Penggunaan Data Citra Landsat Multitemporal untuk Monitoring Kondisi Ekosistem Mangrove di Teluk Kulisusu Kabupaten Buton Utara
Abstract
Scientific information mangrove ecosystem at Kulisusu bay was limited. This study aims to identify mangrove ecosystems area change at Kulisusu bay within 20 years periods (1995-2015) using satellite imagery Landsat 5 TM (1995), Landsat 7 ETM (2005) and Landsat 8 OLI (2015). Analysis of the mangrove ecosystem changes was used NDVI algorithm then carried classification canopy density by three classes, high, medium and low density.The changes of mangrove ecosystems were based on the area changes of each 10 year. The NDVI results shown that on 1995 to 2005, high and medium classes were reduced respectively by 340 ha and 36 ha, low class area was 172 ha. The period within 2005 to 2015 shows that high areas were reduced by 756 hectares, then medium and low density class 22 Ha and 680 ha respectively. Conditions mangrove ecosystem during 30 years was from 1995 to 2015 shown that had been a heavy reduction in the high density class about 1096 hectares, a reduction of medium density class was 14 hectares and low class was 852 Ha. The amount of reduction in high density class was caused by the mangrove logging activities for charcoal used as raw materials, and fisherman activities likes boat lines for crab fishing ground in the mangrove ecosystem.
Keywords: mangrove, NDVI, GIS, Kulisusu Bay
Downloads
References
[2] A. D. Purwanto, "Analisis Sebaran Dan Kerapatan Mangrove Menggunakan Citra Landsat 8 di Segara Anakan, Cilacap," in Prosiding Sinas Inderaja, Bogor, 2014.
[3] F. F. Muhsoni, "Pemetaan Kerapatan Mangrove di Kepulauan Kangean Menggunakan Algoritma NDVI," Jurnal Ilmu Kelautan Universitas Trunojoyo, vol. 10, pp. 23-31, 2009.
[4] A. Faizal and M. A. Amran, "Model Transformasi Index Vegetasi Yang Efektif Untuk Prediksi Kerapatan Mangrove Rhizophora Mucronata," in Pertemuan Ilmiah Tahunan MAPIN XIV, Surabaya, 2005.
[5] R. Dewanti, M. Arief and T. Maulana, "Degradasi Tingkat Kerapatan Kanopi Mangrove di Delta Brantas Menggunakan Analisis NDVI Data Landsat Multitemporal," Warta Inderaja, vol. XI, 2 Desember 1998.
[6] N. Suwargama, "Analisis Perubahan Hutan Mangrove Menggunakan Data Penginderaan Jauh di Pantai Bahagia, Muara Gembong, Bekasi," Jurnal Penginderaan Jauh , vol. 5, pp. 64-74, 2008.
[7] X. F. Song and Z. H. Guo, "Remote Sensing of Mangrove Wetlands Identification," Elshevier, vol. 10, pp. 2287-2293, 2011.
[8] V. E. Tablaseray, M. A. Pairin and N. Fakdawer, "Pemetaan sebaran dan Kerapatan Mangrove di Pesisir Timur Pulau Biak, Papua Menggunakan Citra Satelit Landsat 8," Jurnal Perikanan dan Kelautan, vol. 8, pp. 31-39, 2018.
[9] E. H. Putra, Penginderaan Jauh dengan Ermapper, Yogyakarta: Graha Ilmu, 2011.
[10] H. J. D. Waas and B. Nababan, "Pemetaan Dan Analisis Index Vegetasi Mangrove Di Pulau Saparua, Maluku Tengah," Jurnal Ilmu dan Teknologi Kelautan Tropis, vol. 2, no. 1, pp. 50-58, 2010.
[11] F. H. Purwadi, Interpretasi Citra Digital, Jakarta: PT. Grasindo , 2001.
[12] E. P. Green, A. J. Edwards and C. D. Clark, Remote Sensing Hand Book for Tropical Coastal Management, Paris: UNESCO Publishing, 2000.
[13] H. Setiawan, B. Sudarsono and M. Awaluddin, "Identifikasi Daerah Prioritas Rehabilitasi Lahan Kritis Kawasan Hutan Dengan Penginderaan Jauh Dan Sistem Informasi Geografis (Studi Kasus : Kabupaten Pati)," Jurnal Geodesi Undip, vol. 2, no. 3, 2013.
[14] D. Kehutanan, Inventarisasi dan Identifikasi Mangrove Wilayah Balai Pengelolaan DAS Pemali Jratun Propinsi Jawa Tengah, Jakarta: Departemen Kehutanan Direktorat Jenderal Rehabilitasi Lahan dan Perhutanan Sosial, 2006.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All the content on Journal of Science and Applicative Technology (JSAT) may be used under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License.
You are free to:
- Share - copy and redistribute the material in any medium or format
- Adapt - remix, transform, and build upon the material
Under the following terms:
- Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial - You may not use the material for commercial purposes.
- No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.