A5036995129- Forest ecology and management
- Remote Sensing and LiDAR Applications
- Forest Ecology and Biodiversity Studies
- Tree Root and Stability Studies
- Photonic and Optical Devices
- Plant Water Relations and Carbon Dynamics
- Horticultural and Viticultural Research
- Land Use and Ecosystem Services
- Plant and Fungal Interactions Research
- Forest Management and Policy
- Advanced Materials and Mechanics
- Fire effects on ecosystems
- Wood and Agarwood Research
- Structural Analysis of Composite Materials
- Optical Systems and Laser Technology
- Ecology and Vegetation Dynamics Studies
- Textile materials and evaluations
- Remote Sensing in Agriculture
- Tribology and Lubrication Engineering
- Material Properties and Processing
- Image Processing Techniques and Applications
- Advanced Surface Polishing Techniques
- Integrated Circuits and Semiconductor Failure Analysis
Northeast Forestry University
2021-2024
Xi'an University of Architecture and Technology
2024
Forest biomass is a foundation for evaluating the contribution to carbon cycle of forests, and improving estimation accuracy an urgent problem be addressed. Terrestrial laser scanning (TLS) enables accurate restoration real 3D structure forests provides valuable information about individual trees; therefore, using TLS accurately estimate aboveground (AGB) has become vital technical approach. In this study, we developed tree AGB models based on TLS-derived parameters, which are not available...
Forest management is vital to the growth and development of trees at different stages. However, comprehensively capturing tree attributes determine response remains a major challenge. Therefore, this study utilized TLS technology probe forest structure information, explore effects on stem diameter, develop most appropriate taper model reveal how thinning affects size form larch during SIS SES. Larch plantations aged 16 26 years were subjected intensities treatments, 3D structural information...
We collected data on fruit and tree factors in Pinus koraiensis plantations the Linkou Forestry Bureau of Heilongjiang Province. Pine cones were divided into three grades based fresh weight. analyzed correlations between pine cones, seeds, nuts, constructed foundational models for seed weight, nut quantity, Then, we introduced effects cone grade random sampling sites models, selected optimal mixed-effects model by comparing Akaike Information Criterion (AIC) Bayesian (BIC). The results...
Background and Objectives: It is important to understand the temporal spatial distributions of standing wood carbon storage in forests maintain ecological balance forest dynamics. Such information can provide technical data support for promoting construction, formulating different afforestation policies, implementing management strategies. Long-term series Landsat 5 (Thematic Mapper, TM) 8 (Operational Land Imager, OLI) remote sensing images digital elevation models (DEM), as well multiphase...
Crown vertical profiles (CVP) play an essential role in stand biomass and forest fire prediction. Traditionally, due to measurement difficulties, CVP models developed based on a small number of individual trees are not convincing. Terrestrial laser scanning (TLS) provides new insights for researching trees’ CVPs. However, there is limited understanding the ability accurately describe CVPs with TLS. In this study, we propose approach automatically extract crown radius (CR) at different...
Terrestrial laser scanning (TLS) plays a significant role in forest resource investigation, parameter inversion and tree 3D model reconstruction. TLS can accurately, quickly nondestructively obtain structural information of standing trees. data, rather than felled wood were used to construct mixed the taper function based on effect, data extraction prediction effects evaluated derive stem diameter volume. was applied total 580 trees nine larch (Larix olgensis) plots, another 30 analysis...
Based on 1038 knots from 42 sample trees 14 standard plots in Korean pine (Pinus koraiensis Sieb. et Zucc.) plantations Heilongjiang Province, China, we developed a knot profile model system. The concepts of growth inflection point and death were proposed. Depending the conditions near knot, divided into two types: curved linear knots. A logistic regression was constructed to predict shape area under curve 0.699 (95% confidence interval 0.661∼0.736), prediction accuracy 0.69. Our research...
Abstract The natural forest ecosystem has been affected by wind storms for years, which have caused several down wood (DW) and dramatically modified the fabric size. Therefore, it is very important to explain system quantifying spatial relationship between DW environmental parameters. However, non-stationary characteristics terrain stand changes with distinct gradients may lead an incomplete description of DW, local neural-network-weighted models geographically (GNNWR) are introduced here....
The recruitment of natural forests is the key to stand growth and regeneration. Constructing theoretical models for trees crucial accurately quantifying yield. To this end, objective was use relevant Poisson study spatial relationships between number (NRTs) driving factors, such as topography, stand, remote sensing factors. Taking Northeast China Liangshui Nature Reserve area 127 ecological public welfare forest plots based on grid sampling data, we constructed global (Poisson regression...
In this paper, we collected the individual tree point cloud data in plots of
We analyzed the differences in knot property of linear and curved knots dominant, medium, inferior wood with thirty-three
We constructed base model, dummy variable and mixture model with three variables including knot diameter, loose length, sound length typical coniferous species, Pinus koraiensis, Larix olgensis, sylvestris var. mongolica, from the Linkou Forestry Bureau Mengjiagang forest farm in Heilongjiang Province 2020. analyzed differences properties among different tree species simplified modeling work. Firstly, we collected relevant property data through sectioning method based on literature,...