Data Augmentation in Prototypical Networks for Forest Tree Species Classification Using Airborne Hyperspectral Images. - Long Chen; Yuxin Wei; Zongqi Yao; Erxue Chen; Xiaoli Zhang 005 (IEEE Trans. Geosci. Remote. Sens., 2022)

A novel solution for extracting individual tree crown parameters in high-density plantation considering inter-tree growth competition using terrestrial close-range scanning and photogrammetry technology. - Guoqi Chai; Yufeng Zheng; Lingting Lei; Zongqi Yao; Mengyu Chen; Xiaoli Zhang 005 (Comput. Electron. Agric., 2023)

Intelligent Identification of Pine Wilt Disease Infected Individual Trees Using UAV-Based Hyperspectral Imagery. - Haocheng Li; Long Chen; Zongqi Yao; Niwen Li; Lin Long; Xiaoli Zhang 005 (Remote. Sens., 2023)

Individual Tree Species Identification and Crown Parameters Extraction Based on Mask R-CNN: Assessing the Applicability of Unmanned Aerial Vehicle Optical Images. - Zongqi Yao; Guoqi Chai; Lingting Lei; Xiang Jia 004; Xiaoli Zhang 005 (Remote. Sens., 2023)

ITPNet: A Few-Shot Learning Model for Multi-Species Individual Tree Species Classification Using UAV Lidar and Hyperspectral Data. - Ruoning Zhu; Zongqi Yao; Guoqi Chai (IGARSS, 2024)

Tracking Forest Disturbance in Northeast China's Cold-Temperate Forests Using a Temporal Sequence of Landsat Data. - Yueting Wang; Xiang Jia 004; Xiaoli Zhang 005; Lingting Lei; Guoqi Chai; Zongqi Yao; Shike Qiu; Jun Du; Jingxu Wang; Zheng Wang; Ran Wang (Remote. Sens., 2024)