SOIL-EO: Mitigating transition risk in supply chains with below-ground biomass estimation using Machine Learning and Earth Observation data

SOIL-EO：利用机器学习和地球观测数据估算地下生物量，减轻供应链中的转型风险

• 批准号: 10031726
• 金额: $ 6.34万
• 依托单位: SYLVERA LTD
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10031726
• 关键词: SOIL; EO; Mitigating; transition; risk

Financial institutions are coming under ever greater regulatory pressure to ensure climate risk is central to investment decisions, governance and risk management, with recent initiatives including the Task Force on CIimate-related Financial Disclosure (TCFD), the EU's Sustainable Finance Disclosure Regulation (SFDR), as well as amendments to UCITS/AIFMD/MiFID-II and IFD/IFR. Almost 500 financial institutions across 45 countries have joined the Glasgow Financial Alliance for Net Zero (GFANZ), aligning $130trillion assets under management with net zero.The TCFD defines climate risk as '_the combination of physical risk of climate change and the transition risks of moving to net zero which may pose financial and reputational damage'_. Under the TCFD, asset managers are expected to report on governance, strategy, risk and metrics. Whilst TCFD disclosures are currently voluntary, they will become mandatory for large UK asset managers in 2022\. Other countries are expected to follow suit.Over 99% of asset managers' emissions are Scope-3 (from their investment portfolio). These are currently impossible to fully verify so managers rely on incomplete corporate reporting and inaccurate third-party providers (e.g. MSCI, Sustainalytics). These high and inaccurately quantified emissions expose them to 'transition risk' from future carbon price regulations that may create unknown liabilities.If asset managers could accurately measure portfolio company emissions, a balance sheet liability could be calculated using carbon shadow pricing, mitigating transition risk.Particular inaccuracy relates to measuring a company's impact on soil carbon from land use in supply chains (e.g. food, agriculture). Land use represents 23% of global CO2 emissions, but land also can be a powerful carbon sink (removing CO2 from the atmosphere), thus reducing company-level net emissions.Soil stores c.2500Gt, or 80% of terrestrial carbon\[8\]), and human land use processes can significantly increase or reduce sequestration. Despite this, no accurate method of frequent monitoring exists without unscalable and cost prohibitive manual sampling, meaning it is effectively excluded from current reporting.Sylvera solve this challenge by leveraging world-first multi-sensor ground truth technique to accurately infer the carbon content of soil using machine learning techniques applied to Earth Observation data. This will unlock the ability of the finance industry to evaluate the net zero status and liabilities of their investment portfolio by independently quantifying the emissions associated with land use throughout supply chains.By setting the standard for land-use emissions, SOIL-EO data will become the industry benchmark, triggering a race to the top in terms of data quality.

金融机构正面临更大的监管压力，以确保气候风险是投资决策，治理和风险管理的核心，包括最近的举措，包括与Ciimate相关的财务披露工作组（TCFD），欧盟的可持续财务披露监管（SFDR）（SFDR），以及对UCITS/AIFMD/AIFMD/MIFID-IFID/IFD/IFD/IFD/IFD的修正案。近45个国家 /地区的近500家金融机构加入了格拉斯哥金融联盟的净零（GFANZ），使管理层管理的1300亿美元资产与净零净保持。TCFD将气候风险定义为“气候变化的物理风险的组合，以及将净Zero的过渡风险和净Zero的过渡风险相结合。根据TCFD，预计资产经理将报告有关治理，战略，风险和指标的报告。尽管TCFD披露目前是自愿的，但对于2022年，英国大型资产经理将成为强制性。预计其他国家将效仿。有99％的资产经理排放量为范围3（来自其投资组合）。这些目前是不可能完全验证的，因此管理人员依靠不完整的公司报告和不准确的第三方提供商（例如MSCI，Sustainalytics）。 These high and inaccurately quantified emissions expose them to 'transition risk' from future carbon price regulations that may create unknown liabilities.If asset managers could accurately measure portfolio company emissions, a balance sheet liability could be calculated using carbon shadow pricing, mitigating transition risk.Particular inaccuracy relates to measuring a company's impact on soil carbon from land use in supply chains (e.g. food,农业）。土地使用占全球CO2排放量的23％，但土地也可以是强大的碳汇（从大气中删除CO2），从而减少了公司级别的净排放。SOIL商店C.2500GT，或陆生碳\ [8 \]的80％，人类土地使用过程可以大大增加或减少序列化。尽管如此，在没有不可分割且成本过高的手动采样的情况下，没有准确的频繁监控方法存在，这意味着它可以有效地排除在当前的报告中。Sylvera通过利用世界上的世界学习技术来利用对地球观察数据应用的机器学习技术来准确地推导土壤含量的碳含量来解决这一挑战。这将通过独立量化与土地利用相关的排放量来评估财务行业评估其投资组合的净零净状况和负债的能力。通过为土地使用排放设定标准，土壤 - 欧洲数据将成为行业基准，从而在数据质量方面触发了一项竞赛。