Xin Shen
Orcid: 0000-0002-5517-277XAffiliations:
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, China
According to our database1,
Xin Shen
authored at least 19 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Estimating structure of understory bamboo for giant panda habitat by developing an advanced vertical vegetation classification approach using UAS-LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2025
2024
Upscaling Forest Canopy Height Estimation Using Waveform-Calibrated GEDI Spaceborne LiDAR and Sentinel-2 Data.
Remote. Sens., June, 2024
An Advanced Terrain Vegetation Signal Detection Approach for Forest Structural Parameters Estimation Using ICESat-2 Data.
Remote. Sens., June, 2024
Estimation of the Living Vegetation Volume (LVV) for Individual Urban Street Trees Based on Vehicle-Mounted LiDAR Data.
Remote. Sens., May, 2024
2023
Extraction of Forest Structural Parameters by the Comparison of Structure from Motion (SfM) and Backpack Laser Scanning (BLS) Point Clouds.
Remote. Sens., April, 2023
Tree Species Classification in Subtropical Natural Forests Using High-Resolution UAV RGB and SuperView-1 Multispectral Imageries Based on Deep Learning Network Approaches: A Case Study within the Baima Snow Mountain National Nature Reserve, China.
Remote. Sens., 2023
2022
Estimating the Horizontal and Vertical Distributions of Pigments in Canopies of Ginkgo Plantation Based on UAV-Borne LiDAR, Hyperspectral Data by Coupling PROSAIL Model.
Remote. Sens., 2022
An Advanced Framework for Multi-Scale Forest Structural Parameter Estimations Based on UAS-LiDAR and Sentinel-2 Satellite Imagery in Forest Plantations of Northern China.
Remote. Sens., 2022
Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR.
Comput. Electron. Agric., 2022
2021
Assessing the 3-D Structure of Bamboo Forests Using an Advanced Pseudo-Vertical Waveform Approach Based on Airborne Full-Waveform LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Marker-Less UAV-LiDAR Strip Alignment in Plantation Forests Based on Topological Persistence Analysis of Clustered Canopy Cover.
ISPRS Int. J. Geo Inf., 2021
2020
Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Assessment of Individual Tree Detection and Canopy Cover Estimation using Unmanned Aerial Vehicle based Light Detection and Ranging (UAV-LiDAR) Data in Planted Forests.
Remote. Sens., 2019
Estimation of Forest Structural Attributes Using Spectral Indices and Point Clouds from UAS-Based Multispectral and RGB Imageries.
Remote. Sens., 2019
2018
Prediction of Forest Structural Parameters Using Airborne Full-Waveform LiDAR and Hyperspectral Data in Subtropical Forests.
Remote. Sens., 2018
2017
Tree-Species Classification in Subtropical Forests Using Airborne Hyperspectral and LiDAR Data.
Remote. Sens., 2017
2016
Aboveground Biomass Estimation of Individual Trees in a Coastal Planted Forest Using Full-Waveform Airborne Laser Scanning Data.
Remote. Sens., 2016