Qiangxin Ou

Individual Tree Diameter Growth Models of Larch–Spruce–Fir Mixed Forests Based on Machine Learning Algorithms

Qiangxin Ou, Xiangdong Lei, Chenchen Shen · Forests · 2019 · 64 citations · Full text

Natural Resources, Ecology, Forestry +17

Using machine learning algorithms to estimate stand volume growth of Larix and Quercus forests based on national-scale Forest Inventory data in China

Huiling Tian, Jianhua Zhu, Xiao He et al. · Forest Ecosystems · 2022 · 41 citations · Full text

Natural Resources, Ecology, Forestry +17

Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics

Zhibin Sun, Wenqi Qian, Qingfeng Huang et al. · Remote Sensing · 2022 · 23 citations · Full text

Natural Resources, Ecology, Forestry +15

The Carbon Neutral Potential of Forests in the Yangtze River Economic Belt of China

Huiling Tian, Jianhua Zhu, Zunji Jian et al. · Forests · 2022 · 10 citations · Full text

Natural Resources, Forestry, Soil Sciences +17