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PeatDepth-ML: a global map of peat depth predicted using machine learning.

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Title: PeatDepth-ML: a global map of peat depth predicted using machine learning.
Authors: Skye, Jade1,2 (AUTHOR), Melton, Joe R.1,2 (AUTHOR) joe.melton@ec.gc.ca, Goldblatt, Colin1 (AUTHOR), Gallego-Sala, Angela3 (AUTHOR), Garneau, Michelle4 (AUTHOR), Winton, Scott5 (AUTHOR)
Source: Biogeosciences. 2026, Vol. 23 Issue 9, p2959-2983. 25p.
Database: Environment Complete
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Header DbId: eih
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An: 193976259
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Biogeosciences%22">Biogeosciences</searchLink>. 2026, Vol. 23 Issue 9, p2959-2983. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=193976259
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        Value: 10.5194/bg-23-2959-2026
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      – Code: eng
        Text: English
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      – TitleFull: PeatDepth-ML: a global map of peat depth predicted using machine learning.
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              Text: 2026
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              Y: 2026
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