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Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA.

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Title: Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA.
Authors: Müller, Franziska1,2 (AUTHOR) franziska.mueller@uni-leipzig.de, Eifler, Laura1,2 (AUTHOR), Cremer, Felix1 (AUTHOR), Beck, Pieter3 (AUTHOR), Camps-Valls, Gustau4 (AUTHOR), Bastos, Ana1,2 (AUTHOR)
Source: Natural Hazards & Earth System Sciences. 2026, Vol. 26 Issue 6, p2785-2815. 31p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 195160371
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PubType: Academic Journal
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  Data: Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA.
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  Data: <searchLink fieldCode="JN" term="%22Natural+Hazards+%26+Earth+System+Sciences%22">Natural Hazards & Earth System Sciences</searchLink>. 2026, Vol. 26 Issue 6, p2785-2815. 31p.
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        Value: 10.5194/nhess-26-2785-2026
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      – Code: eng
        Text: English
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        PageCount: 31
        StartPage: 2785
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      – TitleFull: Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA.
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            NameFull: Eifler, Laura
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            – D: 01
              M: 06
              Text: 2026
              Type: published
              Y: 2026
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              Value: 26
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