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 ...

In a vineyard in the Finger Lakes region of New York, a robot trundles along. Resembling a cable-covered WALL-E with a superlong neck, the rolling bot features sensors on top that scan a row of ...

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.

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 ...

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 ...

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, ...

Keywords: Hurricane Gustav. Reconnaissance reports. New Orleans. Hurricane Katrina. Hospitals. Acute care facilities. Disaster resiliency. Damage. Remote sensing ...