3D localization of circular feature in 2D image and application to food volume estimation. - Wenyan Jia; Yaofeng Yue; John D. Fernstrom; Zhengnan Zhang; Yongquan Yang; Mingui Sun (EMBC, 2012)

Estimating Forest Structural Parameters Using Canopy Metrics Derived from Airborne LiDAR Data in Subtropical Forests. - Zhengnan Zhang; Lin Cao 001; Guanghui She (Remote. Sens., 2017)

Estimating Tree Volume Distributions in Subtropical Forests Using Airborne LiDAR Data. - Lin Cao 001; Zhengnan Zhang; Ting Yun; Guibin Wang; Honghua Ruan; Guanghui She (Remote. Sens., 2019)

Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests. - Zhong Xu; Xin Shen 002; Lin Cao 001; Nicholas C. Coops; Tristan R. H. Goodbody; Tai Zhong; Weidong Zhao; Qinglei Sun; Sang Ba; Zhengnan Zhang; Xiangqian Wu (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Individual Tree Structural Parameter Extraction and Volume Table Creation Based on Near-Field LiDAR Data: A Case Study in a Subtropical Planted Forest. - Sha Gao; Zhengnan Zhang; Lin Cao 001 (Sensors, 2021)

Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data. - Hao Liu 048; Xin Shen 002; Lin Cao 001; Ting Yun; Zhengnan Zhang; Xiaoyao Fu; Xinxin Chen; Fangzhou Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Assessing the 3-D Structure of Bamboo Forests Using an Advanced Pseudo-Vertical Waveform Approach Based on Airborne Full-Waveform LiDAR Data. - Zhengnan Zhang; Lin Cao 001; Hao Liu 048; Xiaoyao Fu; Xin Shen 002 (IEEE Trans. Geosci. Remote. Sens., 2021)

An Advanced Framework for Multi-Scale Forest Structural Parameter Estimations Based on UAS-LiDAR and Sentinel-2 Satellite Imagery in Forest Plantations of Northern China. - Xiangqian Wu; Xin Shen 002; Zhengnan Zhang; Fuliang Cao; Guanghui She; Lin Cao 001 (Remote. Sens., 2022)