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) ...

The persistent challenge in remote sensing and cartographic science lies in reconciling the geometric fidelity of vectorized outputs with real-world cartographic specifications, while simultaneously ...

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).

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 ...

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

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 online and on-campus remote sensing for natural resources certificate program delivers the hands-on experience and technical knowledge needed to excel in natural resources research and management.

The sun is very far away and extremely hot. In order to study the sun we need specialized equipment that looks at it using different wavelengths. Using different wavelengths provides us with a variety ...