ESTIMASI DAN PEMETAAN STOK KARBON MANGROVE DI TAMAN NASIONAL UJUNG KULON BERDASARKAN DATA CITRA SENTINEL-2 (Sebagai Rekomendasi Konten Bahan Ajar Materi Mitigasi Perubahan Iklim)

SUKARNO, DINDA LILYA SYKAS (2026) ESTIMASI DAN PEMETAAN STOK KARBON MANGROVE DI TAMAN NASIONAL UJUNG KULON BERDASARKAN DATA CITRA SENTINEL-2 (Sebagai Rekomendasi Konten Bahan Ajar Materi Mitigasi Perubahan Iklim). S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.

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Abstract

Mangrove forests are known for their ability to store up to three times more carbon than terrestrial tropical forests, a role that makes them vital for climate change mitigation through carbon sequestration.1 This study aimed to estimate and map the Above-Ground Carbon (AGC) of mangrove forests in Ujung Kulon National Park using Sentinel-2A imagery. The research was conducted from August to October in 2019 and 2025. Carbon stock values were predicted using a Random Forest regression algorithm by integrating NDVI and IRECI vegetation indices with actual biomass data derived from 2025 field allometric equations, while the 2019 data were sourced from the GEE Community.The results showed that although the model produced an R2 value of 0.13, the RMSE value of 120 indicated the specific level of prediction error. The analysis revealed that the NDVI and IRECI vegetation indices were closely correlated with carbon stocks. During the 2019 - 2025 period, there was a significant increase in carbon stocks from 128.59 tons/ha to 341.05 tons/ha. This increase was directly proportional to the expansion of the mangrove area by 121 hectares (12%). Based on these mapping results, the findings were implemented into the development of an E-Module Practicum as teaching material for climate change mitigation efforts.

Item Type:

Thesis (S1)

Contributors:

Contribution	Contributors	NIP/NIM
Thesis advisor	WAHYUNI, INDRIA	198607162015042002
Thesis advisor	FITRIANA, DESI EKA NUR	199312152022032004

Additional Information:

Hutan mangrove memiliki kemampuan menyimpan karbon hingga tiga kali lipat lebih besar dibandingkan hutan tropis daratan. Peran strategis ini menjadikan ekosistem mangrove sangat penting dalam mitigasi perubahan iklim melalui sekuestrasi karbon. Penelitian ini bertujuan untuk mengestimasi dan memetakan Above-Ground Carbon (AGC) pada hutan mangrove di Taman Nasional Ujung Kulon menggunakan citra satelit Sentinel-2A. Penelitian telah dilakukan pada periode Agustus–Oktober untuk tahun 2019 dan 2025. Nilai stok karbon diprediksi menggunakan algoritma regresi random forest dengan mengintegrasikan indeks vegetasi NDVI dan IRECI, serta data biomassa aktual dari persamaan alometrik lapangan tahun 2025, sedangkan data tahun 2019 bersumber dari data sekunder GEE Community. Hasil penelitian menunjukkan bahwa meskipun model menghasilkan nilai R2 sebesar 0,13, nilai RMSE sebesar 120 menunjukkan tingkat kemampuan prediksi yang cukup lemah. Hasil analisis mengungkapkan bahwa indeks vegetasi NDVI dan IRECI berkorelasi erat dengan stok karbon. Selama periode 2019 dan 2025, terjadi peningkatan stok karbon yang signifikan dari 128,59 ton/ha menjadi 341,05 ton/ha. Peningkatan ini berbanding lurus dengan perluasan luasan mangrove sebesar 121 hektar (12%). Berdasarkan hasil pemetaan tersebut, temuan penelitian ini diimplementasikan ke dalam pengembangan media pembelajaran E-Modul Praktikum sebagai konten bahan ajar dalam upaya mitigasi perubahan iklim.

Uncontrolled Keywords:

bahan ajar, mangrove, perubahan iklim, sentinel-2, stok karbon teaching materials, mangroves, climate change, Sentinel-2, carbon stock.

Subjects:

G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
G Geography. Anthropology. Recreation > GB Physical geography
G Geography. Anthropology. Recreation > GC Oceanography
L Education > L Education (General)
L Education > LB Theory and practice of education
S Agriculture > SD Forestry

Divisions:

02-Fakultas Keguruan dan Ilmu Pendidikan
02-Fakultas Keguruan dan Ilmu Pendidikan > 84205-Jurusan Pendidikan Biologi

Depositing User:

Ms Dinda Lilya Sykas Sukarno

Date Deposited:

05 Mar 2026 01:55

Last Modified:

05 Mar 2026 01:55

URI:

http://eprints.untirta.ac.id/id/eprint/58929

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