Remote sensing scene classification assigns semantic labels to imagery captured by satellites, aircraft and unmanned aerial vehicles, enabling applications such as land-use monitoring, disaster ...

Landslide susceptibility assessment is essential for risk mitigation in regions affected by complex terrain and variable environmental conditions. This study proposes a hybrid deep learning framework ...

This Research Topic addresses critical limitations in conventional remote sensing for monitoring terrestrial ecosystems ...

Traditional methods of assessing damage after a disaster can take weeks or even months, delaying emergency response, insurance claims and long-term rebuilding efforts. New research might change that.

It started as a low, haunting roar building in the distance. It grew into a deafening thunder that drowned out all else. The sky turned an unnatural shade of green, then black. The wind lashed at ...