%0 Journal Article %A Yi-Shiang Shiu and Meng-Lung Lin and Kang-Tsung Chang and Tzu-How Chu %D 2010 %J International Journal of Geological and Environmental Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 43, 2010 %T Mapping Paddy Rice Agriculture using Multi-temporal FORMOSAT-2 Images %U https://publications.waset.org/pdf/1571 %V 43 %X Most paddy rice fields in East Asia are small parcels, and the weather conditions during the growing season are usually cloudy. FORMOSAT-2 multi-spectral images have an 8-meter resolution and one-day recurrence, ideal for mapping paddy rice fields in East Asia. To map rice fields, this study first determined the transplanting and the most active tillering stages of paddy rice and then used multi-temporal images to distinguish different growing characteristics between paddy rice and other ground covers. The unsupervised ISODATA (iterative self-organizing data analysis techniques) and supervised maximum likelihood were both used to discriminate paddy rice fields, with training areas automatically derived from ten-year cultivation parcels in Taiwan. Besides original bands in multi-spectral images, we also generated normalized difference vegetation index and experimented with object-based pre-classification and post-classification. This paper discusses results of different image classification methods in an attempt to find a precise and automatic solution to mapping paddy rice in Taiwan. %P 264 - 270