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

As Kansas agriculture faces increasing challenges from weather variability and input costs, remote sensing offers producers a ...

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

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

Remote-sensing technology allows engineers and scientists to map land, forests, water bodies, and minerals without physically ...

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

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

Using satellites and drones, they can do many things: check how healthy a forest is, locate water deep underground, or even ...

Remote Sensing Scientists use sensors to analyze data and solve regional, national, and global problems in areas such as natural resource management, urban planning, and climate and weather prediction ...