Hua Sun

Orcid: 0000-0002-5401-6783

Affiliations:
  • Central South University of Forest and Technology, Research Center of Forestry Remote Sensing and Information Engineering, Changsha, China


According to our database1, Hua Sun authored at least 28 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Estimation of Forest Stand Volume in Coniferous Plantation from Individual Tree Segmentation Aspect Using UAV-LiDAR.
Remote. Sens., August, 2024

2022
Estimating Fractional Vegetation Cover Changes in Desert Regions Using RGB Data.
Remote. Sens., 2022

Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning.
Remote. Sens., 2022

Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types.
Remote. Sens., 2022

Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images.
Remote. Sens., 2022

2021
A Novel Vegetation Point Cloud Density Tree-Segmentation Model for Overlapping Crowns Using UAV LiDAR.
Remote. Sens., 2021

Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm.
Remote. Sens., 2021

A Novel Spatial Simulation Method for Mapping the Urban Forest Carbon Density in Southern China by the Google Earth Engine.
Remote. Sens., 2021

2020
Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images.
Sensors, 2020

Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method.
Sensors, 2020

Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm.
Remote. Sens., 2020

A Modified KNN Method for Mapping the Leaf Area Index in Arid and Semi-Arid Areas of China.
Remote. Sens., 2020

Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data.
Remote. Sens., 2020

2019
Correction: Zhang, M., et al. Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China. <i>Remote Sens.</i> 2019, <i>11</i>, 133.
Remote. Sens., 2019

Mapping Growing Stem Volume of Chinese Fir Plantation Using a Saturation-based Multivariate Method and Quad-polarimetric SAR Images.
Remote. Sens., 2019

A Probability-Based Spectral Unmixing Analysis for Mapping Percentage Vegetation Cover of Arid and Semi-Arid Areas.
Remote. Sens., 2019

2018
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China.
Remote. Sens., 2018

Optimizing kNN for Mapping Vegetation Cover of Arid and Semi-Arid Areas Using Landsat Images.
Remote. Sens., 2018

Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data.
Remote. Sens., 2018

2017
Mapping Forest Ecosystem Biomass Density for Xiangjiang River Basin by Combining Plot and Remote Sensing Data and Comparing Spatial Extrapolation Methods.
Remote. Sens., 2017

2016
Multi-Resolution Mapping and Accuracy Assessment of Forest Carbon Density by Combining Image and Plot Data from a Nested and Clustering Sampling Design.
Remote. Sens., 2016

2015
Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral Unmixing Analysis.
Remote. Sens., 2015

Improvement of Forest Carbon Estimation by Integration of Regression Modeling and Spectral Unmixing of Landsat Data.
IEEE Geosci. Remote. Sens. Lett., 2015

Retrieval and Accuracy Assessment of Tree and Stand Parameters for Chinese Fir Plantation Using Terrestrial Laser Scanning.
IEEE Geosci. Remote. Sens. Lett., 2015

2010
Non-wood forest information extraction based on ALOS data.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009
A Novel Remotely Sensed Image Interpretation Method.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
A SVM-Based Change Detection Method from Bi-Temporal Remote Sensing Images in Forest Area.
Proceedings of the International Workshop on Knowledge Discovery and Data Mining, 2008

2007
Design and Implementation of a High Spatial Resolution Remote Sensing Image Intelligent Interpretation System.
Data Sci. J., 2007


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