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 ...

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

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 ...

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 ...

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, ...

The group combined machine-learning algorithms and complex adaptive filters to produce better results when surveying dead trees compared with the forest remote sensing models intended for general use.

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

I am an environmental engineer and earth scientist specializing in morphodynamic modeling andremote sensing, with a focus on how human activities and climate change influence hydraulicand sediment ...