The U.S. Naval Research Laboratory launched a remote sensing experiment to sharpen artificial intelligence applications in hyperspectral imaging across ...

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

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 ...

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.

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

Geostationary satellite observations with remote sensing techniques can provide the distributions of cloud top height (CTH), cloud optical thickness (COT) and cloud-particle effective radius (CER).

A research team led by Becquerel Sweden has developed a generalizable snow loss model to estimate snow-induced PV power losses on an hourly basis. It relies on PV system data derived solely from ...

The Hong Kong University of Science and Technology (HKUST) announced today that it will launch a multispectral optical satellite at the Jiuquan Satellite Launch Center in Gansu with Chang Guang ...

Bolton, Massachusetts, Jan. 07, 2026 (GLOBE NEWSWIRE) -- As hyperspectral applications increasingly move from research into real-world and production environments, Headwall today announced the ...

SkyWatch Space Applications Inc. (“SkyWatch”), a Kitchener-based space technology startup, and Xplore Inc., a commercial space company providing Space as a Service® today announced they have signed a ...