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

Cloud removal techniques are pivotal in enhancing the usability of remote sensing imagery by recovering ground information obscured by cloud cover. These methods address the fundamental challenge ...

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).

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

The development of compact lightweight analogue edge detecting image processors is of particular interest for remote sensing applications such as environmental monitoring and surveillance, due to its ...

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.

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.

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 ...

Contains updated lectures of a European Socrates workshop organized by the Department of Environmental Studies of the University of Nijmegen on Sept. 7-8, 1998. Application of geographic information ...