Introduction of Mangrove Spectral Reflectance Pattern in Benoa Bay as An Indicator of Density Change Based on Landsat 8 Image
Abstract
Studies have been conducted on the introduction of spectral reflectance patterns as an indicator of changes in mangrove density distribution using landsat 8 imagery time series data, in benoa bay area, Bali. Methods and analyses use spectral reflectance and the Vegetation Normalized Difference Vegetation Index (NDVI). The results of determining the value of spectral reflectance show that, changes in mangrove spectral reflectance patterns in Benoa Bay from 2017-2020 have decreased and increased for each band. In the pattern of reflectance band 5 can be used as a reference there has been a reduction in mangrove area, where the smaller the value of reflectants in band 5 in 2017-2020 shows a reduction or change in mangrove density in the year is getting larger. Based on the data of NDVI vegetation index image distribution in 2017-2020 obtained wide cover per category that there is a reduction in mangrove area from 2017 to 2018 of 36.72 ha, but in 2019 mangrove area increased considerably from 2018 of 60.82 ha. In 2020 the mangrove area again experienced a fairly drastic reduction of 181.51 ha. The area recorded is still overgrown with mangroves in 2020 only amounting to 852.39 ha.
Downloads
References
[2] W. E. Suryadyana., I. D. M. Darmawan, dan I. K. A. Wirawan, Eksplorasi Ekosistem Mangrove Teluk Benoa dalam Karya Fotografi Ekspresi, 2018. Available from: http://repo.isi-dps.ac.id/3061/, diakses 10 Desember 2020.
[3] M. Iskandar, T. B. Sanjoto, dan Sutardji, Analisis Kerapatan Vegetasi Menggunakan Teknik Penginderaan Jauh Sebagai Basis Evaluasi Kerusakan Hutan di Taman Nasional Gunung Gede Pangrango, Jurnal unnes, vol. 1, no.1, 2012, pp. 94-101.
[4] E. Molidena dan A. R. As-syakur, Karekteristrik Pola Spektral Vegetasi Hutan Dan Tanaman Industri Bedasarkan Data Penginderaan Jauh, Prosiding Pertemuan Ilmiah Tahunan MAPIN XIX, Makasar, Juni 2012, pp. 1-5.
[5] M. Yuliara, Pemanfaatan Citra Landsat Untuk Studi Karakteristik Reflektan Mangrove Di Benoa, Buletin Fisika Universitas Udayana, vol. 13, no. 1, 2012, pp. 15-19.
[6] M. Yuliara, Studi Karakteristik Reflektan Spektral Cengkeh menggunakan Data Landsat 8 Di Kabupaten Buleleng Bali, Penelitian Mandiri, Universitas Udayana, Bali, 2015.
[7] A. Ridho, Pola Spektral Daun Mangrove Dengan Menggunakan Spektrofotometer Dan Citra Worldview-2 Di Perairan Pulau Pari, Skripsi, Departemen Ilmu dan Teknologi Kelautan, Fakultas Perikanan dan Ilmu Kelautan Institut Pertanian Bogor, 2015.
[8] USGS.gov. USA: Department of the interior, Available from: http://earthexplorer.usgs.gov/. [diakses 4 Desember 2020].
[9] S. Irawan, dan J. Sirait, Perubahan Kerapatan Vegetasi Menggunakan Citra Landsat 8 di Kota Batam Berbasis Web, Jurnal Kelautan, vol. 10, no. 2, 2017, pp. 174-184.
[10] Irwanto, Hutan Mangrove dan Manfaatnya, 2008. Available from: http://irwantoshut.com, diakses 13 Oktober 2020.
[11] E. K. Andana, Pengembangan Data Citra Satelit Landsat-8 Untuk Pemetaan Area Tanaman Hortikultura Dengan Berbagai Metode Algoritma Indeks Vegetasi, Prosiding Seminar Nasional Manajemen Teknologi XXII, Surabaya, 2015, pp. 1-10.
[12] K. Darmo, Analisa Perubahan Luas Tingkat Kerapatan Mangrove Taman Hutan Raya Ngurah Rai Bali dengan Menggunkan Citra Satelit Landsat 8, Buletin Fisika Universitas Udayana, vol. 19, no. 2, 2018, pp. 58-63.
[13] Departemen Kehutanan, Pedoman Inventarisasi dan Identifikasi Lahan Kritis Mangrove, Jakarta, 2005.