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Machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes.

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Title: Machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes.
Authors: Chabalala, Yingisani1 (AUTHOR) elhadi.adam@wits.ac.za, Adam, Elhadi1 (AUTHOR), Ali, Khalid Adem2 (AUTHOR) alika@cofc.edu
Source: Remote Sensing. Jun2022, Vol. 14 Issue 11, p2621-2621. 26p.
Database: Academic Search Ultimate
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  Data: Machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jun2022, Vol. 14 Issue 11, p2621-2621. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157369005
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/rs14112621
    Languages:
      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 2621
    Titles:
      – TitleFull: Machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes.
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            NameFull: Chabalala, Yingisani
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            NameFull: Adam, Elhadi
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            NameFull: Ali, Khalid Adem
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            – D: 01
              M: 06
              Text: Jun2022
              Type: published
              Y: 2022
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              Value: 14
            – Type: issue
              Value: 11
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            – TitleFull: Remote Sensing
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