グレシク沿岸域における産業5.0を支援するLandsatベースのマングローブ・ブルーカーボン監視
<b>Landsat-Based Monitoring of Mangrove Blue Carbon Supporting Industry 5.0 in Gresik Coastal Area</b> (原題)
Achmad Dadang Burhanuddin, Nur Islakhun Nisa', Masruhin Masruhin, Riyan Riyadlun Najih
🤖 gxceed AI 要約
日本語
インドネシアのグレシク沿岸部で、Landsat 8/9衛星画像とNDVIを用いてマングローブのブルーカーボン貯留量を推定した。3つの工業地帯を比較し、産業Aが最大の炭素貯留量（60.31 tC）を示した。リモートセンシングとGISの統合は低コストで反復可能な監視手法であり、ESG報告やCSR評価に活用できる。
English
This study estimates mangrove blue carbon stocks in Gresik, Indonesia using Landsat 8/9 imagery and NDVI. Among three industrial zones, Industry A had the highest carbon stock (60.31 tC). The integration of remote sensing and GIS offers a low-cost, repeatable monitoring approach, supporting ESG reporting and CSR evaluation.
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SSBJ開示や生物多様性への関心が高まる中、衛星リモートセンシングによる自然資本評価は、サプライチェーン全体の環境影響把握に有用。インドネシアの事例は、日本企業の海外進出先でのESGデータ収集に応用可能。
In the global GX context
This study contributes to global blue carbon accounting and ESG reporting by demonstrating a low-cost remote sensing method. It aligns with ISSB and TNFD frameworks, offering a replicable approach for mangrove monitoring in tropical coastal areas.
👥 読者別の含意
🔬研究者:Provides a case study of NDVI-based carbon estimation in Indonesian mangroves, useful for blue carbon research.
🏢実務担当者:Offers a practical method for companies to monitor mangrove ecosystems for ESG and CSR reporting.
🏛政策担当者:Highlights the potential of remote sensing for coastal environmental management and carbon accounting.
📄 Abstract（原文）
Mangrove ecosystems play a crucial role as blue carbon reservoirs while providing ecological services that support the sustainability of coastal environments. However, rapid industrial development in coastal areas has increased pressure on mangrove ecosystems, highlighting the need for efficient and data-driven environmental monitoring. This study aimed to estimate mangrove blue carbon potential using Landsat 8/9 satellite imagery and the Normalized Difference Vegetation Index (NDVI) to support the implementation of Industry 5.0 in coastal industrial areas of Gresik Regency, Indonesia. Spatial analysis was conducted using QGIS through NDVI calculation, land cover classification, and above-ground biomass (AGB) estimation based on an NDVI-derived allometric equation. Three industrial zones (Industry A, Industry B, and Industry C) were analyzed as representative study areas. The results showed that Industry C had the largest mangrove cover (26.30%), followed by Industry B (14.10%) and Industry A (8.77%). Nevertheless, Industry A exhibited the highest NDVI value (0.41) and the greatest estimated blue carbon stock (60.31 tC), followed by Industry C (54.21 tC) and Industry B (33.08 tC). The integration of remote sensing and Geographic Information Systems (GIS) provides an effective, low-cost, and repeatable approach for periodic mangrove monitoring. Furthermore, the resulting spatial information has significant potential to support environmental management, mangrove rehabilitation, Environmental, Social, and Governance (ESG) reporting, Corporate Social Responsibility (CSR) evaluation, and digital environmental monitoring systems aligned with the principles of Industry 5.0.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.11594/ijmaber.07.07.30first seen 2026-08-19 04:45:29
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