The increasing global concern about wildfires, mostly caused by people, has triggered the
development of human-caused fire occurrence models in many countries. The premise is …

Fire risk mapping–mapping the probability of fire occurrence and spread–is essential for pre-
fire management as well as for efficient firefighting efforts. Most fire risk maps are generated …

Wildfire is an environmental hazard that has both local and global effects, causing economic
losses and various severe environmental problems. Due to the adverse effects of climate …

Accurate estimates of wildfire probability and production of distribution maps are the first
important steps in wildfire management and risk assessment. In this study, geographical …

Wildfires represent a significant natural disaster with the potential to inflict widespread
damage on both ecosystems and property. In recent years, there has been a growing …

Wildfire continues to be a major environmental problem in the world. To help land and fire
management agencies manage and mitigate wildfire-related risks, we need to develop tools …

In this study, an open-source Google Earth Engine-based (GEE) system is proposed,
surnamed SEBALIGEE, based on the Surface Energy Balance for Land–Improved (SEBALI) …

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 …

The sea-level rise phenomenon affects several socio-economic and ecological aspects
worldwide, particularly in terms of coastal erosion and saltwater intrusion. While the …

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 …