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All Journal Jurnal Teknologi Perikanan dan Kelautan Jurnal Biogenerasi ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua
Guido Roberto Jerun Parera
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Agriculture, Biological Sciences & Forestry Education Languange, Linguistic, Communication & Media Library & Information Science Other

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Journal : Jurnal Teknologi Perikanan dan Kelautan

 1 
PERUBAHAN TUTUPAN LAHAN MANGROVE DAN GARIS PANTAI MENGGUNAKAN CITRA MULTI SPEKTRAL DI TALIBURA, KABUPATEN SIKKA Parera, Guido Roberto Jerun; Siregar, Vincentius P.; Agus, Syamsul Bahri
Jurnal Teknologi Perikanan dan Kelautan Vol 15 No 1 (2024): FEBRUARI 2024
Publisher : Fakultas Perikanan dan Ilmu Kelautan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.15.57-67

Abstract

Degradasi lahan mangrove menyebabkan perubahan pada garis pantai. Wilayah pesisir Kecamatan Talibura, Kabupaten Sikka merupakan salah satu wilayah yang memiliki ekosistem mangrove. Keberadaan penduduk di wilayah ini, menyebabkan adanya interaksi antara penduduk dengan ekosistem mangrove sehingga terjadinya degradasi pada ekosistem mangrove. Pada wilayah pesisir Kecamatan Talibura, belum ada sama sekali penelitian yang menunjukkan perubahan tutupan lahan mangrove dan garis pantai selama 30 tahun. Penelitian ini bertujuan untuk mengetahui perubahan tutupan lahan mangrove dan garis pantai pada tahun 1990-2019 di Kecamatan Talibura. Tutupan lahan mangrove diperoleh menggunakan metode Supervised Classification dan untuk mengetahui perubahan garis pantai digunakan metode DSAS yang menghitung statistik laju perubahan garis pantai dari data citra landsat perekaman tahun 1990, 2004, dan 2019. Hasil penelitian menunjukkan adanya degradasi mangrove 60,84 ha periode waktu 1990-2004 dan mengalami penambahan 2,43 ha, yang dapat terlihat adanya abrasi di daerah degradasi mangrove dengan nilai tertinggi -487,54 m dan nilai akresi tertinggi 307,45 m di daerah yang masih terjaga ekosistem mangrovenya selama 30 tahun.
MANGROVE CARBON BIOMASS POTENCY THROUGH SATELLITE IMAGE ANALYSIS IN THE EASTERN AREA OF MAUMERE BAY: POTENSI BIOMASSA KARBON EKOSISTEM MANGROVE MELALUI ANALISIS CITRA SATELIT DI KAWASAN TIMUR TELUK MAUMERE Vincentius, Angelinus; Parera, Guido Roberto Jerun; Woda, Marianus Raymond Roky
Jurnal Teknologi Perikanan dan Kelautan Vol 16 No 4 (2025): NOVEMBER 2025
Publisher : Fakultas Perikanan dan Ilmu Kelautan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.16.370-383

Abstract

Mangrove ecosystems can store significant amounts of carbon in their standing biomass. The eastern part of Maumere Bay contains mangrove areas that are important because of their economic and ecological value. The amount of carbon stored in the mangroves is unknown due to the lack of inventory data. The objective of this study is to obtain estimated surface carbon biomass stocks in the mangrove forests in the eastern part of Maumere Bay using Sentinel-2A imagery. The study was conducted from June to September 2024. Carbon stock values ​​were obtained using the Normalized Difference Vegetation Index (NDVI) analysis method. Actual carbon stocks in surface biomass were obtained from the allometric equation. A stratified sampling method was applied to determine 18 sample spots, each with a size of 10×10 m2. Data was analyzed using accuracy tests and linear, polynomial, and exponential regression. The results of the regression analysis show that the exponential regression equation has the highest coefficient of determination (R2) value, namely 0.8373, with the highest accuracy. Therefore, the exponential regression equation was accepted as a model for estimating surface carbon stocks. The NDVI vegetation index has a strong correlation with carbon stocks of 83.73% (R2 = 0.8373). The exponential equation is y = 13.637e2.0499x, which reflects natural growth patterns where y is the carbon value and x is the NDVI value. The mangrove area covers 527.93 ha. The total aboveground carbon stock amounts to 29,760.52 tons of carbon, with an average value of 56.34 tons of carbon per hectare.
Co-Authors Erfin Nona Lanti, Arlinda Syamsul Bahri Agus, Syamsul Bahri Vincentius P Siregar Vincentius, Angelinus Woda, Marianus Raymond Roky