Xin Shen

Orcid: 0000-0002-5517-277X

Affiliations:
  • Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, China


According to our database1, Xin Shen authored at least 15 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

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

Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data.
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


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