Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

Fire is a widespread Earth system process with important carbon and climate feedbacks.
Multispectral remote sensing has enabled map** of global spatiotemporal patterns of fire …

Fire risk map**–map** 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 …

Vitality loss of trees caused by extreme weather conditions, drought stress or insect
infestations, are expected to increase with ongoing climate change. The detection of vitality …

In real applications, it is necessary to classify new unseen classes that cannot be acquired in
training datasets. To solve this problem, few-shot learning methods are usually adopted to …

This paper discusses the use of spatial data for risk and natural disaster management. The
importance of remote-sensing (RS), Geographic Information System (GIS) and Global …

Satellite images provide important data sources for monitoring flood disasters. However, the
trade-off between spatial and temporal resolutions of current satellite sensors limits their …

Satellite remote sensing, with its unique synoptic coverage capabilities, can provide
accurate and immediately valuable information on fire analysis and post-fire assessment …

Remote sensing data and methods are widely deployed in order to contribute to the
assessment of numerous components of earthquake risk. While for earthquake hazard …

In recent decades, the frequency and severity of wildfires have increased, especially in the
Mediterranean Basin. Aside from their direct effects, accelerated soil erosion is observed in …