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センシング技術を用いた炭素バイオマス推定

Carbon Biomass Estimation Using Sensing Technologies (原題)

Shehryar Liaqat, Muhammad Mubeen, Hafiz Muhammad Rashad Javeed, Saeed Ahmad Qaisrani, Mazhar Ali, Raheela Jabeen, Muhammad Shahzad, Muhammad Aqeel Sarwar, Maryam Zain, Faraha Deeba, Faheem Nawaz, Farhan Saeed, Iftikhar Ahmad, Muhammad Amjad Farooq, Ali Zakir, Muhammad Nadeem

Apple Academic Press eBooksジャーナル2026-08-27#炭素会計対象セクター: agriculture
DOI: 10.1201/9781779641519-4
原典: https://doi.org/10.1201/9781779641519-4

🤖 gxceed AI 要約

日本語

本総説は、地上センサー、LiDAR、リモートセンシングなどのセンシング技術を用いた炭素バイオマス推定の方法と応用を概説する。森林管理、農業、エネルギー分野での利用を検討し、気候変動緩和への貢献を論じる。技術の利点と課題を整理し、複数技術の併用の重要性を強調している。

English

This review explores sensing technologies (ground-based sensors, LiDAR, remote sensing) for carbon biomass estimation, focusing on applications in forest management, agriculture, and energy. It discusses benefits, drawbacks, and the need for integrated approaches, highlighting the role in climate change mitigation.

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が課題であり、本総説はセンシング技術の活用可能性を示す。また、SSBJ開示における自然関連情報の基盤としても有用。

In the global GX context

Globally, this review supports climate disclosure and carbon accounting by providing an overview of sensing technologies for biomass estimation, relevant to TCFD/ISSB nature-related disclosures and carbon credit methodologies.

👥 読者別の含意

🔬研究者:Provides a comprehensive overview of sensing technologies for biomass estimation, useful for identifying research gaps and methodological choices.

🏢実務担当者:Offers insights into cost-effective and non-destructive methods for carbon biomass monitoring, applicable to sustainability reporting and carbon credit projects.

🏛政策担当者:Highlights the potential of sensing technologies to improve national carbon inventories and support climate mitigation policies.

📄 Abstract（原文）

128 In this chapter, the use of sensing technologies in estimating carbon biomass is explored with a focus on ecological monitoring, forest management, agriculture, and energy sectors. Estimating carbon biomass is crucial for comprehending the effects of climate change and putting effective mitigation measures in place. Sensing technologies provide a non-destructive and affordable method of quantifying carbon biomass in various ecosystems. In the introduction, the importance of carbon biomass estimation in combating climate change and the need for sensing technologies in this process is described. Various sensing modalities frequently employed for carbon biomass estimation include ground-based sensors, LiDAR, and remote sensing. In the next section, the benefits, drawbacks, and complementary nature of these technologies are discussed, highlighting the necessity of their joint application. The following section focuses on the uses of sensing technologies in forest management, explaining how these technologies are used for forest inventory, timber harvesting, restoration, mapping of forest structure, estimation of their carbon and biomass stores, and identification of potential areas for reforestation and restoration. These technologies help in mapping crop yields and bioenergy production. The use of sensing technologies for estimating carbon biomass faces both opportunities and challenges.

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