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A DEEP LEARNING APPROACH FOR CROP TYPE MAPPING BASED ON COMBINED TIME SERIES OF SATELLITE AND WEATHER DATA.

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Title: A DEEP LEARNING APPROACH FOR CROP TYPE MAPPING BASED ON COMBINED TIME SERIES OF SATELLITE AND WEATHER DATA.
Authors: Addimando, N., Engel, M., Schwarz, F., Batič, M.
Source: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2022, Issue B3, p1301-1308, 8p
Database: Applied Science & Technology Source
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  Availability: 0
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DbLabel: Applied Science & Technology Source
An: 158204315
AccessLevel: 2
PubType: Academic Journal
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  Data: A DEEP LEARNING APPROACH FOR CROP TYPE MAPPING BASED ON COMBINED TIME SERIES OF SATELLITE AND WEATHER DATA.
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  Data: <searchLink fieldCode="AU" term="%22Addimando%2C+N%2E%22">Addimando, N.</searchLink><br /><searchLink fieldCode="AU" term="%22Engel%2C+M%2E%22">Engel, M.</searchLink><br /><searchLink fieldCode="AU" term="%22Schwarz%2C+F%2E%22">Schwarz, F.</searchLink><br /><searchLink fieldCode="AU" term="%22Batič%2C+M%2E%22">Batič, M.</searchLink>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158204315
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.5194/isprs-archives-XLIII-B3-2022-1301-2022
    Languages:
      – Code: eng
        Text: English
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        PageCount: 8
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      – TitleFull: A DEEP LEARNING APPROACH FOR CROP TYPE MAPPING BASED ON COMBINED TIME SERIES OF SATELLITE AND WEATHER DATA.
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            NameFull: Engel, M.
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            NameFull: Schwarz, F.
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              Text: 2022
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              Value: B3
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            – TitleFull: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences
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