MIRAH RISMAYANTI, GUSTI AYU MADE and Surbakti, Heron and Barus, Beta Susanto (2025) PEMETAAN ESTIMASI STOK KARBON BIRU PADA KAWASAN MANGROVE BERBASIS CLOUD MENGGUNAKAN GOOGLE EARTH ENGINE (GEE) DI PESISIR BANYUASIN, SUMATERA SELATAN. Undergraduate thesis, Sriwijaya University.
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Abstract
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.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Mangrove, Pesisir Banyuasin, Cloud, Sentinel-2A, Karbon Biru (Blue Karbon) |
Subjects: | Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages |
Divisions: | 08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1) |
Depositing User: | Gusti Ayu Made Mirah Rismayanti |
Date Deposited: | 19 Mar 2025 05:04 |
Last Modified: | 19 Mar 2025 05:04 |
URI: | http://repository.unsri.ac.id/id/eprint/169308 |
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