Abstract: Traditional analysis of remote sensed data for crop monitoring is concentrated on isolated time index development. The method ignored the spatial and temporal character of crop condition. Because crop growth is a changing temporal and spatial process, analysis of the multi temporal and multi spatial character of remote sensed data is the basis of model development for crop modeling on a large scale. NDVI was used for this research. The NDVI database structure, parameters for the multi temporal and multi spatial characteristic analysis of NDVI for crop condition monitoring are discussed. Crop condition models based on the temporal and spatial characteristic parameters were developed for crop condition assessment in this paper.