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 ...

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 ...

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).

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, ...

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 ...

Since the early 2000s, ultra-wideband (UWB) technology has gradually found its way into a variety of commercial applications that require secure and fine-ranging capabilities. Well-known examples are ...

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

THE use of very high resolution (VHR) satellite imagery and remote sensing for monitoring farm-to-market roads (FMRs) has been found to be “accessible, efficient, and cost-effective,“ according to two ...