Improving forest above-ground biomass estimation by integrating individual machine learning models
The accurate estimation of forest above-ground biomass (AGB) is crucial for sustainable forest management and tracking the carbon cycle of forest ecosystem. Machine learning algorithms have been proven to have great potential in forest AGB estimation with remote sensing data. Though many studies hav...
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| 主要な著者: | , , , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Multidisciplinary Digital Publishing Institute
2024
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/113524/1/113524.pdf http://psasir.upm.edu.my/id/eprint/113524/ https://www.mdpi.com/1999-4907/15/6/975 |
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