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Land cover classification map of Germany's agricultural area based on Sentinel-2A data from 2016

Fuente: PANGAEA

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Détails bibliographiques
Auteurs principaux:	Preidl, Sebastian, Lange, Maximilian, Doktor, Daniel
Format:	Dataset Open Access
Langue:	en
Publié:	PANGAEA 2020
Sujets:	Compositing; Crop mapping; Germany; Land cover classification; MULT; Multiple investigations; phenology; random forest; Sentinel-2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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