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Long-Term Monitoring of Carbon Dynamics and Mangrove Health Using Remote Sensing: A Study of Balikpapan Bay, Indonesia

リモートセンシングを用いた炭素動態とマングローブ健康状態の長期モニタリング:インドネシア・バリクパパン湾の研究 (AI 翻訳)

A. A. Md. Ananda Putra Suardana, Nanin Anggraini, Nugraheni Setyaningrum, Muhammad Rizki Nandika, Azura Ulfa, Devica Natalia Br Ginting, Kuncoro Teguh Setiawan, Ratih Dewanti Dimyati

ILMU KELAUTAN Indonesian Journal of Marine Sciences📚 査読済 / ジャーナル2026-05-31#炭素会計Origin: Global
DOI: 10.14710/ik.ijms.31.2.195-208
原典: https://doi.org/10.14710/ik.ijms.31.2.195-208
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🤖 gxceed AI 要約

日本語

本研究は2013年から2020年のLandsat8画像を用いてインドネシア・バリクパパン湾のマングローブ林の健康状態(MHI)と炭素貯蔵量(AGC)を評価した。その結果、健康なマングローブほど炭素隔離能が高いことが示され、地域規模での気候変動緩和に向けた継続的なモニタリングと適応的管理の重要性が確認された。

English

This study assessed mangrove health and carbon storage in Balikpapan Bay, Indonesia using Landsat-8 imagery (2013-2020). The results showed a positive trend in mangrove health and a strong correlation with above-ground carbon (AGC), highlighting the importance of sustained monitoring for 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

日本ではブルーカーボン生態系の保全が注目されており、本手法は日本のマングローブ林や藻場の炭素貯留量評価に応用可能。また、リモートセンシングによる長期モニタリングは、日本の沿岸域管理や気候変動適応策に資する。

In the global GX context

This study provides a method for remote sensing-based carbon accounting in mangroves, which is relevant to global blue carbon initiatives and climate mitigation policies. It offers a cost-effective approach for monitoring coastal ecosystem health and carbon stocks, supporting international frameworks like REDD+ and IPCC guidelines.

👥 読者別の含意

🔬研究者:Presents a validated remote sensing methodology (MHI and AGC estimation) that can be replicated or refined for other blue carbon ecosystems.

🏢実務担当者:Offers a practical tool for coastal managers to monitor mangrove health and carbon storage over time using freely available satellite data.

🏛政策担当者:Provides evidence that mangrove conservation enhances carbon sequestration, supporting policy decisions for blue carbon projects and climate mitigation funding.

📄 Abstract(原文)

Mangrove ecosystems provide critical ecological services, including supporting coastal fisheries, protecting shorelines, and functioning as significant carbon sinks within the global carbon cycle. These ecosystems play a substantial role in climate change mitigation, as they are capable of sequestering up to three times more carbon dioxide (CO₂) than terrestrial forests. Given increasing anthropogenic pressures and environmental change, continuous monitoring of mangrove health is essential to sustain these ecological functions and ecosystem services. Remote sensing technology offers a cost-effective and efficient approach for large-scale assessment, spatial analysis, and long-term monitoring of mangrove conditions. This study utilized cloud-free Landsat-8 imagery from 2013 to 2020 to evaluate mangrove health in Balikpapan Bay using the Mangrove Health Index (MHI), which classifies conditions into three categories: excellent, moderate, and poor. Carbon storage was estimated using a model integrating vegetation indices with Above-Ground Carbon (AGC). The results revealed a fluctuating yet overall positive trend in mangrove health, with the “excellent” category increasing by 1.023% (174.78 ha), while the “poor” category decreased by 1.098% (187.67 ha) over the study period. AGC values exhibited a comparable pattern, reaching a peak of 375.54 Mg.ha-1 in 2018 (mean: 125.85 Mg.ha-1). A strong positive correlation (r = 0.994) was observed between estimated mangrove health and AGC values, indicating that healthier mangrove ecosystems possess greater carbon sequestration potential. These findings highlight the importance of sustained monitoring and adaptive management strategies to support mangrove conservation and strengthen their contribution to climate change mitigation at regional and landscape management and policy scales.

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