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All Journal Jurnal Fakultas Ekonomi : OPTIMAL Jurnal Bisnis Jurnal Manajemen dan Keuangan AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Hubungan Internasional Jurnal Manajemen Magister Darmajaya Journal of Information Systems and Informatics MAKILA: Jurnal Penelitian Kehutanan Jurnal Pengabdian Masyarakat Tapis Berseri
Muhammad Rafiq
Jurusan Manajemen, IBI Darmajaya Jl. Z.A. Pagar Alam No. 93 Labuhan Ratu – Bandar Lampung – Indonesia 35142 Telp : (0721) 787214
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Mathematics Other

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Land Cover Classification Using Sentinel 2A Image in Lore Lindu National Park Area, Central Sulawesi Suni, Muhammad Adam; Maarif, Fadjri; Basoka, Muhammad Darmawan; Rafiq, Muhammad; Baharuddin, Rhamdhani Fitrah
MAKILA Vol 19 No 1 (2025): MAKILA: Jurnal Penelitian Kehutanan
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/makila.v19i1.17651

Abstract

Land cover within Lore Lindu National Park is undergoing a continuous transformation driven by both natural processes and anthropogenic pressures. Accurate mapping and classification of land cover types are critical for informed conservation planning and sustainable ecosystem management. This study aims to assess the effectiveness of Sentinel-2A satellite imagery combined with the supervised Maximum Likelihood Classification (MLC) method in delineating land cover types within the Lore Lindu National Park, Central Sulawesi. The research was conducted from August to December 2023 and involved four primary stages: image pre-processing through layer stacking, land cover classification, field verification (ground truthing), and accuracy assessment. The classification results yielded an Overall Accuracy (OA) of 83.75%, indicating a high level of reliability. A total of fifteen distinct land cover classes were identified, with secondary dryland forest occupying the most significant proportion of the area (approximately 80.60%), followed by primary dryland forest, plantation areas, and smaller fractions of rice fields, mining zones, and water bodies. These findings underscore the utility of Sentinel-2A imagery, in conjunction with the Maximum Likelihood algorithm, as a dependable tool for land cover mapping in tropical protected environments. The results provide a valuable spatial basis for developing targeted conservation strategies and enhance the understanding of landscape dynamics within the park.
Co-Authors Agusman, Agusman Aswin - Baharuddin, Rhamdhani Fitrah Basoka, Muhammad Darmawan Bayu Tri Kurniawan Betty Magdalena, Betty Endang Hendrayanti Hasriani Muis Jefri Marzal Lius, Jennifer Maarif, Fadjri Marbun, Posmanto Muhammad Adam Suni Saputra, Deli Suni, Muhammad Adam Syamsurizal - - Umar, Mohamad Fahrul Himalaya Widjayanti , Yoan Budi