MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests.

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Title: MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests.
Authors: Testa, S.1 stefano.testa@hotmail.com, Soudani, K.2, Boschetti, L.3, Borgogno Mondino, E.1
Source: International Journal of Applied Earth Observation & Geoinformation. Feb2018, Vol. 64, p132-144. 13p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 125787842
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PubType: Academic Journal
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  Data: MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Applied+Earth+Observation+%26+Geoinformation%22">International Journal of Applied Earth Observation & Geoinformation</searchLink>. Feb2018, Vol. 64, p132-144. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=125787842
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jag.2017.08.006
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 132
    Titles:
      – TitleFull: MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests.
        Type: main
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            NameFull: Testa, S.
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            NameFull: Soudani, K.
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            NameFull: Boschetti, L.
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            NameFull: Borgogno Mondino, E.
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            – D: 01
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              Text: Feb2018
              Type: published
              Y: 2018
          Identifiers:
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              Value: 15698432
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              Value: 64
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            – TitleFull: International Journal of Applied Earth Observation & Geoinformation
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