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

利用遥感监测农田碳储量和流量

• 批准号: 2750085
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2750085
• 关键词: Using; remote; sensing; monitor; carbon

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.

在农业土壤中固碳和储存碳的耕作方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。政策的发展，以及不同政策情景的影响建模（如在IPCC AR 6中使用）需要一个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。相比之下，欧盟委员会联合研究中心（JRC）制作的最新地图仅解释了矿物土壤中21%的差异和有机土壤中6%的差异（Brogniez等人，Eur.《土壤科学杂志》2014年）。JRC地图是使用2009年的LUCAS（土地利用和覆盖面积框架调查）土壤调查数据制作的，而2018年最近的LUCAS土壤调查使用了改进的协议（测量土壤容重），并使用哥白尼卫星（特别是Sentienl-2）进行分析。