Using remote sensing to monitor carbon stocks and flows in agricultural land

在农业土壤中固定和储存碳的耕作做法和干预措施可大大有助于减缓气候变化，并支持农民适应日益频繁的极端事件、干旱和洪水。政策的制定以及不同政策情景的影响建模(如在IPCC AR6中使用的)需要关于农业土壤中土壤碳的当前数量和模式的良好证据基础。该博士研究生的目的是显著提高欧盟范围内绘制表层土壤有机碳含量图的准确性。相比之下，欧盟委员会联合研究中心(JRC)目前制作的最先进的地图只解释了矿物土壤中21%的差异和有机土壤中6%的差异(Brogniez等人)。欧元。J.土壤科学。2014年)。JRC地图是使用2009年的土地利用和覆盖面积框架调查(Lucas)土壤调查数据制作的，而2018年较新的Lucas土壤调查使用了改进的方案(测量土壤容重)，并有现成的空间框架，用于使用哥白尼卫星，特别是Sentienl-2进行分析。

Farming practices and interventions that sequester and store carbon in agricultural soils can significantly contribute to climate change mitigation, as well as support farmer's adaptation to increasing frequency of extreme events, droughts and floods. Development of policy, as well as modelling the impact of different policy scenarios (as used e.g. in IPCC AR6) necessitate a good evidence base about the current quantity and pattern of soil carbon in agricultural soils.The aim of this PhD studentship isto significantly improve on the accuracy of EU-wide mapping of topsoil organic carbon content. For comparison, the current state-of-the-art map produced by the European Commission Joint Research Centre (JRC) explains only 21% of the variance in mineral soils and 6% in organic soils (Brogniez et al. Eur. J. Soil Sci. 2014). The JRC map was produced using LUCAS (land use & coverage area frame survey) soil survey data from 2009, whereas the more recent LUCAS soil survey in 2018 used improved protocols (measuring soil bulk density) and has ready-to-go spatial framework for analysis using Copernicus satellites, specifically Sentienl-2.