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 ...

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) ...

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).

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.

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 recent development in the utilization of flexible optical fiber sensors and the prospective application scenarios were then summarized, which encompass human activity monitoring and healthcare, ...

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 ...

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