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Mapping the Cerrado–Amazon Transition Using PlanetScope–Sentinel Data Fusion and a U-Net Deep Learning Framework.

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Title: Mapping the Cerrado–Amazon Transition Using PlanetScope–Sentinel Data Fusion and a U-Net Deep Learning Framework.
Authors: Li, Chuanze1 (AUTHOR), Harris, Angela1,2 (AUTHOR), Marimon, Beatriz Schwantes1,2 (AUTHOR), Marimon Junior, Ben Hur2 (AUTHOR), Dennis, Matthew1 (AUTHOR), Bispo, Polyanna da Conceição1 (AUTHOR) polyanna.bispo@manchester.ac.uk
Source: Remote Sensing. Jul2025, Vol. 17 Issue 13, p2138. 26p.
Database: Academic Search Ultimate
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  Data: Mapping the Cerrado–Amazon Transition Using PlanetScope–Sentinel Data Fusion and a U-Net Deep Learning Framework.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jul2025, Vol. 17 Issue 13, p2138. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186597229
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        Value: 10.3390/rs17132138
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        Text: English
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        PageCount: 26
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      – TitleFull: Mapping the Cerrado–Amazon Transition Using PlanetScope–Sentinel Data Fusion and a U-Net Deep Learning Framework.
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              M: 07
              Text: Jul2025
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              Y: 2025
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