Qingwang Liu

According to our database, Qingwang Liu authored at least 25 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods.

Dongbo Xie, Hongchao Huang, Linyan Feng, Ram P. Sharma, Qiao Chen, Qingwang Liu, Liyong Fu

Remote. Sens., July, 2023

Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data.

Xingjing Chen, Dongbo Xie, Zhuang Zhang, Ram P. Sharma, Qiao Chen, Qingwang Liu, Liyong Fu

Remote. Sens., July, 2023

2022

Learning Robust Discriminant Subspace Based on Joint L₂, ₚ- and L₂, ₛ-Norm Distance Metrics.

Liyong Fu, Zechao Li, Qiaolin Ye, Hang Yin, Qingwang Liu, Xiaobo Chen, Xijian Fan, Wankou Yang, Guowei Yang

IEEE Trans. Neural Networks Learn. Syst., 2022

Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images.

Fugen Jiang, Hua Sun, Erxue Chen, Tianhong Wang, Yaling Cao, Qingwang Liu

Remote. Sens., 2022

Estimation of Coniferous Forest Height using Stereo Images of GF-7 Satellite and Airborne Lidar Data.

Qingwang Liu, Zengyuan Li, Shiming Li, Wenbo Zhang, Junfeng Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Forest Canopy Gap Dynamics based on Time-Series of Airborne Lidar Data.

Shiming Li, Qingwang Liu, Zengyuan Li, Zhiyong Qi, Lin Si, Ning Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Comparison of Coniferous Plantation Heights Using Unmanned Aerial Vehicle (UAV) Laser Scanning and Stereo Photogrammetry.

Mei Li, Zengyuan Li, Qingwang Liu, Erxue Chen

Remote. Sens., 2021

Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment.

Xuzhan Guo, Qingwang Liu, Ram P. Sharma, Qiao Chen, Qiaolin Ye, Shouzheng Tang, Liyong Fu

Remote. Sens., 2021

2020

Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR.

Qingwang Liu, Liyong Fu, Guangxing Wang, Shiming Li, Zengyuan Li, Erxue Chen, Yong Pang, Kailong Hu

IEEE Trans. Geosci. Remote. Sens., 2020

Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data.

Zhaohui Yang, Qingwang Liu, Peng Luo, Qiaolin Ye, Guangshuang Duan, Ram P. Sharma, Huiru Zhang, Guangxing Wang, Liyong Fu

Remote. Sens., 2020

Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry.

Qingwang Liu, Liyong Fu, Qiao Chen, Guangxing Wang, Peng Luo, Ram P. Sharma, Peng He, Mei Li, Mengxi Wang, Guangshuang Duan

Remote. Sens., 2020

Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data.

Liyong Fu, Guangshuang Duan, Qiaolin Ye, Xiang Meng, Peng Luo, Ram P. Sharma, Hua Sun, Guangxing Wang, Qingwang Liu

Remote. Sens., 2020

Dominant Trees Analysis Using UAV LiDAR and Photogrammetry.

Qingwang Liu, Shiming Li, Xin Tian, Liyong Fu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach.

Mengxi Wang, Qingwang Liu, Liyong Fu, Guangxing Wang, Xiongqing Zhang

Remote. Sens., 2019

Forest Stand Height Estimation Using Ziyuan-3 Tri-Stereo Imagery and Lidar.

Shiming Li, Qingwang Liu, Ning Wang, Zengyuan Li, Erxue Chen, Yong Pang, Lin Si, Xin Tian

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data.

Liyong Fu, Qingwang Liu, Hua Sun, Qiuyan Wang, Zengyuan Li, Erxue Chen, Yong Pang, Xinyu Song, Guangxing Wang

Remote. Sens., 2018

2017

Forest canopy cover analysis using UAS lidar.

Qingwang Liu, Shiming Li, Kailong Hu, Yong Pang, Zengyuan Li

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Building height extraction from overlapping airborne images in urban environment using computer vision approach.

Shiming Li, Qingwang Liu, Zengyuan Li, Erxue Chen, Jianbing Zhang

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Forest canopy height estimation at footprint scale based on airborne lidar metric in the heterogeneous landscape.

Kailong Hu, Qingwang Liu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Forest height estimation based on uav lidar simulated waveform.

Bowei Chen, Zengyuan Li, Yong Pang, Qingwang Liu, Xianlian Gao, Jinping Gao, Anmin Fu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Modeling of forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the Qilian mountains.

Xin Tian, Zengyuan Li, Erxue Chen, Min Yan, Zongtao Han, Qingwang Liu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System.

Yong Pang, Zengyuan Li, Hongbo Ju, Hao Lu, Wen Jia, Lin Si, Ying Guo, Qingwang Liu, Shiming Li, Luxia Liu, Binbin Xie, Bingxiang Tan, Yuanyong Dian

Remote. Sens., 2016

Mapping Forest Health Using Spectral and Textural Information Extracted from SPOT-5 Satellite Images.

Jinghui Meng, Shiming Li, Wei Wang, Qingwang Liu, Shiqin Xie, Wu Ma

Remote. Sens., 2016

Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images.

Jinghui Meng, Shiming Li, Wei Wang, Qingwang Liu, Shiqin Xie, Wu Ma

Remote. Sens., 2016

China typical forest aboveground biomass estimation by fusion of multi-platform data.

Yong Pang, Zengyuan Li, Shili Meng, Hao Lu, Wen Jia, Qingwang Liu, Haikui Li, Yuancai Lei

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016