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  A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information

Harfenmeister [Heupel], K., Spengler, D., Itzerott, S. (2018): A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information. - PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 86, 2, 53-69.
https://doi.org/10.1007/s41064-018-0050-7

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3528894 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3528894_4
Genre: Journal Article

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 Creators:
Harfenmeister [Heupel], Katharina1, Author              
Spengler, D.1, Author              
Itzerott, S.1, Author              
Affiliations:
11.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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 Dates: 2018
 Publication Status: Finally published
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 Identifiers: DOI: 10.1007/s41064-018-0050-7
URI: http://doi.crossref.org/servlet/query?format=unixref&pid=bib@gfz-potsdam.de&id=10.1007/s41064-018-0050-7
GFZPOF: p3 PT1 Global Processes
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Title: PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
Source Genre: Journal, SCI, Scopus, bis 2016 u.d.T.: Photogrammetrie Fernerkundung Geoinformation (PFG)
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Pages: - Volume / Issue: 86 (2) Sequence Number: - Start / End Page: 53 - 69 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals386