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首页> 外文期刊>European Journal of Agronomy >Calibration of the SUCROS emergence and early growth module for sugar beet using optical remote sensing data assimilation
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Calibration of the SUCROS emergence and early growth module for sugar beet using optical remote sensing data assimilation

机译：使用光学遥感数据同化对甜菜的SUCROS出芽和早期生长模块进行校准

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Coupling a radiation transfer model to a crop model makes it possible to simulate reflectance for those times in crop growth for which remote sensing data are available. The inversion of the combined model on these data then makes it possible to estimate new values for certain sensitive parameters of the crop model. A description is given of the use of such a method on a local scale for sugarbeet, focusing on the parameters describing emergence and early crop growth. The SUCROS crop model and the SAIL reflectance model were combined. The resulting model was calibrated under standard conditions and then evaluated under test conditions to which the emergence and early growth parameters of the SUCROS model were adjusted. Under the test conditions, the seedbed structure was coarser and the sowing depth greater than expected. Consequently, emergence occurred later, and the initial leaf area was smaller than expected. The SUCROS simulation using standard values for emergence and early growth parametersdid not accurately predict crop growth under these test conditions. The inversion of the combined model using a set of canopy reflectance measurements during crop establishment provided new parameter values that made it possible to accurately estimate crop yield.
机译：将辐射传输模型与作物模型耦合，可以模拟可获得遥感数据的作物生长时期的反射率。然后，根据这些数据对组合模型进行反演，就可以为作物模型的某些敏感参数估计新值。对这种方法在甜菜的局部规模上的使用进行了描述，重点是描述出现和早期作物生长的参数。结合了SUCROS作物模型和SAIL反射模型。所得模型在标准条件下进行校准，然后在测试条件下进行评估，并在此条件下调整SUCROS模型的出现和早期生长参数。在试验条件下，苗床结构较粗，播种深度大于预期。因此，出苗发生较晚，并且初始叶面积小于预期。使用标准值的出苗和早期生长参数进行的SUCROS模拟无法在这些测试条件下准确预测作物的生长。在农作物建立过程中使用一组冠层反射率测量值对组合模型进行反演，提供了新的参数值，使准确估算农作物产量成为可能。

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