Huaqiang Du
Orcid: 0000-0002-6765-2279
According to our database1,
Huaqiang Du
authored at least 37 papers
between 2011 and 2024.
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Bibliography
2024
UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests.
Remote. Sens., February, 2024
Detection of the Infection Stage of Pine Wilt Disease and Spread Distance Using Monthly UAV-Based Imagery and a Deep Learning Approach.
Remote. Sens., January, 2024
UAV-Based Intelligent Detection of Individual Trees in Moso Bamboo Forests With Complex Canopy Structure.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Estimation aboveground biomass in subtropical bamboo forests based on an interpretable machine learning framework.
Environ. Model. Softw., 2024
2023
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023
A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism.
Remote. Sens., September, 2023
Optimizing the Spatial Structure of Metasequoia Plantation Forest Based on UAV-LiDAR and Backpack-LiDAR.
Remote. Sens., August, 2023
Wavelet Vegetation Index to Improve the Inversion Accuracy of Leaf V25cmax of Bamboo Forests.
Remote. Sens., May, 2023
Intelligent Estimating the Tree Height in Urban Forests Based on Deep Learning Combined with a Smartphone and a Comparison with UAV-LiDAR.
Remote. Sens., January, 2023
Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China.
Remote. Sens., January, 2023
Tree Species Classifications of Urban Forests Using UAV-LiDAR Intensity Frequency Data.
Remote. Sens., January, 2023
An Algorithm of Forest Age Estimation Based on the Forest Disturbance and Recovery Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
Estimation of Bamboo Forest Aboveground Carbon Using the RGLM Model Based on Object-Based Multiscale Segmentation of SPOT-6 Imagery.
Remote. Sens., 2023
2022
Estimation of Urban Forest Characteristic Parameters Using UAV-Lidar Coupled with Canopy Volume.
Remote. Sens., December, 2022
Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar.
Remote. Sens., 2022
Spatiotemporal Patterns and Driving Force of Urbanization and Its Impact on Urban Ecology.
Remote. Sens., 2022
Spatiotemporal Evolution of the Carbon Fluxes from Bamboo Forests and their Response to Climate Change Based on a BEPS Model in China.
Remote. Sens., 2022
Simulating Future LUCC by Coupling Climate Change and Human Effects Based on Multi-Phase Remote Sensing Data.
Remote. Sens., 2022
2021
Preliminary Application of Ground-Penetrating Radar for Reconstruction of Root System Architecture in Moso Bamboo.
Remote. Sens., 2021
Remote Sensing Estimation of Bamboo Forest Aboveground Biomass Based on Geographically Weighted Regression.
Remote. Sens., 2021
A Novel Query Strategy-Based Rank Batch-Mode Active Learning Method for High-Resolution Remote Sensing Image Classification.
Remote. Sens., 2021
Spatiotemporal Evolution of Fractional Vegetation Cover and Its Response to Climate Change Based on MODIS Data in the Subtropical Region of China.
Remote. Sens., 2021
Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Multiscale leaf area index assimilation for Moso bamboo forest based on Sentinel-2 and MODIS data.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique - Subtropical Area for Example.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Intelligent Mapping of Urban Forests from High-Resolution Remotely Sensed Imagery Using Object-Based U-Net-DenseNet-Coupled Network.
Remote. Sens., 2020
Application of Convolutional Neural Network on Lei Bamboo Above-Ground-Biomass (AGB) Estimation Using Worldview-2.
Remote. Sens., 2020
Spatiotemporal Evolution of Urban Expansion Using Landsat Time Series Data and Assessment of Its Influences on Forests.
ISPRS Int. J. Geo Inf., 2020
Spatiotemporal LUCC Simulation under Different RCP Scenarios Based on the BPNN_CA_Markov Model: A Case Study of Bamboo Forest in Anji County.
ISPRS Int. J. Geo Inf., 2020
2019
Assimilating Multiresolution Leaf Area Index of Moso Bamboo Forest from MODIS Time Series Data Based on a Hierarchical Bayesian Network Algorithm.
Remote. Sens., 2019
2018
Estimating and Analyzing the Spatiotemporal Pattern of Aboveground Carbon in Bamboo Forest by Combining Remote Sensing Data and Improved BIOME-BGC Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China.
Remote. Sens., 2018
Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode.
Remote. Sens., 2018
2017
Comparison of Two Data Assimilation Methods for Improving MODIS LAI Time Series for Bamboo Forests.
Remote. Sens., 2017
2011
Retrieval of Canopy Closure and LAI of Moso Bamboo Forest Using Spectral Mixture Analysis Based on Real Scenario Simulation.
IEEE Trans. Geosci. Remote. Sens., 2011