Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data.

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Title: Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data.
Authors: Turini, Nazli1, turini@staff.uni-marburg.de, Thies, Boris1, Horna, Natalia2, Bendix, Jörg1
Source: European Journal of Remote Sensing; Dec 2021, Vol. 54 Issue 1, p117-139, 23p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 154363139
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  Data: Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data.
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  Data: <searchLink fieldCode="AU" term="%22Turini%2C+Nazli%22">Turini, Nazli</searchLink><relatesTo>1</relatesTo>, <i>turini@staff.uni-marburg.de</i><br /><searchLink fieldCode="AU" term="%22Thies%2C+Boris%22">Thies, Boris</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Horna%2C+Natalia%22">Horna, Natalia</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Bendix%2C+Jörg%22">Bendix, Jörg</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Remote+Sensing%22">European Journal of Remote Sensing</searchLink>; Dec 2021, Vol. 54 Issue 1, p117-139, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=154363139
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/22797254.2021.1884002
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 23
        StartPage: 117
    Titles:
      – TitleFull: Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data.
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            NameFull: Turini, Nazli
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            NameFull: Thies, Boris
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            NameFull: Horna, Natalia
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            – D: 01
              M: 12
              Text: Dec 2021
              Type: published
              Y: 2021
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              Value: 54
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            – TitleFull: European Journal of Remote Sensing
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