Abstract
Mangroves are one of the most productive ecosystems for human life, marine ecosystems, and coastal areas. Mangrove distribution is a distribution based on specific geographical or administrative boundaries. Kota Langsa is one of the areas that has a good representation of the distribution of mangroves. Therefore, researchers studied the Kota Langsa area because Kota Langsa is one of the areas with the largest and most diverse mangrove ecosystem in Aceh Province. This study examines the mapping of mangrove distribution using Sentinel-2A multispectral imagery with composite images of Red, Green, and Blue. This research uses SNAP software. The research stages consist of radiometric correction, atmospheric correction, and multispectral image classification. The method used in image classification is the maximum likelihood algorithm. The use of the maximum likelihood algorithm is because the maximum likelihood algorithm gives the best results among other algorithms. The development of the research is the distribution of mangroves in Langsa City, covering an area of 4727.35 ha, which is divided into three sub-districts and eleven gampong (kelurahan). The sub-districts that have mangrove distribution are East Langsa District covering an area of 3240.25 Ha (68.55%), Langsa Barat District covering an area of 1486.47 Ha (31.45%), and Langsa Lama District covering an area of 0.63 Ha (0.013).
Highlights
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Kota Langsa is one of the areas that has a good representation of the distribution of mangroves
This study examines the mapping of mangrove distribution using Sentinel-2A multispectral imagery with composite images of Red, Green, and Blue
Summary
Mangrove merupakan salah satu ekosistem yang paling produktif dan ekosistem biologis yang sangat penting di dunia karena mangrove menyediakan barang dan jasa ekosistem penting untuk manusia, wilayah pesisir, dan laut. Pemetaan distribusi mangrove menggunakan metode penginderaan jauh sudah banyak dilakukan sebelumnya seperti oleh Rafsenja et al, (2020) yang melakukan penelitian menggunakan citra Landsat 8 dan citra Sentinel-2A. Penelitian lainnya dilakukan oleh Rahmadi et al, (2020) tentang perubahan luasan hutan mangrove menggunakan citra Landsat 8 OLI di Langkat memberikan hasil akurasi citra sebesar 95% dengan klasifikasi multispektral supervised algoritma maximum likelihood. Hasil penelitian lainnya yang dilakukan oleh Akhrianti (2019) tentang pemetaan distribusi spasial mangrove di Pulau Kelapan yaitu citra Sentinel-2A menggunakan klasifikasi maximum likelihood dengan komposit citra RGB (432) memberikan nilai akurasi sebesar 86%. Analisis hasil distribusi hutan mangrove merupakan sebuah temuan baru berdasarkan penggunaan data citra Sentinel 2A dan dapat dijadikan sebagai perbandingan dengan hasil pemetaan menggunakan data penginderaan jauh lainnya
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