Abstract: Protecting and sustain ably utilizing forest resources is of paramount importance for systematically monitoring and analyzing changes in forest cover across Yunnan Province. In this study, ...

Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...

Aspens and standing dead trees, which are important to forest biodiversity, can be reliably identified from openly available aerial imagery using methods developed by researchers from the University ...