Climate change is a global issue with significant impacts on ecosystems and human
populations. Accurately classifying land cover from multi-spectral satellite imagery plays a crucial …

The recent surge in wildfire incidents, exacerbated by climate change, demands effective
prediction and monitoring solutions. This study introduces a novel deep learning model, the …

Formaldehyde (HCHO) is one of the most significant atmospheric trace gases and a precursor
of tropospheric ozone. Modelling and monitoring HCHO is essential for protecting public …

Solar Photovoltaic (PV) technology is increasingly recognized as a pivotal solution in the
global pursuit of clean and renewable energy. This technology addresses the urgent need for …

Wildfires pose a significant and recurring challenge in North America, impacting both
human and natural environments. The size and severity of wildfires in the region have been …

… In this study, we evaluate the safety and feasibility of the STAT RAD workflow. … the STAT
RAD workflow, present the results of our evaluation, and highlight the changes to the STAT RAD …

Gross Primary Productivity (GPP) is a critical measure of carbon uptake by terrestrial vegetation,
essential for understanding the global carbon cycle and developing climate mitigation …

Materials synthesized by organisms, such as bones and wood, combine the ability to self-repair
with remarkable mechanical properties. This multifunctionality arises from the presence …

Sugar kelp (Saccharina latissima) is an economically important species, and natural populations
provide diverse and productive habitats as well as important ecosystem services. For …

The bacterial extracellular matrix forms autonomously, giving rise to complex material
properties and multicellular behaviors. Synthetic matrix analogues can replicate these functions …