ORIGINAL RESEARCH
Accepted on 15 Oct 2025
Modality-Specific Feature Design for Species Classification in Forest Inventories Using TLS and UAS LiDAR
doi 10.3389/ffgc.2025.1500178
- Frontiers in Forests and Global Change
- Forest Management
- Research Topics
- Forest Phenotyping and Digital Twin Construction Adopting Intelligent Computer Algorithms and Remote Sensing Techniques
Forest Phenotyping and Digital Twin Construction Adopting Intelligent Computer Algorithms and Remote Sensing Techniques
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Articles
ORIGINAL RESEARCH
Published on 19 Feb 2025
Assessing effects of thinning on the stem form in larch during the stand initiation and stem exclusion stages using terrestrial laser scanning
doi 10.3389/ffgc.2025.1418334
- 834 views
- 2 citations
ORIGINAL RESEARCH
Published on 11 Dec 2024
Forest aboveground biomass estimation based on spaceborne LiDAR combining machine learning model and geostatistical method
doi 10.3389/fpls.2024.1428268
- 2,426 views
- 3 citations
ORIGINAL RESEARCH
Published on 10 Oct 2024
Accurate leaf area index estimation for Eucalyptus grandis using machine learning method with GF-6 WFV—A case study for Huangmian town, China
doi 10.3389/ffgc.2024.1420533
- 1,087 views
- 1 citation
ORIGINAL RESEARCH
Published on 14 Aug 2024
YOLO-CFruit: a robust object detection method for Camellia oleifera fruit in complex environments
doi 10.3389/fpls.2024.1389961
- 1,531 views
- 4 citations
Published in
Frontiers in Forests and Global Change
Forest Management
Participating Journals
Frontiers in Plant Science
- 4.8 impact factor
- 8.8 citescore