Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction
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 Fil...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/33838 |
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