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Time series remote sensing data have been found very useful in discriminating crops due to its temporal character that map the whole stages of crops. In order to analyze their performances, a range of different time series i.e. 16-day, 32-day, 48-day and 64-day interval was built from MODIS (Moderate Resolution Imaging Spectroradiometer) 250-m Enhanced Vegetation Index (EVI) data. These times series...
Most crop classification work use the ground reference data to training the classifier; but sometimes, the ground reference data cannot be obtained. In this paper, we tried to use the NDVI time series obtained during 2006 and 2013 to classify crop types in 2014 at 30 m spatial resolution. The experiment was conducted in Southeast Kansas, USA. Firstly, we extracted the NDVI time series using ground...
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