An upper bound on carbon emissions of drained peat soils from satellite radar interferometry
衛星干渉SARによる排水された泥炭土の炭素排出量の上限推定 (AI 翻訳)
Philip Conroy, Ramon Hanssen
🤖 gxceed AI 要約
日本語
本研究は、衛星搭載の合成開口レーダー干渉法（InSAR）を用いて、泥炭土上の排水・耕作された草地からのCO2排出量の上限を推定する手法を提案。オランダ西部を対象に、1haあたり年間21.5tCO2相当の排出上限を特定し、地域全体では2.3MtCO2/年（2019年のオランダ総排出量の1.3%）と算出した。本手法は将来排出量の予測や沈下対策の効果評価にも応用可能。
English
This study proposes a method using satellite-based synthetic aperture radar interferometry (InSAR) to estimate an upper bound on CO2-equivalent emissions from drained and cultivated peat soils. Applied to the western Netherlands, the method yields an upper bound of 21.5 tCO2-eq/ha/yr, totaling 2.3 MtCO2-eq/yr (∼1.3% of the Netherlands' 2019 emissions). The approach can also forecast future emissions and assess subsidence mitigation measures.
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
日本では泥炭土（特に北海道）からの温室効果ガス排出が課題だが、本手法は衛星データを用いたモニタリング手法として参考になる。ただし、日本の地形や気候への適用性の検証が必要。
In the global GX context
This paper introduces a novel remote sensing method to empirically estimate GHG emissions from drained peatlands, offering a cost-effective alternative to process-based models. It aligns with global efforts to improve carbon accounting and monitoring, relevant for national inventory reporting and climate mitigation.
👥 読者別の含意
🔬研究者:Provides a new empirical approach for peatland emissions estimation using InSAR, opening avenues for cross-validation with models and application in other regions.
🏢実務担当者:Offers a satellite-based method that can be used by carbon offset projects or environmental consultancies for peatland monitoring and verification.
🏛政策担当者:Highlights a scalable tool for verifying national emissions from peatlands, supporting climate commitments and land-use policies.
📄 Abstract（原文）
Drained and cultivated grasslands on peat soils behave as a significant source of greenhouse gasses by oxidation. However, the lack of empirical estimates of carbon losses from peatlands with adequate spatial and temporal resolution has forced researchers to rely on process-based model approximations to make quantitative, regional- or national-scale estimations. Here we use satellite-based synthetic aperture radar interferometry to estimate the land motion per parcel with a daily resolution, discriminate a reversible and an irreversible component, and convert this to an upper bound of CO2-equivalent emissions over the western part of the Netherlands. We find an upper bound of 21.5 tCO2-eq/ha/yr, corresponding to a total regional output of 2.3 MtCO2-eq/yr, or approximately 1.3% of the entire greenhouse gas emissions of the Netherlands in 2019. The method also allows us to provide estimates for future emissions as well as evaluate the efficacy of installed subsidence mitigation measures.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.22541/essoar.174188327.73827739/v2first seen 2026-05-22 05:01:12 · last seen 2026-05-27 05:11:54
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