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

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 ...

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

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.

The results show that the peak annual average non-photosynthetic vegetation coverage accounts for about 37 percent of China's total land area and is increasing significantly at a rate of 0.14 percent ...

Pakistan has moved around 3,000 newly developed wheat lines into field evaluation after accelerating early-stage breeding through a ...

The Earth remote sensing satellites will ensure navigation safety, including traffic on the Northern Sea Route ...

The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) ...

NRL’s CHROMA experiment collected multi-platform data to improve AI-driven material detection in complex littoral environments.

WASHINGTON – The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence ...