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JRC, CCAFS jointly sponsored the workshop on June 13-14, 2012, at the JRC in Ispra, Italy, to identify avenues for exploiting remote sensing information to improving crop forecasting in smallholder farming environments. The workshop’s objectives were: 1) To advance the state-of-knowledge of data ...


Hoefsloot PInes, Amor V. M.Dam, Jos C. vanDuveiller, GregoryKayitakire, FrancoisHansen, James[Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments]Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments

To improve the prediction of crop yields at an aggregate scale, we developed a data assimilation-crop modeling framework that incorporates remotely sensed soil moisture and leaf area index (LAI) into a crop model using sequential data assimilation. The core of the framework is an Ensemble Kalman ...


Ines, Amor V. M.Das, NNHansen, JamesNjoku, EG[Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction]Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction

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