Abstract Forest Change Detection (FCD) is a critical component of natural resource
monitoring and conservation strategies, enabling informed decision-making. Various …

Change detection (CD) is a hot topic and has been applied in many fields. Very high
resolution (VHR) images contain the rich spatial information, and are widely used in CD …

Forest changes caused by fires, clear-cuts, and Land Use/Land Cover (LULC) changes
have negatively affected the climate, wildlife, and global ecosystem. By monitoring the forest …

In some remote sensing applications, such as unsupervised change detection, bitemporal
multispectral images must be first aligned/harmonized radiometrically. For doing so, Many …

Wetlands provide many benefits, such as water storage, flood control, transformation and
retention of chemicals, and habitat for many species of plants and animals. The ongoing …

Urban forests globally face severe degradation due to human activities and natural
disasters, making deforestation an urgent environmental challenge. Remote sensing …

ABSTRACT In recent years, Graph Neural Networks (GNN) have begun to receive extensive
attention from researchers. Subsequently, ViG was proposed and its performance in …

Forest burned area (FBA) detection using remote sensing (RS) data is critical for timely
forest management and recovery attempts after wildfires. This study introduces a dual-path …

Nowadays, unmanned aerial vehicle (UAV) remote sensing (RS) data are key operational
sources used to produce a reliable building damage map (BDM), which is of great …

Flood monitoring is of crucial importance for protecting lives and properties. Change
detection (CD) methods on multisource remote sensing images have been widely used for …