成果/Result
- Learning Robust Discriminant Subspace Based on Joint L-2,L- p- and L-2,L-s-Norm Distance Metrics被引量：113收藏
- 作者：Fu, Liyong[1,2,3] Li, Zechao[4] Ye, Qiaolin[2] Yin, Hang[2] Liu, Qingwang[3,5]
- 机构：Cent South Univ Forestry & Technol;Nanjing Forestry Univ;Chinese Acad Forestry;Nanjing Univ Sci & Technol;Natl Forestry & Grassland Adm
- 来源：IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022
- 关键词：Discriminant power joint L-2,L- p- and L-2,L-s-norm nongreedy robust discriminant analysis (RDA) rotational invariance s-norm distance metrics
- LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System被引量：72收藏
- 作者：Pang, Yong[1,2] Li, Zengyuan[1,2] Ju, Hongbo[1,2] Lu, Hao[1] Jia, Wen[1]
- 机构：Chinese Acad Forestry;State Forestry Adm China;Chinese Acad Sci;Chinese Acad Sci
- 来源：REMOTE SENSING 2016
- 关键词：airborne remote sensing forest structure waveform LiDAR CCD imaging spectroscopy multi-angle
- Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods被引量：52收藏
- 作者：Xie, Dongbo[1,2] Huang, Hongchao[1,2] Feng, Linyan[1,2] Sharma, Ram P.[3] Chen, Qiao[1]
- 机构：Chinese Acad Forestry;Natl Forestry & Grassland Adm;Tribhuwan Univeristy
- 来源：REMOTE SENSING 2023
- 关键词：aboveground biomass LiDAR shrub community desert nonparametric methods
- Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data被引量：52收藏
- 作者：Chen, Xingjing[1,2] Xie, Dongbo[1,2] Zhang, Zhuang[1,2] Sharma, Ram P.[3] Chen, Qiao[1,2]
- 机构：Chinese Acad Forestry;Natl Forestry & Grassland Adm;Tribhuwan Univ
- 来源：REMOTE SENSING 2023
- 关键词：airborne LiDAR tree-components biomass error-in-variable model nonlinear seemingly unrelated regression
- Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images被引量：46收藏
- 作者：Meng, Jinghui[1] Li, Shiming[2] Wang, Wei[3] Liu, Qingwang[2] Xie, Shiqin[1]
- 机构：Beijing Forestry Univ;Chinese Acad Forestry;State Forestry Adm;W Virginia Univ
- 来源：REMOTE SENSING 2016
- 关键词：uneven-aged forest management forest structural diversity spectral and textural measures Pearson's correlation analysis all subsets multiple linear regression
- Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data被引量：33收藏
- 作者：Fu, Liyong[1] Liu, Qingwang[1] Sun, Hua[2,3] Wang, Qiuyan[1] Li, Zengyuan[1]
- 机构：Chinese Acad Forestry;Cent South Univ Forestry & Technol;Key Lab Forestry Remote Sensing Based Big Data &;Xinyang Normal Univ;Southern Illinois Univ
- 来源：REMOTE SENSING 2018
- 关键词：airborne LiDAR diameter at breast height aboveground biomass error-in-variable models leave-one-out cross-validation
- Mapping Forest Health Using Spectral and Textural Information Extracted from SPOT-5 Satellite Images被引量：28收藏
- 作者：Meng, Jinghui[1] Li, Shiming[2] Wang, Wei[3] Liu, Qingwang[2] Xie, Shiqin[1]
- 机构：Beijing Forestry Univ;Chinese Acad Forestry;State Forestry Adm;West Virginia Univ
- 来源：REMOTE SENSING 2016
- 关键词：forest health spectral and textural measures Pearson's correlation analysis all-subsets regression forest health management
- Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data被引量：26收藏
- 作者：Fu, Liyong[1,2,3] Duan, Guangshuang[2,4] Ye, Qiaolin[5] Meng, Xiang[2,3] Luo, Peng[2]
- 机构：Cent South Univ Forestry & Technol;Chinese Acad Forestry;Natl Forestry & Grassland Adm;Xinyang Normal Univ;Nanjing Forestry Univ
- 来源：REMOTE SENSING 2020
- 关键词：Picea crassifolia Kom random effects calibration leave-one sub-sample plot-out cross- validation prediction accuracy
- Estimating crown width in degraded forest: A two-level nonlinear mixed-effects crown width model for Dacrydium pierrei and Podocarpus imbricatus in tropical China被引量：23收藏
- 作者：Chen, Qiao[1,5] Duan, Guangshuang[2] Liu, Qingwang[1,4] Ye, Qiaolin[3] Sharma, Ram P.[4]
- 机构：Chinese Acad Forestry;Xinyang Normal Univ;Nanjing Forestry Univ;Tribhuwan Univ;NFGA
- 来源：FOREST ECOLOGY AND MANAGEMENT 2021
- 关键词：Dummy variable modeling Empirical best linear unbiased prediction Heteroscedasticity Random effects Response calibration Variance function
- Nonlinear mixed-effects height to crown base model based on both airborne LiDAR and field datasets for Picea crassifolia Kom trees in northwest China被引量：21收藏
- 作者：Yang, Zhaohui[1,3] Liu, Qingwang[1] Luo, Peng[1] Ye, Qiaolin[2] Sharma, Ram P.[4]
- 机构：Chinese Acad Forestry;Nanjing Forestry Univ;Natl Forestry & Grassland Adm;Tribhuwan Univ
- 来源：FOREST ECOLOGY AND MANAGEMENT 2020
- 关键词：Random effects Heteroscedasticity EBLUP Subject-specific prediction Calibration
- The Complicate Observations and Multi-Parameter Land Information Constructions on Allied Telemetry Experiment (COMPLICATE)被引量：19收藏
- 作者：Tian, Xin[1,2] Li, Zengyuan[1] Chen, Erxue[1] Liu, Qinhuo[3] Yan, Guangjian[4,5]
- 机构：Chinese Acad Forestry;Univ Twente;Chinese Acad Sci;Beijing Normal Univ;Beijing Normal Univ
- 来源：PLOS ONE 2015
- Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR被引量：17收藏
- 作者：Liu, Qingwang[1,2] Fu, Liyong[3] Wang, Guangxing[4,5] Li, Shiming[3] Li, Zengyuan[3]
- 机构：Chinese Acad Forestry;Southern Illinois Univ;Chinese Acad Forestry;Southern Illinois Univ;Cent South Univ Forestry & Technol
- 来源：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2020
- 关键词：Forestry Laser radar Estimation Biological system modeling Three-dimensional displays Vegetation Lasers Canopy cover (CC) coefficient canopy height model (CHM) height normalized point cloud (NPC) loss ratio of laser pulses
- Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data被引量：16收藏
- 作者：Yang, Zhaohui[1,2] Liu, Qingwang[1] Luo, Peng[1] Ye, Qiaolin[3] Duan, Guangshuang[1,4]
- 机构：Chinese Acad Forestry;Natl Forestry & Grassland Adm;Nanjing Forestry Univ;Xinyang Normal Univ;Tribhuwan Univ
- 来源：REMOTE SENSING 2020
- 关键词：Picea crassifoliaKom compatible equation nonlinear seemingly unrelated regression error-in-variable modeling leave-one-out cross-validation
- Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images被引量：16收藏
- 作者：Jiang, Fugen[1,2,3] Sun, Hua[1] Chen, Erxue[2,3] Wang, Tianhong[1] Cao, Yaling[1]
- 机构：Cent South Univ Forestry & Technol;Chinese Acad Forestry;Natl Forestry & Grassland Adm
- 来源：REMOTE SENSING 2022
- 关键词：above-ground biomass coniferous plantations Landsat 9 machine learning regression kriging
- Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry被引量：12收藏
- 作者：Liu, Qingwang[1,2] Fu, Liyong[1,3] Chen, Qiao[1] Wang, Guangxing[4] Luo, Peng[1]
- 机构：Chinese Acad Forestry;Natl Forestry & Grassland Adm;Natl Forestry & Grassland Adm;Southern Illinois Univ;Tribhuwan Univ
- 来源：REMOTE SENSING 2020
- 关键词：digital surface model digital terrain model canopy height model constrained neighbor interpolation ordinary neighbor interpolation point cloud density stereo imagery
- Improving Estimation of Tree Parameters by Fusing ALS and TLS Point Cloud Data Based on Canopy Gap Shape Feature Points被引量：12收藏
- 作者：Zhou, Rong[1,2,3] Sun, Hua[1,2,3] Ma, Kaisen[1,2,3,4] Tang, Jie[1,2,3] Chen, Song[1,2,3]
- 机构：Cent South Univ & Technol;Hunan Prov Key Lab Forestry Remote Sensing Based B;Key Lab Natl Forestry & Grassland Adm Forest Resou;Hunan Univ Sci & Technol;Chinese Acad Forestry
- 来源：DRONES 2023
- 关键词：point cloud registration canopy gap terrestrial laser scanning airborne laser scanning tree height
- Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment被引量：12收藏
- 作者：Guo, Xuzhan[1,2,3] Liu, Qingwang[1,3] Sharma, Ram P.[4] Chen, Qiao[1,3] Ye, Qiaolin[5]
- 机构：Chinese Acad Forestry;Xinyang Normal Univ;Natl Forestry & Grassland Adm;Tribhuwan Univ;Nanjing Forestry Univ
- 来源：REMOTE SENSING 2021
- 关键词：individual trees crown multi-radius extraction chromatic mapping feature extraction complex environment spectral index
- Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach被引量：10收藏
- 作者：Wang, Mengxi[1,2] Liu, Qingwang[1] Fu, Liyong[1] Wang, Guangxing[3] Zhang, Xiongqing[2]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry;Southern Illinois Univ Carbondale
- 来源：REMOTE SENSING 2019
- 关键词：hierarchical Bayesian classical method airborne LIDAR data diameter at breast height aboveground biomass
- Optimizing ground photons for canopy height extraction from ICESat-2 data in mountainous dense forests被引量：9收藏
- 作者：Zhao, Ruiqi[1,2] Ni, Wenjian[1,2] Zhang, Zhiyu[1] Dai, Huabing[3] Yang, Chengling[3]
- 机构：Chinese Acad Sci;Univ Chinese Acad Sci;Guangxi Forest Inventory & Planning Inst;Chinese Acad Forestry;Univ Maryland
- 来源：REMOTE SENSING OF ENVIRONMENT 2023
- 关键词：ICESat-2 Mountainous dense forests Canopy heights Ground photons Photon counting ATL08
- Comparison of Coniferous Plantation Heights Using Unmanned Aerial Vehicle (UAV) Laser Scanning and Stereo Photogrammetry被引量：8收藏
- 作者：Li, Mei[1,2] Li, Zengyuan[1,2] Liu, Qingwang[1,2] Chen, Erxue[1,2]
- 机构：Chinese Acad Forestry;Natl Forestry & Grassland Adm
- 来源：REMOTE SENSING 2021
- 关键词：forest stand height UAV laser scanning UAV stereo photogrammetry point clouds density CHM metrics
- Feature analysis of LIDAR waveforms from forest canopies被引量：4收藏
- 作者：Liu QingWang[1] Li ZengYuan[1] Chen ErXue[1] Pang Yong[1] Li ShiMing[1]
- 机构：Chinese Acad Forestry
- 来源：SCIENCE CHINA-EARTH SCIENCES 2011
- 关键词：remote sensing forest canopy LIDAR waveform feature solid scatterer
- Growing Stock Volume Estimation in Forest Plantations Using Unmanned Aerial Vehicle Stereo Photogrammetry and Machine Learning Algorithms被引量：0收藏
- 作者：Li, Mei[1] Li, Zengyuan[2] Liu, Qingwang[2] Chen, Erxue[2]
- 机构：Shijiazhuang Univ;Chinese Acad Forestry
- 来源：FORESTS 2025
- 关键词：unmanned aerial vehicle stereo photogrammetry growing stock volume machine learning point density
