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

Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing ...

Satellite-based remote sensing detection of methane distribution at landfill sites. Panels a-c depict open dumpsites, while panels d-f show engineered sanitary landfills. Methane is a potent ...

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

Researchers have introduced StarFusion, a cutting-edge spatiotemporal fusion method that significantly improves the temporal resolution and fusion accuracy of high-resolution satellite imagery in ...

Regular cameras trade off detail, size, and distance. This system skips lenses, using sensors and computation to capture tiny details.

China launched a remote-sensing satellite called Yaogan-41 into geostationary orbit (GEO) on December 15, 2023. Analysts expect the satellite to settle into a position that would allow continuous ...

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 ...

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 ...

Andrea Eveland, Ph.D., principal investigator and member at the Donald Danforth Plant Science Center, will lead a ...