Crop Type Classification by Simultaneous Use of Satellite Images of Different Resolutions

Accurate and timely identification of crop types has significant economic, agricultural, policy, and environmental applications. The existing remote sensing methods to identify crop types rely on remotely sensed images of high temporal frequency in order to utilize phenological changes in crop refle...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2014-06, Vol.52 (6), p.3637-3649
Hauptverfasser:	Liu, Mark W., Ozdogan, Mutlu, Xiaojin Zhu
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Agriculture Algorithms Classification classification algorithms cost function Crops Earth Economics geospatial analysis image processing MODIS pattern recognition probability Remote sensing Satellites Spatial resolution Temporal logic vegetation mapping
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