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Missing information reconstruction of remote sensing data: A technical review
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 …
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 …
urban heat islands, drought, public health, and other fields. Thermal infrared (TIR) remote …
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 …
A global seamless 1 km resolution daily land surface temperature dataset (2003–2020)
Land surface temperature (LST) is one of the most important and widely used parameter for
studying land surface processes. Moderate Resolution Imaging Spectroradiometer (MODIS) …
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 …
There is considerable demand for satellite observations that can support spatiotemporally
continuous map** of land surface temperature (LST) because of its strong relationships …
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
Land surface temperature (LST) is an important parameter associated with the land-
atmosphere interface. Satellite remote sensing is the most effective method of measuring …
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
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) …
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
High spatiotemporal land surface temperature (LST) datasets are increasingly needed in a
variety of fields such as ecology, hydrology, meteorology, epidemiology, and energy …
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
Land surface temperatures (LSTs) at high spatial resolution are crucial for hydrological,
meteorological, and ecological studies. Downscaling LSTs from coarse resolution to finer …
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 …
effect in flood prevention and drought relief. However, the consequence of climate change …