Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

Shadow detection and removal in remote sensing images is a critical research area that underpins the accurate interpretation of remotely sensed data. Shadows, which are inevitably cast by buildings, ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...