FineKarstAGB: A Fine-Grained, High-Resolution Dataset of Aboveground Biomass in Southwest China
FineKarstAGB：中国南西部の高解像度地上バイオマス微細データセット (AI 翻訳)
Yixiang Li, Yongqing Bai, Zhengchao Chen
🤖 gxceed AI 要約
日本語
中国南西部のカルスト地域を対象とした、30m解像度の地上バイオマス（AGB）データセット。深層学習とサブメートル衛星画像、国家森林調査データを用いて2024年のAGBマップを生成し、独立検証とLiDAR検証を実施。地域の炭素循環モデリングや炭素会計、生態回復プロジェクト評価に貢献する。
English
FineKarstAGB is a 30-meter resolution aboveground biomass dataset for karst regions in Southwest China, generated using deep learning with sub-meter satellite imagery and national forest inventory data. Validated against independent plots and LiDAR, it supports regional carbon cycle modeling, carbon accounting, and ecological restoration assessment.
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、森林炭素吸収源の算定やJ-クレジット制度におけるバイオマス推定の精度向上に応用可能。高解像度データは、地域規模の炭素会計や生態系モニタリングの手法として参考になる。
In the global GX context
This dataset provides a methodological template for high-resolution biomass estimation that aligns with global carbon accounting standards (e.g., IPCC guidelines) and supports climate mitigation reporting. It offers a replicable approach for other regions, enhancing the accuracy of carbon stock assessments in forest ecosystems.
👥 読者別の含意
🔬研究者:Provides a validated high-resolution AGB dataset and deep learning methodology for carbon cycle and ecological studies.
🏢実務担当者:Useful for companies involved in forest carbon projects or sustainability reporting requiring precise biomass data.
🏛政策担当者:Informs regional carbon accounting and ecological restoration policy with fine-grained biomass data.
📄 Abstract（原文）
FineKarstAGB is the first fine-grained, high-resolution aboveground biomass (AGB) dataset specifically developed for evaluating the effectiveness of forest management in the karst regions of Southwest China. The dataset provides a 30-meter resolution AGB map for Southwest China in 2024, generated using a deep learning algorithm constructed from GaoFen sub-meter remote sensing imagery and National Forest Inventory (NFI) plot data. It has been validated against independent test plots and airborne LiDAR Canopy Height Models (CHM). FineKarstAGB offers critical fine-grained data support for regional carbon cycle modeling, carbon accounting, and the assessment of ecological restoration projects.Usage: The unit of the dataset is megagrams per hectare (Mg/ha), representing the AGB density within each 30 m × 30 m grid cell. The file is named FineKarstAGB.tif with a WGS84 coordinate system.Note: FineKarstAGB aim to comprehensively quantify the AGB contribution of trees in Southwest China, including Trees Outside Forests (TOF). users are advised to apply appropriate masks based on their research objects (e.g., Forest) when using the data.
🔗 Provenance — このレコードを発見したソース
- scidb https://doi.org/10.57760/sciencedb.33452first seen 2026-08-05 06:07:50
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