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PEMETAAN ESTIMASI STOK KARBON BIRU PADA KAWASAN MANGROVE BERBASIS CLOUD MENGGUNAKAN GOOGLE EARTH ENGINE (GEE) DI PESISIR BANYUASIN, SUMATERA SELATAN

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Penilaian

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The advancement of remote sensing technology and Geographic Information Systems (GIS) has made a significant contribution to monitoring and managing coastal ecosystems, including estimating blue carbon stocks in mangrove ecosystems. The mangroves in the Banyuasin Coast, South Sumatra, have great potential as blue carbon sinks, which are crucial for climate change mitigation. By utilizing Sentinel-2 MSI imagery and Soil Organic Carbon (SOC) data through the Google Earth Engine (GEE) platform, this study applies vegetation index analysis such as NDVI, IRECI, and TRVI to enhance carbon estimation accuracy and employs the Random Forest algorithm for mangrove cover classification. Field methods involve collecting vegetation data using line transects and measuring Diameter at Breast Height (DBH) to estimate Above Ground Carbon (AGC), while soil organic carbon content is analyzed through sediment coring techniques at depths of 0–10 cm and 11–30 cm. The analysis results indicate a mangrove density of 125 ind/ha, with an average canopy cover of 65%. The estimated blue carbon stock in this area amounts to 610.129,616 Mg, with 463.568,308 Mg stored in mangrove vegetation and 144,498,34 Mg in mangrove sediment, covering a mangrove area of 4,068 ha. Cloud-based GIS and remote sensing applications through GEE have proven efficient in mapping mangrove distribution and accurately estimating blue carbon stocks. The findings of this study are expected to serve as a reference to support sustainable mangrove ecosystem management and climate change mitigation strategies in coastal areas.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001654	T169308	T1693082025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1693082025

Publisher

Indralaya : Prodi Ilmu Kelautan, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2025

Collation

xix, 132 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

577.607

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Ekologi Mangrove

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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