Using a Bayesian estimator to combine information from a cluster analysis and remote sensing data to estimate high-resolution data for agricultural production in Germany.

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Title: Using a Bayesian estimator to combine information from a cluster analysis and remote sensing data to estimate high-resolution data for agricultural production in Germany.
Authors: Gocht, Alexander1, alexander.gocht@vti.bund.de, Röder, Norbert1
Source: International Journal of Geographical Information Science; Sep2014, Vol. 28 Issue 9, p1744-1764, 21p
Database: Applied Science & Technology Source
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  Data: Using a Bayesian estimator to combine information from a cluster analysis and remote sensing data to estimate high-resolution data for agricultural production in Germany.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; Sep2014, Vol. 28 Issue 9, p1744-1764, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=98579904
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13658816.2014.897348
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1744
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      – TitleFull: Using a Bayesian estimator to combine information from a cluster analysis and remote sensing data to estimate high-resolution data for agricultural production in Germany.
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            NameFull: Gocht, Alexander
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            NameFull: Röder, Norbert
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            – D: 01
              M: 09
              Text: Sep2014
              Type: published
              Y: 2014
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              Value: 28
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