Dynamic Changes and Stability Assessment of Vegetation Carbon Sink in Beijing Based on LandTrendr Time Series Analysis
LandTrendr時系列分析に基づく北京市の植生炭素吸収源の動的変化と安定性評価 (AI 翻訳)
Zhang Chang, Zhu Zixu, Zhao Long, Nina Xiong, Pan Mingkun
🤖 gxceed AI 要約
日本語
本研究は北京市を対象に、GEEプラットフォームとLandsat長期リモートセンシングデータ（2001-2023年）を用い、LandTrendr時系列アルゴリズムで植生の撹乱・回復過程を識別し、炭素吸収源の撹乱強度・回復効率・安定性を三次元的に評価した。静的炭素貯留法では捉えられない短期変動を明らかにし、2013年以降の回復傾向が百万エーカー造林事業と高い一致を示した。動的評価が都市のカーボンニュートラル経路最適化に有効であることを示唆する。
English
This study uses LandTrendr time series analysis on GEE and Landsat data (2001-2023) to assess vegetation carbon sink dynamics in Beijing, identifying disturbance and restoration processes. It constructs a 3D evaluation system for disturbance intensity, restoration efficiency, and stability. Results show periodic changes and a significant recovery trend after 2013, aligned with the million-acre afforestation project, with 84.16% of pixels globally stable. Dynamic assessment better captures short-term fluctuations than static methods, aiding urban carbon neutrality planning.
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
本論文は中国北京市の事例だが、動的な炭素吸収評価手法は日本の都市緑化や森林吸収源評価にも応用可能。特にSSBJや日本のカーボンニュートラル戦略における自然資本評価の高度化に示唆を与える。
In the global GX context
While focused on Beijing, this dynamic carbon sink assessment methodology is globally relevant for urban nature-based solutions and can inform carbon accounting under ISSB or TNFD frameworks. It highlights the risk of overestimating emission reductions using static methods, a key consideration for disclosure accuracy.
👥 読者別の含意
🔬研究者:Demonstrates a novel dynamic assessment method for urban vegetation carbon sinks using LandTrendr, useful for remote sensing and carbon accounting researchers.
🏢実務担当者:Provides a methodology for more accurate carbon sink monitoring in urban greening projects, relevant for sustainability teams in city planning or real estate.
🏛政策担当者:Highlights the importance of dynamic carbon sink evaluation to avoid overestimation in emission reduction targets, applicable for urban climate policy design.
📄 Abstract（原文）
Under the background of the "dual carbon" strategy, the accuracy of urban vegetation carbon sink assessment directly affects the formulation of regional emission reduction paths. The traditional evaluation method based on static carbon storage is difficult to characterize the dynamic changes of vegetation carbon sinks during disturbance and restoration processes, and there is a risk of overestimating carbon emission reduction capacity. This article takes Beijing as the research area, and based on the GEE platform and Landsat long-term remote sensing data from 2001 to 2023, uses the LandTrendr time series algorithm to identify vegetation disturbance and restoration processes, and constructs a three-dimensional dynamic evaluation system for carbon sink disturbance intensity, restoration efficiency, and stability. The results showed that the vegetation carbon sink in Beijing exhibited significant periodic changes, and the recovery trend significantly increased after 2013, which is highly consistent with the implementation of the million acre afforestation project; The proportion of pixels with global stability is 84.16%. Comparative analysis shows that static carbon storage methods are difficult to reflect short-term fluctuations and pose a risk of overestimating emission reduction contributions. Dynamic assessment methods can truly depict the process of carbon sink changes and provide support for optimizing urban carbon neutrality pathways.
🔗 Provenance — このレコードを発見したソース
- scidb https://doi.org/10.57760/sciencedb.42186first seen 2026-07-29 11:05:20
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