Evaluating the Potential of PROBA-V Satellite Image Time Series for Improving LC Classification in Semi-Arid African Landscapes

Evaluating the Potential of PROBA-V Satellite Image Time Series for Improving LC Classification in Semi-Arid African Landscapes

Satellite based land cover classification for Africa’s semi-arid ecosystems is hampered commonly by heterogeneous landscapes with mixed vegetation and small scale land use. Higher spatial resolution remote sensing time series data can improve classification results under these difficult conditions....

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Bibliographic Details
Main Authors: Johannes Eberenz, Jan Verbesselt, Martin Herold, Nandin-Erdene Tsendbazar, Giovanni Sabatino, Giancarlo Rivolta
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Remote Sensing
Subjects:
time series
land cover
classification
PROBA-V
semi-arid
Africa
machine learning
Online Access:http://www.mdpi.com/2072-4292/8/12/987

Internet

http://www.mdpi.com/2072-4292/8/12/987

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