CarbonCreditBuy：農地における樹木由来炭素除去量と指標的クレジット価値を推定するオープンで説明可能なプラットフォーム
CarbonCreditBuy: An Open, Explainable Platform for Estimating Tree-Based Carbon Removal and Its Indicative Credit Value on Farmland (原題)
Pavan Manjunath, Thomas
🤖 gxceed AI 要約
日本語
CarbonCreditBuyは、農家や研究者が地図上で土地を指定し、ESA WorldCoverやSentinel-2のNDVI/NDMIなどの地球観測データと設定駆動型パラメータを組み合わせ、IPCC 2006 Tier 1（Tier 2はChave et al. 2014の実測直径）に基づく炭素除去量を低・中・高レンジで推定するオープンソースの地理空間プラットフォームである。9つの決定論的エージェントが6つのガードレールの下で結果を説明し、任意のLLMは編集済みテキストの言い換えのみを担う。政策エンジンはインド・米国・EUのプログラムと樹齢規則をスクリーニングする。すべての出力はシナリオ推定であり、認証されたクレジットではない。
English
CarbonCreditBuy is an open-source geospatial platform that estimates tree-based carbon removal on farmland using Earth-observation layers (ESA WorldCover, Sentinel-2 NDVI/NDMI) and configurable parameters, applying IPCC 2006 Tier 1 (Tier 2 with measured diameter via Chave et al. 2014) to produce low-central-high ranges with confidence grades and provenance. Nine deterministic agents explain results under six guardrails, with an optional LLM limited to rephrasing redacted text. A policy engine screens programmes and tree-age rules for India, the US and the EU. All outputs are scenario estimates, not certified credits.
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J-クレジットや農林水産省の農業由来炭素クレジット制度が拡大しており、本プラットフォームの透明な推定手法と政策スクリーニング機能は、国内の農地炭素除去プロジェクトの事前評価やSSBJ開示におけるScope 3・除去量算定の基礎として参考になる。
In the global GX context
Globally, this work addresses the growing need for transparent, verifiable carbon removal estimation in agriculture, aligning with ISSB/CSRD disclosure requirements and voluntary carbon market integrity initiatives. Its open, explainable design and policy screening for multiple jurisdictions offer a model for bridging farm-level data with programme eligibility.
👥 読者別の含意
🔬研究者:Provides an open, reproducible framework for estimating tree-based carbon removal with uncertainty ranges and provenance, useful for studying MRV and policy screening.
🏢実務担当者:Enables farmers and advisors to pre-screen land for carbon programme eligibility and estimate potential removal, though outputs are not certified credits.
🏛政策担当者:Offers a transparent tool for assessing programme rules and tree-age criteria across jurisdictions, supporting evidence-based policy design.
📄 Abstract（原文）
CarbonCreditBuy is an open-source, self-hostable geospatial platform that helps farmers, landowners, advisors and researchers estimate how much carbon the trees on one piece of land may remove, and what evidence is still missing before a recognised carbon or environmental programme could issue any credit. Users mark land on a map (boundary, freehand pen, rectangle, circle, tree line, pin with area, typed coordinates, or imported GeoJSON/KML/CSV/LAS/LAZ files). Deterministic engines combine Earth-observation layers (ESA WorldCover land cover, Copernicus Sentinel-2 NDVI/NDMI) with configuration-driven parameters, each carrying a source and a verification status, to compute IPCC 2006 Tier 1 gain-loss estimates (Tier 2 with measured diameter using Chave et al. 2014) as low-central-high ranges with a confidence grade and provenance. A policy engine screens programmes and tree-age rules for India, the United States and the European Union. A team of nine deterministic agents explains results under six guardrails; an optional OpenAI-compatible language model may only rephrase redacted text. Explanations use one-at-a-time sensitivity re-runs of the engine rather than a learned model. Every output is a scenario estimate, not a carbon credit (certified: false). Demo mode uses synthetic data; agreement with field measurements has not yet been evaluated.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.23298048first seen 2026-10-13 04:39:43
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