A, of Perubahan Luasan Manggrove Menggunakan Data Citra Satelit di Distrik Manokwari Selatan Kabupaten Manokwari
Perubahan Luasan Manggrove Menggunakan Data Citra Satelit di Distrik Manokwari Selatan Kabupaten Manokwari
DOI:
https://doi.org/10.33506/md.v16i1.3272Keywords:
Manggrove, Land use, Degraded, Satellite ImageAbstract
Mangroves are one of the defining characteristics of transitional plants between the sea, water bodies, and land. They are only found in tropical and subtropical regions with some extreme conditions such as high salt content, high temperatures, high waves, sedimentation, and mud. The distribution of mangroves in Indonesia with the highest dense cover is in Papua Province with a total area of 1,084,514 hectares, and West Papua Province has mangrove forests with a total area of 483,800 hectares, 76% of which are primary mangrove forests and the rest are secondary mangrove forests (24%). One method to determine changes in the area of mangrove vegetation is remote sensing technology aimed at identifying changes in the mangrove area covered by the mangrove ecosystem over different periods as potential forest resources using Composite image software ER Mapper series 6.4. Research results During the period 2014 - 2023, there has been a change in the area of mangroves in South Manokwari District with a degraded mangrove forest area of 53,767 hectares, with a deforestation area of 5,974 hectares per year. In the same period, forest degradation of 43,442 hectares also occurred with a degradation area per year of 4,827 hectares. The accuracy level value of Landsat satellite image classification for changes in mangrove area in South Manokwari District, Manokwari Regency in 2014, 2017, 2020, and 2023 reached 92.5%, which means it is quite accurate
References
Ahmed N., M. Glaser. 2016. Coastal aquaculture, mangrove deforestation and blue carbon emission: Is REDD+ a Solution ?. Marine Policy 66:58-68.
Arief, M., Winarso, G., & Prayogo, T. 2011. Kajian Perubahan Garis Pantai Mengguakan Data Satelit Landsat di Kabupaten Kendal. Jurnal Pennginderaan Jauh, 8, 71-80.
Arsyad, S. 2010. Konservasi Tanah dan Air. Bogor: IPB Press.
Candra, D. 2018. Studi Kelestarian Hutan Mangrove di Desa Pemusiran Kecamatan Nipah Panjang Kabupaten Tanjung Jabung Timur Provinsi Jambi. Jurnal Studi Kelestarian Hutan Mangrove di Desa Pemusiran Kecamatan Nipah Panjang Kabupaten Tanjung Jabung Timur Provinsi Jambi
Dasuka, Y. P., Sasmito, B., & Haniah, H. 2016. Analisis sebaran jenis vegetasi hutan alami menggunakan sistem penginderaan jauh (Studi Kasus: Jalur Pendakian Wekas dan Selo). Jurnal Geodesi Undip, 5(2), 1-8.
Giri C., Ochieng E., Tiesen L L., Zhu Z., Singh A., Loveland T., Masek J., Duke N (2010) Status and distribution of Mangrove forest of the world using earth observation satellite data. Global Ecology and Biogeography. DOI:10.1111/j.1466-8283.2010.00584.x.
Geoge B, dkk. 2010. Farmer’s Adaptation and Regional Land-Use Changes in Irrigation Systems under Fluctuating Water Supply, South India. Jurnal of Irrigation and Drainage Engineering Volume 136, Issue 9
Haryanto. 1995. Konservasi keanakaragaman hayati di hutan tropika. Bahan pelatihan teknik dan monitoring biodiversity di hutan tropika Indonesia. Jurusan Konservasi Sumber daya hutan. Fakultas Kehutanan IPB. Bogor.
Humam, A, Hidayat, M., Nurrochman, A, Anestatia, A. I., Yuliantina, A. & Aji, S. P, (2020). Identifikasi Daerah Kerawanan Kebakaran Hutan dan Lahan Menggunakan Sistem Informasi Geografis dan Penginderaan Jauh di Kawasan Tanjung Jabung Barat Provinsi Jambi. Jurnal Geosains dan Remote Sensing, 1(1), 32-42.
Irnawati, I., Soekamto, M. H., & Ohorella, S. (2023). A, of Analisys of Area Function Using a Geographic Information System in the Utilization of the City of Sorong, West Papua. Agrikan Jurnal Agribisnis Perikanan, 16(1), 14-27.
Irnawati, I., Nurhidaya, A. R. H., & Histiarini, A. (2021). Pelatihan Pengolahan Sagu Di Hutan Alam Secara Tradisional Untuk Meningkatkan Nilai Ekonomi Masyarakat Kampung Puragi Distrik Metemani Kabupaten Sorong Selatan Papua Barat. In Seminar Nasional Penelitian Dan Pengabdian Pada Masyarakat.
Kartasasmita, M, 2001, Prospek dan Peluang Industri Penginderaan Jauh di Indonesia, Jakarta: LAPAN&LIPI.
Maliki SA. 2017. Tingkat Kerentanan Bahaya Banjir di Kota Sorong Papua Barat. Master Thesis program Studi Ilmu Lingkungan Program Pascasarjana Universitas Papua Manokwari (tidak diterbitkan).
Muiz, A. 2009. Analisis Perubahan Penggunaan Lahan di Kabupaten Sukabumi. Bogor: Sekolah Pascasarjana IPB.
M. Hrgovic, M. Smoljo and M. Sikora, “Geographic Information System of Historic Core of Split”, SoftCOM, pp. 1-5, 2016.
Nugroho A, Goenadi S, Soetiarso L, Okayasu T. 2012. Monitoring of Hydraulic Gradient in Agriculture Land Use Using Grid Wireless Sensor Network: Case Study In Kalibawang, Kulon Progo, DIY
Onrizal. 2010. Perubahan Tutupan Hutan Mangrove di Pantai Timur Sumatera Utara Periode 1977-2006. Jurnal Biologi Indonesia 6 (2): 163-172.
Prahasta, E. (2001), Konsep – Konsep Dasar Sistem Informasi Geografi, Informatika: Bandung
Prahasta, E. (2001), Konsep – Konsep Dasar Sistem Informasi Geografi, Informatika: Bandung
Soemantri, L. 2009. Teknologi Penginderaan Jauh (Remote Sensing).Universitas Pendidikan Indonesia.
Sudarsono, B. 2011. Inventarisasi Perubahan Wilayah Pantai dengan Metode Penginderaan Jauh (Studi kasus Kota Semarang). Teknik, 32(2), 162-169.
Syarifah, S., Sultoni, R. A., & Aula, M. A. 2016. http://saplanologi.blogspot.co.id/20/16/04/karakteristik-satelit.html
Suwargana, N. 2013. Resolusi spasial, temporal dan spectral pada citra satelit Landsat, SPOT dan IKONOS. Jurnal Ilmiah Widya, 1(2), 167-174.
Wahyudi, 2018. Pemanfaatan & Pengelolaan Sumberdaya Mangrove di Teluk Bintuni-Papua Barat. Teluk Bintuni
Windesi S. 2017. Perubahan Luasan Hutan Mangrove dengan Teknik Penginderaan Jauh di distrik Aimas Kabupaten Sorong. Master thesis program Studi Ilmu Lingkungan Program Pascasarjana Universitas Papua Manokwari (tidak diterbitkan).
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