RIICE: The service and its operational use
Document Type
Article
Publication Date
3-28-2022
Abstract
Where is rice, when is rice, how much will be/is rice yield is the underlying information produced by RIICE (Remote sensing-based Information and Insurance for Crops in emerging Economies), a service developed and implemented by sarmap and the International Rice Research Institute (IRRI), institutionally supported and co-founded by the Swiss Development Cooperation. RIICE relies on the integration of Synthetic Aperture Radar (SAR) derived products - such as the rice area (where), the beginning of the rice crop season (when), the Leaf Area Index (LAI) - and a crop growth simulation model - ORYZA - to provide spatially explicit forecast and estimate yield at harvest time (how much will be/is rice yield). Given the spatial and temporal information provided by remote sensing data, the model is scalable to any extent - with the use of local rice agronomic knowledge incorporated in a rice ecosystem model - and it makes it possible to attain detailed spatial yield information at 1-2 ha. After a two-year pilot across 13 sites covering 4.8 million ha, where the feasibility of the methodology has been demonstrated, RIICE has been upgraded to an operational rice monitoring service thanks to Sentinel-1 data availability. Today, it is operationally used in the Philippines, Cambodia, Vietnam, three Indian states, Odisha, Andhra Pradesh, and Tamil Nadu.
Publication Source (Journal or Book title)
Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries
First Page
105
Last Page
131
Recommended Citation
Holecz, F., Setiyono, T., Barbieri, M., Collivignarelli, F., Gatti, L., Anthony, M., Mathieu, R., Quicho, E., Maunahan, A., Satapathy, S., Murugesan, D., Ganesan, P., Laborte, A., Mabalay, M., de Dios, J., Quilang, E., Sothy, M., Rothana, P., Seng, V., Chhay, N., Chin, C., Do Minh, P., Vang, H., Tuan, V., Quang, T., Minh, V., Hong, N., Pazhanivela, S., & Zaugg, B. (2022). RIICE: The service and its operational use. Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries, 105-131. https://doi.org/10.1007/978-3-030-92365-5_6