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 instrument—that can observe cloud structures at the scale of a single centimeter. The ...

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 ...

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 ...

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

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

A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...

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 ...