The Government of Indonesia has embarked on a policy to bring crop insurance to all of Indonesia’s farmers. To support the Indonesian government, the G4INDO project (www.g4indo.org) is developing/constructing an integrated platform for judging and handling insurance claims. The platform consists of bringing together remote sensed data (both visible and radar) and hydrologic and crop modelling and forecasting to improve predictions in one forecasting platform (i.e. Delft-FEWS, Werner et al., 2013). The hydrological model and crop model (LINTUL) are coupled on time stepping basis in the OpenStreams framework (see https://github.com/openstreams/wflow) and deployed in a Delft-FEWS forecasting platform to support seasonal forecasting of water availability and crop yield. First we will show the general idea about the project, the integrated platform (including Sentinel 1 & 2 data) followed by first (reforecast) results of the coupled models for predicting water availability and crop yield in the Brantas catchment in Java, Indonesia.
|Publication status||Published - 2016|
|Event||AGU Fall Meeting 2016 - San Francisco, United States|
Duration: 12 Dec 2016 → 16 Dec 2016
|Conference||AGU Fall Meeting 2016|
|Period||12/12/16 → 16/12/16|
van Verseveld, W., Weerts, A., Trambauer, P., de Vries, S. C., Conijn, J. G., van Valkengoed, E., ... Schrevel, A. (2016). Modelling and Forecasting of Rice Yield in support of Crop Insurance. Abstract from AGU Fall Meeting 2016, San Francisco, United States.