Long-term large-scale sensing in the forest: recent advances and future directions of GreenOrbs. - Yunhao Liu 001; Guomo Zhou; Jizhong Zhao; Guojun Dai; Xiang-Yang Li 001; Ming Gu 001; Huadong Ma; Lufeng Mo; Yuan He 004; Jiliang Wang (Frontiers Comput. Sci. China, 2010)

Retrieval of Canopy Closure and LAI of Moso Bamboo Forest Using Spectral Mixture Analysis Based on Real Scenario Simulation. - Huaqiang Du; Weiliang Fan; Guomo Zhou; Xiaojun Xu; Hongli Ge; Yongjun Shi; Yufeng Zhou; Ruirui Cui; Yulong Lu (IEEE Trans. Geosci. Remote. Sens., 2011)

Wireless Sensor Networks for Agriculture and Forestry. - Guomo Zhou; Shaojie Tang 001; Dengsheng Lu; Liang Liu 001; Jinsong Han; Wei Dong (Int. J. Distributed Sens. Networks, 2015)

Comparison of Two Data Assimilation Methods for Improving MODIS LAI Time Series for Bamboo Forests. - Fangjie Mao; Xuejian Li; Huaqiang Du; Guomo Zhou; Ning Han; Xiaojun Xu; Yuli Liu; Liang Chen; Lu Cui (Remote. Sens., 2017)

Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode. - Weiliang Fan; Jing Li 019; Qinhuo Liu; Qian Zhang 006; Gaifei Yin; Ainong Li; Yelu Zeng; Baodong Xu; Xiaojun Xu; Guomo Zhou; Huaqiang Du (Remote. Sens., 2018)

Mapping Global Bamboo Forest Distribution Using Multisource Remote Sensing Data. - Huaqiang Du; Fangjie Mao; Xuejian Li; Guomo Zhou; Xiaojun Xu; Ning Han; Shaobo Sun; Guolong Gao; Lu Cui; Yangguang Li 002; Dien Zhu; Yuli Liu; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Estimating and Analyzing the Spatiotemporal Pattern of Aboveground Carbon in Bamboo Forest by Combining Remote Sensing Data and Improved BIOME-BGC Model. - Huaqiang Du; Fangjie Mao; Guomo Zhou; Xuejian Li; Xiaojun Xu; Hongli Ge; Lu Cui; Yuli Liu; Dien Zhu; Yangguang Li 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Assimilating Multiresolution Leaf Area Index of Moso Bamboo Forest from MODIS Time Series Data Based on a Hierarchical Bayesian Network Algorithm. - Luqi Xing; Xuejian Li; Huaqiang Du; Guomo Zhou; Fangjie Mao; Tengyan Liu; Junlong Zheng; Luofan Dong; Meng Zhang; Ning Han; Xiaojun Xu; Weiliang Fan; et al. (Remote. Sens., 2019)

Spatiotemporal Evolution of Urban Expansion Using Landsat Time Series Data and Assessment of Its Influences on Forests. - Meng Zhang; Huaqiang Du; Fangjie Mao; Guomo Zhou; Xuejian Li; Luofan Dong; Junlong Zheng; Dien Zhu; Hua Liu; Zihao Huang 002; Shaobai He (ISPRS Int. J. Geo Inf., 2020)

Intelligent Mapping of Urban Forests from High-Resolution Remotely Sensed Imagery Using Object-Based U-Net-DenseNet-Coupled Network. - Shaobai He; Huaqiang Du; Guomo Zhou; Xuejian Li; Fangjie Mao; Dien Zhu; Yanxin Xu; Meng Zhang; Zihao Huang 002; Hua Liu; Xin Luo (Remote. Sens., 2020)

Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique - Subtropical Area for Example. - Luofan Dong; Luqi Xing; Tengyan Liu; Huaqiang Du; Fangjie Mao; Ning Han; Xuejian Li; Guomo Zhou; Dien Zhu; Junlong Zheng; Meng Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity. - Xuejian Li; Huaqiang Du; Guomo Zhou; Fangjie Mao; Junlong Zheng; Hua Liu; Zihao Huang 002; Shaobai He (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Influence of Scale Effect of Canopy Projection on Understory Microclimate in Three Subtropical Urban Broad-Leaved Forests. - Xueyan Gao; Chong Li; Yue Cai; Lei Ye; Longdong Xiao; Guomo Zhou; Yufeng Zhou (Remote. Sens., 2021)

A Novel Query Strategy-Based Rank Batch-Mode Active Learning Method for High-Resolution Remote Sensing Image Classification. - Xin Luo; Huaqiang Du; Guomo Zhou; Xuejian Li; Fangjie Mao; Di'en Zhu; Yanxin Xu; Meng Zhang; Shaobai He; Zihao Huang 002 (Remote. Sens., 2021)

Preliminary Application of Ground-Penetrating Radar for Reconstruction of Root System Architecture in Moso Bamboo. - Longdong Xiao; Chong Li; Yue Cai; Mingxing Zhou; Tao Zhou; Xueyan Gao; Huaqiang Du; Yufeng Zhou; Guomo Zhou (Remote. Sens., 2021)

Prediction of sap flow with historical environmental factors based on deep learning technology. - Yane Li; Jianxin Ye; Dayu Xu; Guomo Zhou; Hailin Feng (Comput. Electron. Agric., 2022)

Spatiotemporal Evolution of the Carbon Fluxes from Bamboo Forests and their Response to Climate Change Based on a BEPS Model in China. - Fangfang Kang; Xuejian Li; Huaqiang Du; Fangjie Mao; Guomo Zhou; Yanxin Xu; Zihao Huang 002; Jiayi Ji; Jingyi Wang (Remote. Sens., 2022)

Spatiotemporal Patterns and Driving Force of Urbanization and Its Impact on Urban Ecology. - Meng Zhang; Huaqiang Du; Guomo Zhou; Fangjie Mao; Xuejian Li; Lv Zhou; Di'en Zhu; Yanxin Xu; Zihao Huang 002 (Remote. Sens., 2022)

Estimation of Urban Forest Characteristic Parameters Using UAV-Lidar Coupled with Canopy Volume. - Bo Zhang; Xuejian Li; Huaqiang Du; Guomo Zhou; Fangjie Mao; Zihao Huang 002; Lv Zhou; Jie Xuan; Yulin Gong; Chao Chen (Remote. Sens., 2022)

An Algorithm of Forest Age Estimation Based on the Forest Disturbance and Recovery Detection. - Zihao Huang 002; Xuejian Li; Huaqiang Du; Weimin Zou; Guomo Zhou; Fangjie Mao; Weiliang Fan; Yanxin Xu; Chi Ni; Bo Zhang; Qi Chen; Jinjin Chen; et al. (IEEE Trans. Geosci. Remote. Sens., 2023)

Tree Species Classifications of Urban Forests Using UAV-LiDAR Intensity Frequency Data. - Yulin Gong; Xuejian Li; Huaqiang Du; Guomo Zhou; Fangjie Mao; Lv Zhou; Bo Zhang; Jie Xuan; Dien Zhu (Remote. Sens., 2023)

Intelligent Estimating the Tree Height in Urban Forests Based on Deep Learning Combined with a Smartphone and a Comparison with UAV-LiDAR. - Jie Xuan; Xuejian Li; Huaqiang Du; Guomo Zhou; Fangjie Mao; Jingyi Wang; Bo Zhang; Yulin Gong; Di'en Zhu; Lv Zhou; Zihao Huang 002; Cenheng Xu; et al. (Remote. Sens., 2023)

Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion. - Qinan Lin; Huaguo Huang; Jingxu Wang; Ling Chen 009; Huaqiang Du; Guomo Zhou (Int. J. Appl. Earth Obs. Geoinformation, 2023)