A rice-planted area map is a basic information resource for rice production management. In this study, a method is proposed to detect the annual rice-planted area by using multi-temporal phased array type L-band synthetic aperture radar. This method addresses two problems: (i) the σ 0  value of planted paddies is not consistent; and (ii) annual data fails to reveal time series change of σ 0  value in rice-planted area. Data were acquired from both planted and non-planted paddies in the dry season. Accuracy assessment was performed based on field survey data. As a result, the proposed method was effective at revealing the annual rice-planted area. It was also found that data acquired in the rice growth stage contributes to determining the rice-planted area with high accuracy. Further investigation is required that sets more detailed classes to reduce the rate of misclassification and eliminates small regions in detected images.
['Kanae Miyaoka', 'Masayasu Maki', 'Junichi Susaki', 'Koki Homma', 'Koshi Yoshida', 'Chiharu Hongo']
Detection of rice-planted area using multi-temporal ALOS/PALSAR data