Processing System of MODIS Data for Monitoring the Changes of Paddy Field

Indonesia has a role of paddy fields as the main resources in agricultural activities. Rice is the staple food of more than half of the Indonesia's population. It makes a high demand of rice in Indonesia. Meanwhile, Indonesia has experienced by the paddy field conversion, so that the monitoring of the fields is necessary. An advance remote sensing technology is a powerful tool to provide accurate and up-to-date information of dynamics change in the paddy fields immediately. The main objective of this study is to develop a reliable system that can monitor the changes in paddy fields. The system was developed using the time-series of MODIS datasets through a graphical user interface (GUI) of Matlab. MODIS product used is MOD13Q1, which take daily vegetation index data to display seasonal dynamics pattern of rice fields. As the time series data has still contains a residual noise, therefore a correction signal by wavelet coiflet transformation filter applied before the further analysis. The crop pattern clustering was done by k-mean method to get the same group of cropping pattern, including the intensity and their changes. As the results, a graphical user interface (GUI) in Matlab software is developed, which has the time of data processing faster than the conventional data processing.