Total and component forest aboveground biomass inversion via LiDAR-derived features and machine learning algorithms
- DOI
- 10.3389/fpls.2023.1258521
- Published
- 2023-10-26
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2023.1258521,
title = {Total and component forest aboveground biomass inversion via LiDAR-derived features and machine learning algorithms},
author = {Jiamin Ma and Wangfei Zhang and Yongjie Ji and Jimao Huang and Guoran Huang and Lu Wang},
year = {2023},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2023.1258521},
url = {https://doi.org/10.3389/fpls.2023.1258521}
}RIS
TY - JOUR TI - Total and component forest aboveground biomass inversion via LiDAR-derived features and machine learning algorithms AU - Jiamin Ma AU - Wangfei Zhang AU - Yongjie Ji AU - Jimao Huang AU - Guoran Huang AU - Lu Wang PY - 2023 JO - Frontiers in Plant Science DO - 10.3389/fpls.2023.1258521 UR - https://doi.org/10.3389/fpls.2023.1258521 ER -
APA
Ma, J., Zhang, W., Ji, Y., Huang, J., Huang, G., & Wang, L. (2023). Total and component forest aboveground biomass inversion via LiDAR-derived features and machine learning algorithms. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2023.1258521
Source records
- crossref · retrieved 2026-09-26T23:52:31.531Z