STUDY OF MANGROVE COVERAGE CHANGE BASED ON OBJECT (OBIA) USING SATELLITE IMAGERY IN DOMPAK ISLAND PROVINCE OF KEPULAUAN RIAU

Jurnal Ilmu dan Teknologi Kelautan Tropis

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Title STUDY OF MANGROVE COVERAGE CHANGE BASED ON OBJECT (OBIA) USING SATELLITE IMAGERY IN DOMPAK ISLAND PROVINCE OF KEPULAUAN RIAU
STUDI PERUBAHAN TUTUPAN LAHAN MANGROVE BERBASIS OBJEK (OBIA) MENGGUNAKAN CITRA SATELIT DI PULAU DOMPAK PROVINSI KEPULAUAN RIAU
 
Creator Saputra, Robin
Gaol, Jonson Lumban
Agus, Syamsul Bahri
 
Subject classification
Dompak Island
mangrove
OBIA
sentinel 2B
SPOT 4
klasifikasi
mangrove
OBIA
Pulau Dompak
Sentinel 2B
SPOT 4
 
Description Berbagai ancaman pada hutan mangrove baik secara alamiah seperti perubahan iklim dan kegiatan manusia seperti penimbunan, alih fungsi lahan dan penebangan semakin meningkatkan kerentanan ekosistem itu sendiri. Pengindraan jauh merupakan metode yang sangat efektif untuk digunakan dalam kegiatan pemantauan mangrove karena dapat dilakukan secara berkala dan mampu menjangkau area yang luas. Penelitian ini bertujuan untuk menganalisis perubahan tutupan mangrove di Pulau Dompak Provinsi Kepulauan Riau. Metode yang digunakan berupa klasifikasi citra satelit berbasis objek (OBIA) dengan algoritma support vector machine (SVM). Data citra satelit yang digunakan adalah SPOT 4 Tahun 2007 dan Sentinel 2B Tahun 2018 dengan resolusi spasial 10 x 10 m. Survei lapang dilakukan pada bulan September-Oktober 2018 dengan metode sampling secara acak. Hasil klasifikasi OBIA dengan algoritma SVM menghasilkan tingkat akurasi sebesar 89%, nilai kappa 0,86 dengan skala segmentasi optimum yang diperoleh adalah skala 3. Berdasarkan analisis perubahan tutupan lahan terjadi adanya penurunan luasan hutan mangrove sebesar 34,19% atau sekitar 46,61 ha sejak Tahun 2007 hingga 2018.
The threats on mangrove forest, either naturally such as climate change or human activities such as landfill, land-use change, and deforestation, can increase the vulnerability of this ecosystem itself. Remote sensing is an effective method to use as mangrove monitoring activity because it can be done periodically and can reach a large area. This research aims to analyse mangrove coverage changes in Dompak Island, Kepulauan Riau Province. The method that was used is satellite imagery classification based on object (OBIA) with support vector machine (SVM) algorithm. Satellite imagery data that was used are SPOT 4 in 2007 and Sentinel 2B in 2018 with spatial resolution of 10 x 10 m. Ground check was conducted on September-October 2018 using random sampling method. The classification results of OBIA with SVM algorithm showed 89% accuracy level, 0.86 kappa values with optimum segmentation value of 3. Based on coverage land analysis, there was degradation of 34.19% mangrove area, or about 46.61 ha, since 2007 to 2018.
 
Publisher Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.ipb.ac.id/index.php/jurnalikt/article/view/27886
10.29244/jitkt.v13i1.27886
 
Source Jurnal Ilmu dan Teknologi Kelautan Tropis; Vol. 13 No. 1 (2021): Jurnal Ilmu dan Teknologi Kelautan Tropis; 39-55
2620-309X
2087-9423
10.29244/jitkt.v13i1
 
Language eng
 
Relation https://journal.ipb.ac.id/index.php/jurnalikt/article/view/27886/21590
 
Rights Copyright (c) 2021 Jurnal Ilmu dan Teknologi Kelautan Tropis
https://creativecommons.org/licenses/by-sa/4.0
 

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