Invitation to submit abstracts - AGU-Utilizing remote sensing data for crop model implementation

[Mishra, Vikalp (MSFC-ST11)[UAH]]

Dear Collogues,

 

Please consider submitting abstract to the following AGU session on the use of Earth Observation data in crop modeling  

 

B126. Utilizing remote sensing data for crop model implementation at regional scales - A potential way forward for data scarce regions

 

Agricultural simulation models can be a key component in addressing issues of global food security that includes: monitoring and prediction of agricultural drought and its impacts; yields (production); and agriculture water resources. Crop models typically depend on accurate estimates of numerous inputs which for many areas of the world are typically not available. Sparse weather inputs, in combination with inconsistent management options, tend to increase uncertainties within crop models results. However, some of these uncertainties may be mitigated by utilizing remotely sensed data such as: soil moisture; leaf area index; evapotranspiration; land surface temperature etc. directly or indirectly. In this session, we aim to explore, discuss and put forward research related to the use of earth observation data and models into crop modeling directly (forcing/assimilation) or indirectly (coupled with other land surface model) for improved model performance, particularly in data limited regions of the world at regional scales.

 

 

 

 

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Vikalp Mishra, PhD

Research Scientist

Agriculture and Food Security NASA-SERVIR

Earth System Science Center, UAH

320 Sparkman Dr., Huntsville, AL

Tel: +1(256)961-7490