Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy

This work investigates a Sentinel-2 based crop identification methodology for the monitoring of the Common Agricultural Policy's (CAP) Cross Compliance (CC) and Greening obligations. In this regard, we implemented and evaluated a parcel-based supervised classification scheme to produce accurate...

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Bibliographic Details

Published in:	Remote sensing (Basel, Switzerland) Vol. 10; no. 6; p. 911
Main Authors:	Sitokonstantinou, Vasileios, Papoutsis, Ioannis, Kontoes, Charalampos, Arnal, Alberto, Andrés, Ana Pilar, Zurbano, José Angel
Format:	Journal Article
Language:	English
Published:	MDPI AG 01-06-2018
Subjects:	common agricultural policy crop identification feature importance Landsat-8 OLI multispectral image time-series random forest Sentinel-2 MSI support vector machines
Online Access:	Get full text
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