Status, advancements and prospects of deep learning methods applied in forest studies

Ting Yun, Jian Li, Lingfei Ma, Ji Zhou, Ruisheng Wang, Markus P. Eichhorn, Huaiqing Zhang

Abstract: Highlights•Deliver a taxonomy of deep learning (DL) methods for various forest applications.•Review and analyze the merits & restrictions of DL technique in forest researches.•Summarize main forest datasets and discuss global distribution of related literature.•Enumerate future directions and challenges of DL technology in forest development.