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                                       Details for article 53 of 55 found articles
 
 
  Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
 
 
Title: Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
Author: Hosseiny, Benyamin
Abdi, Abdulhakim M.
Jamali, Sadegh
Appeared in: Remote sensing applications
Paging: Volume 28 () nr. C pages p.
Year: 2022
Contents:
Publisher: The Author(s)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 53 of 55 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands