J. Agric. Food. Tech., 1(12) 238-244, 2011 © 2011, TextRoad Publication ISSN 2090 – 424X Journal of Agriculture and Food Technology www.textroad.com *Corresponding Author: Rizatus Shofiyati, Indonesian Center for Agricultural Land Resources Research and Development (ICALRD), Indonesian Ministry of Agriculture, Bogor.. E-mail: rshofiyati@litbang.deptan.go.id Multi Sensor Satellite Data for Rice Production Estimation in an Effort to Support National Food Security Rizatus Shofiyati 1* , Ishak Hanafiah Ismullah 2 , and Hidayat Pawitan 3 1 Indonesian Center for Agricultural Land Resources Research and Development (ICALRD), Indonesian Ministry of Agriculture, Bogor. 2 Bandung Institute of Technology (ITB), Bandung. 3 Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (IPB), Bogor. (Indonesia) ABSTRACT Rice is a staple food for Indonesia. For some time, a food availability approach was used for based of Indonesia’s food security program. Monitoring and early warning systems is one of inherent components in the implementation of food security paradigm. Spatial information about paddy plated area and production is an important element for monitoring in agriculture. Further, the data spatially and time series, both historically and in real time, is required for consideration in the planning management and development of agricultural land. Purpose of his study is to assess spectral character of ALOS satellite imagery and combination of multi-sensors SAR and Optic to identify paddy planting area in paddy field. Research has conducted on Subang District area, West Java Province. Data used is PALSAR for analyzing of backscatter and soil moisture content and ALOS AVNIR-2 is for analyzing of NDVI and checking of land cover visually, with acquisition date on 10 May 2007. Research result shows that multi resolution data can produce a more detailed distribution map of paddy planting area of Subang. However, validation of the method used remains to be done. Multi-sensor data provides an opportunity to obtain better information and can contribute in agricultural land planning and influence to better agricultural development policies. The information can be used for policy maker for food security planning and management in Indonesia. Keywords: Paddy planting area, multi sensor, PALSAR, AVNIR-2. 1. INTRODUCTION Rice is a staple food for Indonesia, so that, agricultural land has a strategic function as the primary food provider for people in Indonesia. Rice self-sufficiency is very important for food security program. Monitoring and early warning systems is one of inherent components in the implementation of food security paradigm. Spatial information about paddy plated area and production is an important element for monitoring in agriculture. Dealing with the existing methods of food production estimation, the reliability of data and information is varying. It is obvious that the government has to maintain food security for the country, as the demand for food is significantly increasing. Usually at the time of famine, there was turmoil on the availability of rice as the national food. It is an indication of an error in the decision-making, due to misinformation. Currently, different methods of data collection, resulting in differences information in rice production estimation. To this point, agricultural monitoring techniques using appropriate tools are very important. Remote sensing data offers the advantage of a wide spectral coverage. In addition, to its temporal acquisition provides data record periodically. It can be used as an alternative to study land use change, such as the growing period of paddy field. Wide coverage of satellite data allows giving information about condition of agricultural land even in remote areas. Further analysis on such data and information would be incorporated in the current agricultural development planning. The Subang area, West Java Province, was selected as research sites. This area has contribution to national rice production with large agricultural land, both irrigated and rained. The analysis has been done by using a combination of characteristics of multi spectral satellite data (optical) and SAR (radar). The capability of SAR data can fill the lack of optical data. It is not depend on sunlight and can penetrate of clouds and fog. The combination of both allows producing better information for identification of rice plant. Satellite data used is data that was used until the current stage is the ALOS PALSAR and ALOS AVNIR-2 date of acquisition May 10, 2007. The variation of the growth period of rice plants using a variety of paddy field conditions represented each of periods of paddy growing stage in one scene data. The research result shows the possibility to use multi sensor SAR and Optic data for analyzing paddy planting area. However, the 238