Forests in California are struggling to recover after wildfires. Studies show tree loss is rising fast while replanting ...

The number of hours that students across Oregon are scheduled to spend in school each year varies tremendously from district to district, particularly in high school, a first of its kind study shows.

Abstract: Tree species classification is fundamental for forest inventory and sustainable silviculture. Airborne hyperspectral images (HSIs) can capture subtle spectral differences between tree ...

In the far southwest of Uganda, within shouting distance of its borders with Rwanda and Congo, lies one of the most ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Abstract: Tree-based ensemble methods remain central to structured and tabular classification tasks; however, classical Random Forest and boosting approaches exhibit limitations in modeling complex ...