quantification of soil organic carbon

这项研究将解决从土壤高光谱信号中直接量化土壤有机碳的问题，以预测下一代高光谱卫星(例如CHIME、EnMap)的到来。已开发的知识将有助于克服实施再生做法的一个主要障碍，即缺乏成本效益高、健壮和可扩展的工具来量化碳抵消的有机碳。虽然在受控实验室条件下基于光谱辐射计的SOC定量方法已经建立，但这项研究将重点放在它们在实际野外条件下的转移和应用上。为此，研究问题将集中于确定受土壤湿度、地表粗糙度或作物残留物等可变环境条件影响最小的土壤光谱特征，并建立这些特征与土壤有机碳关系的模型。然后，该模型将根据现有和未来任务的可用频段进行调整，并对其性能进行测试。

This research will address the direct quantification of soil organic carbon from the soils hyperspectral signatureanticipating the arrival of the next generation of hyperspectral satellites (e.g. Chime, EnMap). The developed knowledgewill contribute to overcome a major obstacle for the implementation of regenerating practices, which is the lack of cost effective, robust and scalable tools to quantify SOC for carbon offsetting. While spectroradiometer-based methods for quantifying SOC under controlled laboratory conditions are well established, this research will focus on their transfer and application to real field conditions. For this purpose, the research questions will focus on the determination of soil spectral features minimally affected by variable environmental conditions such as soil moisture, surface roughness or crop residues and on modelling the relationship of these features to SOC. The model will then be adapted to the available spectral bands in existing and future missions, and their performance tested.