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                                       Details for article 13 of 21 found articles
 
 
  Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI
 
 
Title: Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI
Author: Kühnlein, Meike
Appelhans, Tim
Thies, Boris
Nauss, Thomas
Appeared in: Remote sensing of environment
Paging: Volume 141 (2014) nr. C pages 15 p.
Year: 2014
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 13 of 21 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands