Identifikasi Hutan Mangrove Menggunakan Citra Satelit SAR (Synthetic Aperture Radar) Sentinel 1 di Kecamatan Medan Belawan Kota Medan

Abstract

Accurate and proper land cover information plays a crucial role in monitoring land cover conditions and promoting sustainable land resource management. Medan Belawan sub-district is located in the coastal area of Medan city. This study aims to identify mangrove forests in Medan Belawan sub-district, Medan city, using the random forest and maximum likelihood methods in the year 2023. The method used is random forest and maximum likelihood. The research results indicate that using Sentinel-1 SAR imagery, there are five land cover classes: mangrove, water bodies, built-up areas, open land, and fishponds. The mangrove forest area using the random forest method is 1,325.81 hectares or 43.64% with a kappa accuracy value of 85.09%. The mangrove forest area using the maximum likelihood method is 1,355.797 hectares or 44.687% with a kappa accuracy value of 77.4%. Based on these findings it can be concluded that the application of remote sensing using Sentinel-1 SAR imagery for identifying mangrove forests in Medan Belawan sub-district in 2023, the random forest method yields more accurate results compared to the maximum likelihood method.