A taxonomy of earth observation data for sustainable finance

Seonaid Rapach , Annalisa Riccardi , Bin Liu , James Bowden
{"title":"A taxonomy of earth observation data for sustainable finance","authors":"Seonaid Rapach ,&nbsp;Annalisa Riccardi ,&nbsp;Bin Liu ,&nbsp;James Bowden","doi":"10.1016/j.jclimf.2023.100029","DOIUrl":null,"url":null,"abstract":"<div><p>Corporate Environmental, Social and Governance (ESG) reporting has been subject to heightened attention and demand within the financial sector, with the objective of efficiently directing capital towards firms engaging in sustainable practices. Effective ESG monitoring is challenging, given the prevalence of self-disclosed internal data and managerial signalling incentives, presenting a need for comprehensive and diverse external data sources to augment existing ESG-related disclosure. Earth Observation (EO) technologies – particularly satellite data – play a crucial role in collecting spatial data on land, water, and atmosphere, making them highly useful for facilitating transition in the sector. This paper aims to outline the various ways in which EO data can be applied for the purposes of (i) future academic research in the subject area of sustainable finance and (ii) detailed ESG reporting and monitoring by practitioners. Using the ESG Key Performance Indicator (KPI) framework established by the European Commission and EFFAS, we present a framework listing all applicable KPIs against the types of satellite imagery that can be utilised in each case. Additionally, for ESG KPIs that EO data cannot directly address, we compile an ancillary list to explore potential indirect applications. To underscore the wealth of available EO data sources that can be used for sustainable finance research, we present a comprehensive catalogue of all open-access and relevant private satellite missions. Listed missions are categorised based on their spatial resolution, temporal resolution, and mission duration, facilitating research with specific requirements for these parameters.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"6 ","pages":"Article 100029"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949728023000251/pdfft?md5=91cd9a8971a6eef8f33e1704a07fb8a4&pid=1-s2.0-S2949728023000251-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Climate Finance","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949728023000251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Corporate Environmental, Social and Governance (ESG) reporting has been subject to heightened attention and demand within the financial sector, with the objective of efficiently directing capital towards firms engaging in sustainable practices. Effective ESG monitoring is challenging, given the prevalence of self-disclosed internal data and managerial signalling incentives, presenting a need for comprehensive and diverse external data sources to augment existing ESG-related disclosure. Earth Observation (EO) technologies – particularly satellite data – play a crucial role in collecting spatial data on land, water, and atmosphere, making them highly useful for facilitating transition in the sector. This paper aims to outline the various ways in which EO data can be applied for the purposes of (i) future academic research in the subject area of sustainable finance and (ii) detailed ESG reporting and monitoring by practitioners. Using the ESG Key Performance Indicator (KPI) framework established by the European Commission and EFFAS, we present a framework listing all applicable KPIs against the types of satellite imagery that can be utilised in each case. Additionally, for ESG KPIs that EO data cannot directly address, we compile an ancillary list to explore potential indirect applications. To underscore the wealth of available EO data sources that can be used for sustainable finance research, we present a comprehensive catalogue of all open-access and relevant private satellite missions. Listed missions are categorised based on their spatial resolution, temporal resolution, and mission duration, facilitating research with specific requirements for these parameters.

用于可持续金融的地球观测数据分类标准
企业环境、社会和治理(ESG)报告一直受到金融业的高度关注和需求,其目的是有效地引导资本流向从事可持续发展实践的企业。鉴于自我披露内部数据和管理信号激励机制的普遍存在,有效的 ESG 监测具有挑战性,因此需要全面、多样的外部数据源来充实现有的 ESG 相关披露。地球观测(EO)技术--尤其是卫星数据--在收集土地、水和大气的空间数据方面发挥着至关重要的作用,因此对促进该行业的转型非常有用。本文旨在概述 EO 数据的各种应用方式,以便:(i) 未来在可持续金融主题领域开展学术研究;(ii) 从业人员进行详细的 ESG 报告和监测。利用欧盟委员会和 EFFAS 建立的 ESG 关键绩效指标 (KPI) 框架,我们提出了一个框架,其中列出了所有适用的关键绩效指标,以及在每种情况下可利用的卫星图像类型。此外,对于地球观测数据无法直接解决的环境、社会和治理关键绩效指标,我们编制了一份辅助清单,以探索潜在的间接应用。为了强调可用于可持续金融研究的可用地球观测数据源的丰富性,我们提供了一份包含所有开放访问和相关私人卫星任务的综合目录。列出的任务根据其空间分辨率、时间分辨率和任务持续时间进行分类,以便于对这些参数有特定要求的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信