For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...

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 ...

Recently, a collaborative team from multiple institutions, including CIOMP, published a review article in Light: Science & Applications, systematically expounding on the cutting-edge developments in ...

Themed ‘Harnessing GIS and remote sensing for sustainable development: A practical application in geographical research’, the workshop was aimed at strengthening both conceptual understanding and ...

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.

to join the newly established Center of Excellence in Peatlands, Climate Change and Ecological Restoration (PeatResC), funded by the Research Council of Finland, for a three-year position. The ...

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, ...

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