抄録
In this study, spatio-temporal patterns of continuous paddy fields were examined using the patterns observed in metrics calculated for six month of MODIS over Japan. Four analytical approached were used; calculation of temporal mean, maximum and minimum layers for selected metrics showing significant spatial variability of channel 1, 2, NDVI; linear discriminant for input into the un-mixing analysis was derived from the same multi-temporal metrics used for the classification product using ASTER; the continuous percentage of paddy field was generated based on un-mixing technique with the training data derived from the above mentioned ASTER data. The derived metrics were not sensitive to time of year or the seasonal cycle and can limit the inclusion of atmospheric contamination. The comparison of 250m MODIS product with the past efforts on AVHRR, SPOTVEGETATION and MODIS sensors, and statistics by IRRI showed that the finer resolution and its un-mixing played a crucial role in depicting the paddy field cover over Japan.
