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Spatially continuous and high-resolution land surface temperature product generation: A review of reconstruction and spatiotemporal fusion techniques
Remotely sensed land surface temperature (LST) with spatial continuity and high
spatiotemporal resolution (hereafter referred to as high resolution) is a crucial parameter for …
spatiotemporal resolution (hereafter referred to as high resolution) is a crucial parameter for …
[HTML][HTML] Assessing and predicting land use/land cover, land surface temperature and urban thermal field variance index using Landsat imagery for Dhaka Metropolitan …
Climate change is occurring because of an increase in greenhouse gases such as carbon
dioxide, methane, and others, which act as a partial blanket for the planet and store solar …
dioxide, methane, and others, which act as a partial blanket for the planet and store solar …
Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach
Land surface temperature (LST) is among the most important variables in monitoring land
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait
Rapid urbanization owing to population growth and economic development has made
thermal environment-related studies increasingly prominent. This study aims to monitor and …
thermal environment-related studies increasingly prominent. This study aims to monitor and …
[HTML][HTML] The shadow effect on surface biophysical variables derived from remote sensing: a review
In remote sensing (RS), shadows play an important role, commonly affecting the quality of
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …
A two-step deep learning framework for map** gapless all-weather land surface temperature using thermal infrared and passive microwave data
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 …
promising solution for generating the all-weather land surface temperature (LST). However …
Reconstruction of land surface temperature under cloudy conditions from Landsat 8 data using annual temperature cycle model
Land surface temperature (LST) is an important parameter in the processes of energy
exchange and water cycle between the land surface and the atmosphere. The impact of …
exchange and water cycle between the land surface and the atmosphere. The impact of …
Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data
Land surface temperature (LST) is a key parameter when monitoring land surface
processes. However, cloud contamination and the tradeoff between the spatial and temporal …
processes. However, cloud contamination and the tradeoff between the spatial and temporal …
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 …
Global seamless and high-resolution temperature dataset (GSHTD), 2001–2020
Land surface temperature (Ts) and near-surface air temperature (Ta) are key parameters in
multiple research fields. In this study, a global seamless (without missing values) and high …
multiple research fields. In this study, a global seamless (without missing values) and high …