Tsukuba, Japan—Forests, known as nature's "green dams," play a crucial role in replenishing Earth's groundwater reserves. However, overcrowding in planted forests due to lack of maintenance activities ...

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 research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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, ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Despite the relevance of smart sustainable city governance and immersive virtual worlds, only limited research has been conducted on this topic. I contribute to the literature on big data-driven urban ...

Add Python to Your Modern GIS Toolkit. Python, that high-level, interpreted programming language known for its simplicity, readability, versatility, and library support, is changing the face of ...

From left: Cohen, Gopinath, Krueper in the lab. Their paper, “Realistic model of entanglement-enhanced sensing in optical fibers,” was published in Optics Express earlier this year. Research into ...