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Estimating the Vertical Distribution of Biomass in Subtropical Tree Species Using an Integrated Random Forest and Least Squares Machine Learning Mode

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成果类型:
期刊论文
作者:
Li, Guo;Li, Can;Jia, Guanyu;Han, Zhenying;Huang, Yu;...
通讯作者:
Hu, WM
作者机构:
[Hu, Wenmin; Li, Guo; Han, Zhenying; Jia, Guanyu; Hu, WM; Li, Can] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.
[Hu, Wenmin; Li, Guo; Hu, WM; Li, Can] Hunan Big Data Engn Technol Res Ctr Nat Protected, Changsha 410004, Peoples R China.
[Hu, Wenmin; Jia, Guanyu; Hu, WM] Nanjing Agr Univ, Coll Publ Adm, Nanjing 210095, Peoples R China.
[Hu, Wenmin; Huang, Yu; Hu, WM] Nanning Univ, Inst Green Low Carbon & Human Settlements Urban En, Nanning 541699, Peoples R China.
通讯机构:
[Hu, WM ] C
Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.
Hunan Big Data Engn Technol Res Ctr Nat Protected, Changsha 410004, Peoples R China.
Nanjing Agr Univ, Coll Publ Adm, Nanjing 210095, Peoples R China.
Nanning Univ, Inst Green Low Carbon & Human Settlements Urban En, Nanning 541699, Peoples R China.
语种:
英文
关键词:
forest biomass;carbon storage;vertical scales;field surveys;remote sensing
期刊:
Forests
ISSN:
1999-4907
年:
2024
卷:
15
期:
6
页码:
992-
基金类别:
Conceptualization, Methodology, Software, Investigation, Methodology, Writing—Original draft preparation, Writing—Reviewing and Editing, G.L.; Conceptualization, Methodology, Software, Investigation, Methodology, C.L.; Conceptualization, Methodology, Software, Investigation, Methodology, G.J.; Conceptualization, Methodology, Software, Investigation, Methodology, Z.H.; Writing—Original draft preparation, Writing—Reviewing and Editing, Funding, Y.H.; Investigation, Data curation, Formal analysis, Supervision, Project administration, Funding acquisition, Writing—Reviewing and Editing, W.H.; The authors G.L. and C.L. have made equal contributions. All authors have read and agreed to the published version of the manuscript. This research was funded by the Natural Science Foundation of Hunan Province [Grant numbers:2022JJ40862], the Key Project of Hunan Education Department [Grant number: 21A0513], the Scientific Research Project of Hunan Education Department [Grant numbers 21B0235] and the Natural Science Foundation of Hunan Province [Grant number: 2020JJ4942]. This work was supported by the Key Discipline of the State Forestry Administration [Grant number: 2016-21] and the “Double First-Class” Cultivating Subject of Hunan Province [Grant number: 2018-469].
机构署名:
本校为通讯机构
院系归属:
风景园林学院
摘要:
Accurate quantification of forest biomass (FB) is the key to assessing the carbon budget of terrestrial ecosystems. Using remote sensing to apply inversion techniques to the estimation of FBs has recently become a research trend. However, the limitations of vertical scale analysis methods and the nonlinear distribution of forest biomass stratification have led to significant uncertainties in FB estimation. In this study, the biomass characteristics of forest vertical stratification were considered, and based on the integration of random forest and least squares (RF-LS) models, the FB predictio...

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