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

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

As presented by R. Kemker, C. Salvaggio, and C. Kanan in "Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning", ISPRS Journal of Photogrammetry and Remote ...