Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...

Rivers are dynamic and complex systems shaped by interactions among flow regime, sediment transport, water quality, and ...

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 ...

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).

Like every other field, the field of remote sensing is undergoing one of the most transformative shifts in its history in this era of artificial ...

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, ...

CUHK No.1, the world's first artificial intelligence (AI) large-model satellite developed by the Chinese University of Hong Kong (CUHK), is launched from waters off Yangjiang in S ...

Researchers have developed nanodiamond sensors with nitrogen-vacancy (NV) centers, offering exceptional brightness and spin properties for quantum sensing and bioimaging. These nanodiamonds outperform ...

Tool uses remote sensing to reduce uncertainties regarding agricultural losses, contributing to public policy.