Surface soil moisture pattern analysis using SAR data und modelling (C03)

我们利用最近和即将发射的星载极化合成孔径雷达系统产生的新的观测机会，研究导致表层土壤水分模式的因果关系。结合基于模型的方法，我们特别研究了植物生长动态和农业管理的影响。通过将遥感和基于模型的方法相结合，我们将有助于a)更好地了解自然过程和农业管理之间的相互作用，b)更好地了解土壤水分的尺度特性，以及c)改进土壤和植物的CLM参数。

We investigate cause and effect relationships leading to surface soil moisture patterns using new observational opportunities arising from recently and soon to be launched space-borne polarimetric SAR systems. Combined with a model-based approach we particularly investigate the impacts of plant growth dynamics and agricultural management. By integrating remote sensing and model-based methods we will contribute to a) a better understanding of interactions of natural processes and agricultural management, b) an improved understanding of scaling properties of soil moisture, and c) an improved soil and plant parameterization for CLM.