Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tres20 International Journal of Remote Sensing ISSN: 0143-1161 (Print) 1366-5901 (Online) Journal homepage: http://www.tandfonline.com/loi/tres20 Rice yield estimation using synthetic aperture radar (SAR) and the ORYZA crop growth model: development and application of the system in South and South-east Asian countries T. D. Setiyono, E. D. Quicho, F. H. Holecz, N. I. Khan, G. Romuga, A. Maunahan, C. Garcia, A. Rala, J. Raviz, F. Collivignarelli, L. Gatti, M. Barbieri, D. M. Phuong, V. Q. Minh, Q. T. Vo, A. Intrman, P. Rakwatin, M. Sothy, T. Veasna, S. Pazhanivelan & M. R. O. Mabalay To cite this article: T. D. Setiyono, E. D. Quicho, F. H. Holecz, N. I. Khan, G. Romuga, A. Maunahan, C. Garcia, A. Rala, J. Raviz, F. Collivignarelli, L. Gatti, M. Barbieri, D. M. Phuong, V. Q. Minh, Q. T. Vo, A. Intrman, P. Rakwatin, M. Sothy, T. Veasna, S. Pazhanivelan & M. R. O. Mabalay (2018): Rice yield estimation using synthetic aperture radar (SAR) and the ORYZA crop growth model: development and application of the system in South and South-east Asian countries, International Journal of Remote Sensing, DOI: 10.1080/01431161.2018.1547457 To link to this article: https://doi.org/10.1080/01431161.2018.1547457 Published online: 11 Dec 2018. Submit your article to this journal Article views: 28 View Crossmark data