ORIGINAL RESEARCH
Accepted on 29 Sep 2025
Estimation of above-ground carbon stock of Dendrocalamus giganteus using ANUSPLIN-interpolated GEDI and ICESat-2/ATLAS parameters
doi 10.3389/fpls.2025.1676195
- Frontiers in Plant Science
- Sustainable and Intelligent Phytoprotection
- Research Topics
- Accurate Measurement and Dynamic Monitoring of Forest Parameters
Accurate Measurement and Dynamic Monitoring of Forest Parameters
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Articles
ORIGINAL RESEARCH
Published on 26 Sep 2025
Developing compatibility biomass model based on UAV LiDAR data of Chinese fir (Cunninghamia lanceolata) in Southern China
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- 833 views
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doi 10.3389/fpls.2025.1582910
- 875 views
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doi 10.3389/fpls.2025.1629146
- 579 views
ORIGINAL RESEARCH
Published on 11 Aug 2025
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doi 10.3389/fpls.2025.1630758
- 556 views
ORIGINAL RESEARCH
Published on 19 Jun 2025
The effects of stand spatial structure on the aboveground biomass allocation in Chinese fir (Cunninghamia lanceolata) plantations
doi 10.3389/fpls.2025.1599094
- 891 views
ORIGINAL RESEARCH
Published on 08 May 2025
Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China
doi 10.3389/fpls.2025.1532138
- 1,183 views
- 1 citation
ORIGINAL RESEARCH
Accepted on 09 Apr 2025
Modeling diameter using UAV LiDAR data for Chinese fir (Cunninghamia lanceolata) in Southern China
doi 10.3389/fpls.2025.1546055
- 408 views
ORIGINAL RESEARCH
Published on 20 Mar 2025
Accuracy assessment of topography and forest canopy height in complex terrain conditions of Southern China using ICESat-2 and GEDI data
doi 10.3389/fpls.2025.1547688
- 1,814 views
- 1 citation
ORIGINAL RESEARCH
Published on 15 Jan 2025
Estimation of Dendrocalamus giganteus leaf area index by combining multi-source remote sensing data and machine learning optimization model
doi 10.3389/fpls.2024.1505414
- 927 views
- 3 citations
ORIGINAL RESEARCH
Published on 09 Jan 2025
LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise
doi 10.3389/fpls.2024.1490660
- 1,702 views
- 1 citation
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