Efforts to combine satellite images from different sources are particularly needed in Land
Surface Temperature-based (LST) studies. This research proposes for the first time, to our …

In remote sensing applications, data fusion is a combination of satellite images from different
sources, aimed to improve the spatial and/or temporal resolution of the final output. This …

Global and regional climate models tend to underestimate temperatures over urban areas.
This limitation is exacerbated in complex-topography regions, where coarse spatial …

We propose a cloud-based, open-source, user-friendly, highly-customizable, and globally-
available 30-m system, named SUHI-GEE. This system can conduct stepwise regressions of …

The open-source fully-automated Surface Energy Balance Algorithm for Land-Improved
(SEBALI) Google Earth Engine (SEBALIGEE) estimates 30-m actual evapotranspiration (ET) …

This study developed a precise land cover model to predict the shifts from pervious to
impervious surfaces in the Chesapeake watershed. Utilizing 1 m resolution longitudinal land …

Downscaling is a particularly needed process in many environmental, social and
governance applications at the fine scale. The need for an automated and reliable very high …

An open source computer algorithm, the Surface Energy Balance Algorithm for Land-
Improved (SEBALI), was designed to estimate actual evapotranspiration (ET) at a basin …