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Exploring the application of Earth Observation datasets for SEEA carbon accounting and its comparison with national GHG reporting to the UNFCCC.

SEEAカーボン会計のための地球観測データセットの活用とUNFCCCへの国家温室効果ガス報告との比較 (AI 翻訳)

A. Araza, Lars Hein, Yu Feng, J. Melo, Martin Herold

Science of the Total Environment📚 査読済 / ジャーナル2026-01-19#炭素会計Origin: Global
DOI: 10.1016/j.scitotenv.2025.181189
原典: https://doi.org/10.1016/j.scitotenv.2025.181189

🤖 gxceed AI 要約

日本語

地球観測データを用いて6カ国のSEEA準拠カーボン勘定を作成し、UNFCCCに提出された国家温室効果ガスインベントリと比較。地上部炭素プールがブラジルで支配的、土壌有機炭素が他の国で重要。炭素フラックスは年々変動が大きく、会計期間と逆相関。UNFCCCとSEEAのフラックスは中程度の一致だが、泥炭地排出や森林劣化の過小評価など差異が存在。

English

This study compiles SEEA-aligned carbon accounts for six countries using Earth Observation datasets and compares them with national GHG inventories submitted to UNFCCC. Above-ground carbon dominates in Brazil, while soil organic carbon prevails in Netherlands, Sweden, Philippines, and Mozambique. Results show high inter-annual variability in carbon fluxes inversely correlated with accounting period. Moderate agreement between SEEA and UNFCCC fluxes, but discrepancies in peatland emissions and forest degradation are noted.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本では森林吸収源の報告や土地利用変化の評価に地球観測データの活用が進んでおり、本手法はSSBJや有報におけるカーボンアカウンティングの精緻化に示唆を与える。また、UNFCCC報告とSEEA会計の比較は、日本が国際的な気候変動枠組みの中で整合性を高める上で参考となる。

In the global GX context

This paper provides a methodological framework for integrating Earth Observation data into national carbon accounting, directly relevant to global efforts like the IPCC guidelines and the evolving landscape of climate disclosure (e.g., ISSB, CSRD). Its cross-country comparison highlights inconsistencies between SEEA and UNFCCC reporting, informing the need for harmonized carbon accounting standards.

👥 読者別の含意

🔬研究者:Highlights the potential of EO data for carbon accounting and inter-comparison, useful for method development and validation.

🏢実務担当者:Offers insights on leveraging EO datasets for more frequent and consistent carbon reporting, potentially improving corporate disclosure.

🏛政策担当者:Informs the design of national carbon accounting systems and identifies gaps between SEEA and UNFCCC frameworks, relevant for policy coherence.

📄 Abstract(原文)

Global biomass and carbon datasets derived from Earth Observation (EO) are rapidly increasing. Here we assess how these datasets can be used to compile carbon accounts aligned with the Systems of Environmental Economic Accounting (SEEA). Five carbon pools are considered: above-ground, below-ground, deadwood, litter and soil organic carbon (SOC) using EO datasets that include CCI Biomass and CCI Land Cover - both subjected to independent map validation. We compiled carbon accounts across multiple accounting periods, from annual to decadal intervals, spanning 2010-2021 for six countries: Brazil, Mozambique, the Netherlands, the Philippines, Sweden and USA. Next, we compared the SEEA-aligned EO-derived carbon accounts with the national greenhouse gas (GHG) inventories submitted to United Nations Framework Convention on Climate Change (UNFCCC) after considering the areas covered by managed forests and emissions from forest degradation for better comparability of the two frameworks. The compiled SEEA carbon accounts indicate that the above-ground component is the dominant carbon pool in Brazil while SOC outweighs other carbon pools in Netherlands, Sweden, Philippines and Mozambique. Results show substantial inter-annual variation in carbon fluxes, exhibiting a strong inverse relationship with accounting period (|r|=0.57-0.85). Such variability is notably higher than the values reported by countries to the UNFCCC. While UNFCCC and SEEA fluxes show moderate overall agreement (r=0.47, 58% agreement whether fluxes are sequestration or emission), there were differences across countries and flux categories. Our compiled accounts showed lower SOC emissions than UNFCCC reports potentially underestimating peatland emission; and minimal carbon emissions from forest degradation. Other sources of disagreement could be influenced by country definitions of managed forests which can be inconsistent with EO-based forest management maps, and the dependency of countries on national forest inventories which are rarely updated annually. The findings and outputs from this study echo the potential and flexibility of EO datasets for carbon accounting and inter-comparison exercises.

🔗 Provenance — このレコードを発見したソース

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