface temperature (LST)
downscaling, this letter proposed an all-weather LST fusion method based on random forest …