Bangqian Chen
Orcid: 0000-0003-0209-4285
According to our database1,
Bangqian Chen
authored at least 16 papers
between 2016 and 2024.
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Bibliography
2024
Synergizing a Deep Learning and Enhanced Graph-Partitioning Algorithm for Accurate Individual Rubber Tree-Crown Segmentation from Unmanned Aerial Vehicle Light-Detection and Ranging Data.
Remote. Sens., August, 2024
Early identification of immature rubber plantations using Landsat and Sentinel satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Improving the accuracy of canopy height mapping in rubber plantations based on stand age, multi-source satellite images, and random forest algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Comparison of Different Important Predictors and Models for Estimating Large-Scale Biomass of Rubber Plantations in Hainan Island, China.
Remote. Sens., July, 2023
2022
Correction: Chen et al. High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China. Remote Sens. 2020, 12, 3853.
Remote. Sens., 2022
2021
Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China.
Remote. Sens., 2021
2020
Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data.
Remote. Sens., 2020
High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China.
Remote. Sens., 2020
Tracking the phenology and expansion of Spartina alterniflora coastal wetland by time series MODIS and Landsat images.
Multim. Tools Appl., 2020
2019
Rubber Tree Crown Segmentation and Property Retrieval Using Ground-Based Mobile LiDAR after Natural Disturbances.
Remote. Sens., 2019
Extraction of Leaf Biophysical Attributes Based on a Computer Graphic-based Algorithm Using Terrestrial Laser Scanning Data.
Remote. Sens., 2019
2018
Mapping Forest and Their Spatial-Temporal Changes From 2007 to 2015 in Tropical Hainan Island by Integrating ALOS/ALOS-2 L-Band SAR and Landsat Optical Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Integrated Analyses of PALSAR and Landsat Imagery Reveal More Agroforests in a Typical Agricultural Production Region, North China Plain.
Remote. Sens., 2018
Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987-2015.
Remote. Sens., 2018
2017
Application of the space-for-time substitution method in validating long-term biomass predictions of a forest landscape model.
Environ. Model. Softw., 2017
2016
Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images.
Int. J. Appl. Earth Obs. Geoinformation, 2016