Missing information reconstruction of remote sensing data: A technical review

H Shen, X Li, Q Cheng, C Zeng, G Yang… - … and Remote Sensing …, 2015 - ieeexplore.ieee.org
Because of sensor malfunction and poor atmospheric conditions, there is usually a great
deal of missing information in optical remote sensing data, which reduces the usage rate …

[HTML][HTML] 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 …

Global spatiotemporally continuous MODIS land surface temperature dataset

P Yu, T Zhao, J Shi, Y Ran, L Jia, D Ji, H Xue - Scientific Data, 2022 - nature.com
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 …

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) …

Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite …

W Zhao, SB Duan - Remote Sensing of Environment, 2020 - Elsevier
There is considerable demand for satellite observations that can support spatiotemporally
continuous map** of land surface temperature (LST) because of its strong relationships …

A framework for the retrieval of all-weather land surface temperature at a high spatial resolution from polar-orbiting thermal infrared and passive microwave data

SB Duan, ZL Li, P Leng - Remote Sensing of Environment, 2017 - Elsevier
Land surface temperature (LST) is an important parameter associated with the land-
atmosphere interface. Satellite remote sensing is the most effective method of measuring …

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) …

Creating a seamless 1 km resolution daily land surface temperature dataset for urban and surrounding areas in the conterminous United States

X Li, Y Zhou, GR Asrar, Z Zhu - Remote Sensing of Environment, 2018 - Elsevier
High spatiotemporal land surface temperature (LST) datasets are increasingly needed in a
variety of fields such as ecology, hydrology, meteorology, epidemiology, and energy …

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 …

Spatial differentiation of determinants for water conservation dynamics in a dryland mountain

H Xu, C Zhao, X Wang, S Chen, S Shan, T Chen… - Journal of Cleaner …, 2022 - Elsevier
Water conservation (WC) is a key ecosystem service offered by dryland mountains given its
effect in flood prevention and drought relief. However, the consequence of climate change …