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Analysis of the Application of Machine Learning Algorithms Based on Sentinel-1/2 and Landsat 8 OLI Data in Estimating Above-Ground Biomass of Subtropical Forests.

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Title: Analysis of the Application of Machine Learning Algorithms Based on Sentinel-1/2 and Landsat 8 OLI Data in Estimating Above-Ground Biomass of Subtropical Forests.
Authors: Wang, Yuping1 (AUTHOR), Hancock, Steven2 (AUTHOR), Dong, Wenquan3 (AUTHOR), Ji, Yongjie4 (AUTHOR) jiyongjie@live.cn, Zhao, Han1 (AUTHOR), Wang, Mengjin1,2 (AUTHOR)
Source: Forests (19994907). Apr2025, Vol. 16 Issue 4, p559. 18p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 184757012
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PubType: Academic Journal
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  Data: Analysis of the Application of Machine Learning Algorithms Based on Sentinel-1/2 and Landsat 8 OLI Data in Estimating Above-Ground Biomass of Subtropical Forests.
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  Data: <searchLink fieldCode="JN" term="%22Forests+%2819994907%29%22">Forests (19994907)</searchLink>. Apr2025, Vol. 16 Issue 4, p559. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=184757012
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      – Type: doi
        Value: 10.3390/f16040559
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 559
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      – TitleFull: Analysis of the Application of Machine Learning Algorithms Based on Sentinel-1/2 and Landsat 8 OLI Data in Estimating Above-Ground Biomass of Subtropical Forests.
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            NameFull: Zhao, Han
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 16
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