In remote sensing (RS), use of single optical sensors is frequently inadequate for practical
Earth observation applications (eg, agricultural, forest, ecology monitoring) due to trade-offs …

Land surface temperature (LST) retrieved from moderate resolution or downscaled from
coarse thermal infrared (TIR) data is one of key environment parameters. Over the last four …

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) …

Spatio-temporal fusion is a technique used to produce images with both fine spatial and
temporal resolution. Generally, the principle of existing spatio-temporal fusion methods can …

All-weather remotely sensed land surface temperature (LST) with a 1-km resolution from
combined satellite passive microwave (MW) and thermal infrared (TIR) remote sensing data …

Southern European functional urban areas (FUAs) are increasingly subject to heatwave
(HW) events, calling for anticipated climate adaptation measures. In the urban context, such …

Downscaling land surface temperatures (LST) from satellite imagery is essential for many
fine-scale applications. However, the accuracy of the downscaling is often limited by …

Abstract The Terra/Aqua MODerate resolution Imaging Spectroradiometer (MODIS) data
have been used widely for global monitoring of the Earth's surface due to their daily fine …

Kernel-based and fusion-based methods have been widely used to downscale satellite-
derived land surface temperatures (LSTs) for obtaining LSTs with high spatiotemporal …

Environmental exposures are increasingly investigated as possible drivers of health
behaviours and disease outcomes. So-called exposome studies that aim to identify and …