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PhenoS

Phenological structuring of temporal high resolution Sentinel-2 satellite data sets to improve land cover classifications

Overview

Project summary

The PhenoS project aims on the operational detection of optimal time frames for satellite (especially Sentinel-2) data acqusition to improve agricultural land cover classifications.

Coordination

Martin Luther University Halle -  Institute of Geosciences and Geography, Department fo Remote Sensing and Cartography

• Prof. Dr. Cornelia Gläßer (Project Management)

Research partners

PhenoS Projektpartner

• Homepage Remote Sensing Department, University of Halle
• Homepage Remote Sensing Department, University of Würzburg    
• Homepage CLE department of UFZ    

Duration

March 2013 - September 2016

Support

• Homepage German Ministry of Economics and Energy    

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