Environmental data use for determining the temporal carbon flow consequences of biomass for energy

可再生能源目标导致对木质生物质的需求增长，进而导致重新评估确定可持续森林管理和森林碳储量的方法。管理良好的森林既可以是生产性的，也可以是可持续的，在提供各种生态系统服务的同时，保持正的碳平衡。然而，缺乏数据和工具来量化林业管理的影响，给生物能源政策作为减缓气候变化措施的有效性带来了不确定性，并对生物能源和其他木材加工部门构成了风险。在这个项目中，E4tech、Rezatec、爱丁堡大学和DRX将开发一种方法，准确地确定从森林中移除生物质的时间碳影响。将使用信息检索算法从不同的环境数据集(卫星、雷达和地面测量)提取信息，并将其与森林生长模型联系起来。其结果将是一项服务，帮助木材行业的企业了解与特定森林生物质原料相关的温室气体影响，并向其利益攸关方证明符合可持续性标准。

Renewable energy targets have led to a growth in demand for woody biomass, in turn leading to a re-assessment of methods for defining sustainable forest management and forest carbon stock. Well managed forest can be both productive and sustainable, maintaining a positive carbon balance whilst providing all sorts of ecosystem services. However, lack of data and tools to quantify the effect of forestry management brings uncertainty to the effectiveness of bioenergy policy as a climate change mitigation measure and poses a risk to the bioenergy and other wood processing sectors. In this project E4tech, Rezatec, the University of Edinburgh and Drax will develop a methodology to accurately identify the temporal carbon impacts of biomass removal from forests. Information will be extracted from different environmental datasets (satellite, radar and on the ground measurements) using information retrieval algorithms and linked to a forest growth model. The result will be a service that helps businesses in the wood industry understand the GHG impact associated to a given forest biomass feedstock and prove compliance with sustainability criteria to its stakeholders.