However, at present there are no reliable estimation of both crop areas and crop yield across the country. Therefore, the current research will attempt to use the phonological information to classify the country's land cover type in order to provide an accurate estimation of crop area and their changes through time. Thirteen successive years of 8 days Normalized Difference Vegetation Index (NDVI) with the spatial resolution of 250 m derived from the Moderate Resolution Imagery Spectrometer (MODIS) were analysed. Fourier technique will use to smooth the phonological signal. Eleven phenology metrics were extracted from MODIS NDVI time series with elevation from Shuttle Radar Topography Mission (SRTM) for Iraq to classify the crop areas. A decision tree based classifier was used to o discriminate crop types (irrigated and rainfed) to natural vegetation. Initial results suggested significant changes in crop area in Iraq from 2001 to 2013 mostly attributed to Post-Gulf war and occurrence of drought. A Detail quantitative estimate of the impact of these factors on total crop area and resulting crop yield will be presented.