Yuzhen Xing

ORCID: 0009-0002-8062-9425
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About
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Research Areas
  • Forest ecology and management
  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Forest Management and Policy

University of Chinese Academy of Sciences
2024

Leaf area parameters are crucial in ecosystem studies. As ecophysiological models advance toward finer detail, accurately estimating LA at various scales becomes essential, particularly for diverse units like urban individual trees. Several algorithms based on terrestrial laser scanning (TLS) data have been developed to obtain the of However, their use stand level needs further research. In this study, comparative shortest-path algorithm (CSP) is introduced automatic tree segmentation,...

10.1109/tgrs.2024.3372293 article EN IEEE Transactions on Geoscience and Remote Sensing 2024-01-01

Aboveground biomass (AGB) of shrubs and low-statured trees constitutes a substantial portion the total carbon pool in temperate forest ecosystems, contributing much to local biodiversity, altering tree-regeneration growth rates, determining above- belowground food webs. Accurate quantification AGB at shrub layer is crucial for ecological modeling still remains challenge. Several methods estimating understory biomass, including inventory remote sensing-based methods, need be evaluated against...

10.3390/rs16061060 article EN cc-by Remote Sensing 2024-03-16
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