Dynamics Pattern Analysis of Paddy Fields in Indonesia for Developing a Near Real-time Monitoring System Using MODIS Satellite Images

Abstract

Accurate and up-to-date information of paddy fields over wide areas is essential to support sustainable agricultural and a food security program. It is an urgent need to develop near-real time paddy field monitoring, which can be used by policy maker for handling the food problems directly. This study explored the use of multi temporal MODIS EVI 16-day composite data, which provided the seasonal dynamics for the paddy field patterns from 2000 to 2014. We characterized seasonal vegetation dynamics from MODIS satellite datasets in order to analyze the dynamics change in paddy field. The results indicate that the methodology employed in this research distinguished many specific uses in paddy fields as means of their cropping intensity. Moreover, the seasons were the most important factor affected the dynamics change in the agricultural system. Indeed, characterizing the long-term vegetation dynamics provides information about the characteristic and trends in paddy field area, either caused by natural factors or human activities, also to be a guidance of water resources management due to improving its effectiveness.