Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm

Effective soil spectral band selection and modeling methods can improve modeling accuracy. To establish a hyperspectral prediction model of soil organic matter (SOM) content, this study investigated a forested Eucalyptus plantation in Huangmian Forest Farm, Guangxi, China. The Ranger and Lasso algor...

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Detalles Bibliográficos
Autores principales: Shi, Yuanyuan, Zhao, Junyu, Song, Xianchong, Qin, Zuoyu, Wu, Lichao, Wang, Huili, Tang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238212/
https://www.ncbi.nlm.nih.gov/pubmed/34181687
http://dx.doi.org/10.1371/journal.pone.0253385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238212/
https://www.ncbi.nlm.nih.gov/pubmed/34181687
http://dx.doi.org/10.1371/journal.pone.0253385

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