IntroductionBackgroundRice is the second most harvested staple food in the world and the major staple food in the Asian region. Rice can contribute to food problems and poverty reduction because millions of small farmers grow millions of hectares of rice in the Asian region and there are landless workers who generate some income working on these farms. 60% of the world population and 90% of the world's rice production come from the Asian continent (Geert Claessens). Rice monitoring and mapping are very important for food security, environmental sustainability, water security, greenhouse gas emissions and also economically. Most countries in the Asian region use statistical survey methods to collect rice field data from community to national levels. These statistical data sources have some limitations to meet the needs of scientific and policy researchers. They need geospatial databases of rice agriculture with up-to-date spatial and temporal resolution (Xiao, et al., 2006). Remote sensing (RS) is becoming an essential tool for monitoring, mapping, and observing rice cultivation over large areas, at repeated time intervals ( Figlio, NT, et al., 2012 ). According to the review article of Remote Sensing of Rice Crop Areas by Kuenzer, C., & Knauer, K., 2013, remote sensing combined with geographic information system (GIS), can provide reliable information for a variety of related purposes to rice cultivation as follows. Mapping and monitoring the extent of rice cultivation ecosystems Monitoring and evaluation of rice growth and health status Evaluation of cultivation pattern and efficiency of cultivation system Estimation of parameters related to crop growth. ..... half of the document ....../isprsarchives-XXXIX-B3-421-2012, 2012.11. The Landscape ToolBox, Enhanced Vegetation Index (EVI), a joint project of The Nature Conservancy and USDA Agricultural Research Service.12. Toshihiro Sakamoto, Masayuki Yokozawa, Hitoshi Toritani, Michio Shibayama, Naoki Ishitsuka, Hiroyuki Ohno, 2005. A crop phenology detection method using MODIS time series data, Remote Sensing of Environment, Volume 96, Issues 3–4, 30 June 2005, Pages 366-374, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2005.03.008.13. Xiangming Xiao, Stephen Boles, Steve Frolking, Changsheng Li, Jagadeesh Y. Babu, William Salas, Berrien Moore III, 2006. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS imagery, Remote Sensing of Environment, Volume 100, Number 1, 15 January 2006, pages 95-113, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2005.10.004.